{"id":1772,"date":"2023-04-27T20:45:16","date_gmt":"2023-04-27T11:45:16","guid":{"rendered":"https:\/\/edu.ujhb.org\/?p=1772"},"modified":"2023-04-27T20:45:17","modified_gmt":"2023-04-27T11:45:17","slug":"tensorflow%e5%85%a5%e9%97%a8%ef%bc%88%e4%b8%ad%e6%96%87%e7%89%88%ef%bc%89","status":"publish","type":"post","link":"https:\/\/edu.ujhb.org\/?p=1772","title":{"rendered":"TensorFlow\u5165\u95e8\uff08\u4e2d\u6587\u7248\uff09"},"content":{"rendered":"\n<p>\u6211\u662f\u8981\u505aIT\u6559\u7a0b\u7684\u89c6\u9891\uff0c\u4f60\u80fd\u5426\u6839\u636e\u7f51\u7ad9\u7684\u5185\u5bb9\uff0c\u4e3a\u6211\u5b89\u6392\u89c6\u9891\u6559\u7a0b\u7684\u6587\u5b57\u5185\u5bb9\u3002\u6211\u4eec\u5148\u4ecetensorflow\u6559\u7a0b\u5f00\u59cb\uff0c\u4f60\u5148\u4e3a\u6211\u5217\u51fa\u8981\u8bb2\u89e3\u7684\u5185\u5bb9\u4e00\u89c8\u3002<\/p>\n\n\n\n<p>\u5f53\u7136\u53ef\u4ee5\uff01\u6839\u636eTensorFlow\u6559\u7a0b\uff0c\u6211\u4e3a\u60a8\u5217\u51fa\u4ee5\u4e0b\u89c6\u9891\u6559\u7a0b\u7684\u6587\u5b57\u5185\u5bb9\u4e00\u89c8\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>TensorFlow\u7b80\u4ecb\n<ul class=\"wp-block-list\">\n<li>\u4ec0\u4e48\u662fTensorFlow<\/li>\n\n\n\n<li>TensorFlow\u7684\u5386\u53f2\u548c\u53d1\u5c55<\/li>\n\n\n\n<li>TensorFlow\u7684\u5e94\u7528\u9886\u57df<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>TensorFlow\u5b89\u88c5\u4e0e\u73af\u5883\u914d\u7f6e\n<ul class=\"wp-block-list\">\n<li>\u5982\u4f55\u5b89\u88c5TensorFlow<\/li>\n\n\n\n<li>\u68c0\u67e5\u5b89\u88c5\u662f\u5426\u6210\u529f<\/li>\n\n\n\n<li>\u521b\u5efaPython\u865a\u62df\u73af\u5883<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>TensorFlow\u57fa\u672c\u6982\u5ff5\n<ul class=\"wp-block-list\">\n<li>\u5f20\u91cf\uff08Tensors\uff09<\/li>\n\n\n\n<li>\u8ba1\u7b97\u56fe\uff08Graphs\uff09<\/li>\n\n\n\n<li>\u4f1a\u8bdd\uff08Sessions\uff09<\/li>\n\n\n\n<li>\u53d8\u91cf\uff08Variables\uff09<\/li>\n\n\n\n<li>\u64cd\u4f5c\uff08Operations\uff09<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>TensorFlow\u7684\u57fa\u672c\u64cd\u4f5c\n<ul class=\"wp-block-list\">\n<li>\u5f20\u91cf\u521b\u5efa\u548c\u64cd\u4f5c<\/li>\n\n\n\n<li>\u53d8\u91cf\u548c\u5e38\u91cf<\/li>\n\n\n\n<li>\u77e9\u9635\u8fd0\u7b97<\/li>\n\n\n\n<li>\u5f62\u72b6\u64cd\u4f5c<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>TensorFlow\u7ebf\u6027\u56de\u5f52\u6a21\u578b\n<ul class=\"wp-block-list\">\n<li>\u4ec0\u4e48\u662f\u7ebf\u6027\u56de\u5f52<\/li>\n\n\n\n<li>\u6784\u5efa\u7ebf\u6027\u56de\u5f52\u6a21\u578b<\/li>\n\n\n\n<li>\u8bad\u7ec3\u548c\u4f18\u5316\u6a21\u578b<\/li>\n\n\n\n<li>\u8bc4\u4f30\u6a21\u578b\u6027\u80fd<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>TensorFlow\u795e\u7ecf\u7f51\u7edc\u4e0e\u6df1\u5ea6\u5b66\u4e60\n<ul class=\"wp-block-list\">\n<li>\u795e\u7ecf\u7f51\u7edc\u7b80\u4ecb<\/li>\n\n\n\n<li>\u6fc0\u6d3b\u51fd\u6570<\/li>\n\n\n\n<li>\u635f\u5931\u51fd\u6570<\/li>\n\n\n\n<li>\u4f18\u5316\u5668<\/li>\n\n\n\n<li>\u6784\u5efa\u795e\u7ecf\u7f51\u7edc\u6a21\u578b<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\uff08CNN\uff09\u4e0eTensorFlow\n<ul class=\"wp-block-list\">\n<li>\u4ec0\u4e48\u662f\u5377\u79ef\u795e\u7ecf\u7f51\u7edc<\/li>\n\n\n\n<li>CNN\u7684\u57fa\u672c\u7ec4\u4ef6<\/li>\n\n\n\n<li>\u4f7f\u7528TensorFlow\u5b9e\u73b0CNN<\/li>\n\n\n\n<li>\u5b9e\u4f8b\uff1a\u56fe\u50cf\u5206\u7c7b\u4efb\u52a1<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>\u5faa\u73af\u795e\u7ecf\u7f51\u7edc\uff08RNN\uff09\u4e0eTensorFlow\n<ul class=\"wp-block-list\">\n<li>\u4ec0\u4e48\u662f\u5faa\u73af\u795e\u7ecf\u7f51\u7edc<\/li>\n\n\n\n<li>RNN\u7684\u57fa\u672c\u7ec4\u4ef6<\/li>\n\n\n\n<li>\u4f7f\u7528TensorFlow\u5b9e\u73b0RNN<\/li>\n\n\n\n<li>\u5b9e\u4f8b\uff1a\u6587\u672c\u751f\u6210\u4efb\u52a1<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>TensorFlow\u6570\u636e\u5904\u7406\u4e0e\u9884\u5904\u7406\n<ul class=\"wp-block-list\">\n<li>\u6570\u636e\u96c6\u52a0\u8f7d<\/li>\n\n\n\n<li>\u6570\u636e\u9884\u5904\u7406<\/li>\n\n\n\n<li>\u6570\u636e\u589e\u5f3a<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>TensorFlow\u6a21\u578b\u4fdd\u5b58\u4e0e\u52a0\u8f7d<\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u4fdd\u5b58\u6a21\u578b\u6743\u91cd<\/li>\n\n\n\n<li>\u52a0\u8f7d\u6a21\u578b\u6743\u91cd<\/li>\n\n\n\n<li>\u6a21\u578b\u5bfc\u51fa\u4e0e\u5bfc\u5165<\/li>\n<\/ul>\n\n\n\n<ol class=\"wp-block-list\" start=\"11\">\n<li>TensorFlow\u90e8\u7f72\u4e0e\u5e94\u7528<\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li>TensorFlow Serving\u7b80\u4ecb<\/li>\n\n\n\n<li>\u6a21\u578b\u90e8\u7f72<\/li>\n\n\n\n<li>\u6a21\u578b\u5e94\u7528\u4e0e\u8c03\u7528<\/li>\n<\/ul>\n\n\n\n<ol class=\"wp-block-list\" start=\"12\">\n<li>TensorFlow\u6027\u80fd\u4f18\u5316\u4e0eGPU\u52a0\u901f<\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u6027\u80fd\u4f18\u5316\u65b9\u6cd5<\/li>\n\n\n\n<li>\u4f7f\u7528GPU\u8fdb\u884c\u52a0\u901f<\/li>\n\n\n\n<li>\u5206\u5e03\u5f0f\u8ba1\u7b97<\/li>\n<\/ul>\n\n\n\n<p>\u8fd9\u53ea\u662f\u4e00\u4e2a\u57fa\u672c\u7684TensorFlow\u6559\u7a0b\u5927\u7eb2\u3002\u60a8\u53ef\u4ee5\u6839\u636e\u5b9e\u9645\u9700\u8981\u548c\u89c2\u4f17\u9700\u6c42\u8fdb\u884c\u8c03\u6574\u548c\u8865\u5145\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91ca\u4ec0\u4e48\u662fTensorFlow<\/p>\n\n\n\n<p>The previous model used in this conversation is unavailable. We&#8217;ve switched you to the latest default model<\/p>\n\n\n\n<p>TensorFlow\u662f\u4e00\u6b3e\u5f00\u6e90\u7684\u4eba\u5de5\u667a\u80fd\u6846\u67b6\uff0c\u7531Google Brain\u56e2\u961f\u5f00\u53d1\u3002\u5b83\u88ab\u8bbe\u8ba1\u7528\u6765\u6784\u5efa\u3001\u8bad\u7ec3\u548c\u90e8\u7f72\u5927\u89c4\u6a21\u673a\u5668\u5b66\u4e60\u6a21\u578b\u3002TensorFlow\u7684\u540d\u5b57\u6765\u6e90\u4e8e\u5b83\u7684\u6838\u5fc3\u6982\u5ff5\uff1a\u5f20\u91cf\uff08Tensors\uff09\u548c\u6d41\uff08Flow\uff09\u3002<\/p>\n\n\n\n<p>\u5f20\u91cf\u662fTensorFlow\u4e2d\u7684\u6838\u5fc3\u6570\u636e\u7ed3\u6784\uff0c\u53ef\u4ee5\u770b\u505a\u662f\u591a\u7ef4\u6570\u7ec4\u3002\u5728TensorFlow\u4e2d\uff0c\u6240\u6709\u7684\u6570\u636e\u90fd\u662f\u4ee5\u5f20\u91cf\u7684\u5f62\u5f0f\u6765\u8868\u793a\u548c\u4f20\u9012\u7684\u3002\u5f20\u91cf\u53ef\u4ee5\u662f\u6807\u91cf\uff080\u7ef4\uff09\u3001\u5411\u91cf\uff081\u7ef4\uff09\u3001\u77e9\u9635\uff082\u7ef4\uff09\u6216\u66f4\u9ad8\u7ef4\u5ea6\u7684\u6570\u7ec4\u3002\u5f20\u91cf\u7684\u6bcf\u4e2a\u5143\u7d20\u90fd\u662f\u540c\u4e00\u79cd\u6570\u636e\u7c7b\u578b\uff0c\u5982\u6d6e\u70b9\u6570\u3001\u6574\u6570\u7b49\u3002<\/p>\n\n\n\n<p>\u6d41\uff08Flow\uff09\u6307\u7684\u662f\u6570\u636e\u6d41\u56fe\uff08Data Flow Graph\uff09\uff0c\u662fTensorFlow\u7684\u8ba1\u7b97\u6a21\u578b\u3002\u6570\u636e\u6d41\u56fe\u7531\u4e00\u7cfb\u5217\u7684\u8282\u70b9\uff08Nodes\uff09\u548c\u8fb9\uff08Edges\uff09\u6784\u6210\uff0c\u8282\u70b9\u8868\u793a\u64cd\u4f5c\uff08Operations\uff09\uff0c\u8fb9\u8868\u793a\u5f20\u91cf\u4e4b\u95f4\u7684\u4f9d\u8d56\u5173\u7cfb\u3002\u5f53\u6211\u4eec\u5b9a\u4e49\u4e86\u4e00\u4e2a\u6570\u636e\u6d41\u56fe\u540e\uff0cTensorFlow\u4f1a\u81ea\u52a8\u8ba1\u7b97\u6bcf\u4e2a\u8282\u70b9\u7684\u8f93\u51fa\u7ed3\u679c\uff0c\u5e76\u628a\u7ed3\u679c\u4f20\u9012\u7ed9\u4e0b\u4e00\u4e2a\u8282\u70b9\uff0c\u4ece\u800c\u5b8c\u6210\u6574\u4e2a\u8ba1\u7b97\u8fc7\u7a0b\u3002<\/p>\n\n\n\n<p>TensorFlow\u652f\u6301\u591a\u79cd\u7f16\u7a0b\u8bed\u8a00\uff0c\u5982Python\u3001C++\u3001Java\u7b49\uff0c\u4f7f\u5f97\u5b83\u53ef\u4ee5\u88ab\u5e94\u7528\u5230\u5404\u79cd\u573a\u666f\u4e0b\u3002TensorFlow\u8fd8\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u5de5\u5177\u548cAPI\uff0c\u5982TensorBoard\u3001Keras\u7b49\uff0c\u4f7f\u5f97\u7528\u6237\u80fd\u591f\u65b9\u4fbf\u5730\u6784\u5efa\u3001\u8bad\u7ec3\u548c\u90e8\u7f72\u673a\u5668\u5b66\u4e60\u6a21\u578b\u3002<\/p>\n\n\n\n<p>\u603b\u7684\u6765\u8bf4\uff0cTensorFlow\u662f\u4e00\u6b3e\u5f3a\u5927\u3001\u7075\u6d3b\u3001\u6613\u7528\u7684\u673a\u5668\u5b66\u4e60\u6846\u67b6\uff0c\u5e7f\u6cdb\u5e94\u7528\u4e8e\u5404\u79cd\u9886\u57df\uff0c\u5982\u81ea\u7136\u8bed\u8a00\u5904\u7406\u3001\u8ba1\u7b97\u673a\u89c6\u89c9\u3001\u8bed\u97f3\u8bc6\u522b\u7b49\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91caTensorFlow\u7684\u5386\u53f2\u548c\u53d1\u5c55<\/p>\n\n\n\n<p>TensorFlow\u7684\u5386\u53f2\u53ef\u4ee5\u8ffd\u6eaf\u52302011\u5e74\uff0c\u5f53\u65f6Google Brain\u56e2\u961f\u5f00\u59cb\u7814\u7a76\u4e00\u79cd\u53eb\u505aDistBelief\u7684\u5206\u5e03\u5f0f\u673a\u5668\u5b66\u4e60\u6846\u67b6\uff0c\u7528\u4e8e\u5728Google\u5185\u90e8\u8bad\u7ec3\u5927\u89c4\u6a21\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u3002\u4f46\u662fDistBelief\u7684\u4ee3\u7801\u590d\u6742\u3001\u4e0d\u6613\u6269\u5c55\uff0c\u4e14\u4e0d\u652f\u6301GPU\u52a0\u901f\u7b49\u529f\u80fd\uff0c\u56e0\u6b64\u57282015\u5e74Google Brain\u56e2\u961f\u51b3\u5b9a\u91cd\u65b0\u8bbe\u8ba1\u548c\u5b9e\u73b0\u8fd9\u4e2a\u6846\u67b6\uff0c\u8fd9\u5c31\u662fTensorFlow\u7684\u524d\u8eab\u3002<\/p>\n\n\n\n<p>TensorFlow\u4e8e2015\u5e7411\u6708\u5f00\u6e90\u53d1\u5e03\uff0c\u5f53\u65f6\u662f\u7b2c\u4e00\u4e2a\u5f00\u6e90\u7684\u57fa\u4e8e\u6570\u636e\u6d41\u56fe\u8ba1\u7b97\u6a21\u578b\u7684\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\uff0c\u5f15\u8d77\u4e86\u5e7f\u6cdb\u7684\u5173\u6ce8\u548c\u70ed\u8bae\u3002\u7531\u4e8eTensorFlow\u62e5\u6709\u5f3a\u5927\u7684\u529f\u80fd\u548c\u6613\u7528\u7684API\uff0c\u5f88\u5feb\u5c31\u6210\u4e3a\u4e86\u5f53\u65f6\u6700\u53d7\u6b22\u8fce\u7684\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\u4e4b\u4e00\u3002<\/p>\n\n\n\n<p>\u968f\u7740\u65f6\u95f4\u7684\u63a8\u79fb\uff0cTensorFlow\u4e0d\u65ad\u53d1\u5c55\u548c\u5b8c\u5584\uff0c\u63a8\u51fa\u4e86\u8bb8\u591a\u65b0\u7684\u529f\u80fd\u548cAPI\uff0c\u5982Eager Execution\u3001TensorFlow Lite\u3001TensorFlow.js\u7b49\uff0c\u4f7f\u5f97\u5b83\u53ef\u4ee5\u88ab\u5e94\u7528\u4e8e\u5404\u79cd\u573a\u666f\u4e0b\uff0c\u5982\u79fb\u52a8\u7aef\u3001Web\u524d\u7aef\u7b49\u3002\u540c\u65f6\uff0cTensorFlow\u4e5f\u79ef\u6781\u63a8\u52a8\u7740\u6df1\u5ea6\u5b66\u4e60\u9886\u57df\u7684\u53d1\u5c55\uff0c\u5982\u63a8\u51fa\u4e86ImageNet\u6bd4\u8d5b\u3001\u5f00\u6e90\u4e86TensorFlow\u6a21\u578b\u5e93\u7b49\uff0c\u6210\u4e3a\u4e86\u6df1\u5ea6\u5b66\u4e60\u9886\u57df\u7684\u91cd\u8981\u8d21\u732e\u8005\u4e4b\u4e00\u3002<\/p>\n\n\n\n<p>\u9664\u4e86\u5728\u529f\u80fd\u548c\u6280\u672f\u4e0a\u7684\u4e0d\u65ad\u53d1\u5c55\uff0cTensorFlow\u8fd8\u53d7\u5230\u4e86\u5e7f\u6cdb\u7684\u793e\u533a\u652f\u6301\u548c\u8d21\u732e\u3002\u622a\u81f32021\u5e74\uff0cTensorFlow\u7684GitHub\u4ed3\u5e93\u5df2\u7ecf\u6709\u8d85\u8fc7150,000\u4e2a\u661f\u6807\u548c90,000\u4e2afork\uff0c\u62e5\u6709\u8d85\u8fc72,000\u540d\u8d21\u732e\u8005\u548c1,200\u591a\u4e2a\u8d21\u732e\u673a\u6784\uff0c\u6210\u4e3a\u4e86\u5168\u7403\u6700\u5927\u7684\u673a\u5668\u5b66\u4e60\u5f00\u6e90\u793e\u533a\u4e4b\u4e00\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91caTensorFlow\u7684\u5e94\u7528\u9886\u57df<\/p>\n\n\n\n<p>TensorFlow\u88ab\u5e7f\u6cdb\u5e94\u7528\u4e8e\u5404\u79cd\u9886\u57df\uff0c\u5305\u62ec\u81ea\u7136\u8bed\u8a00\u5904\u7406\u3001\u8ba1\u7b97\u673a\u89c6\u89c9\u3001\u8bed\u97f3\u8bc6\u522b\u3001\u673a\u5668\u7ffb\u8bd1\u3001\u56fe\u50cf\u5904\u7406\u7b49\u3002\u4ee5\u4e0b\u662fTensorFlow\u5728\u4e0d\u540c\u5e94\u7528\u9886\u57df\u4e2d\u7684\u5e94\u7528\u4e3e\u4f8b\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u81ea\u7136\u8bed\u8a00\u5904\u7406\n<ul class=\"wp-block-list\">\n<li>\u6587\u672c\u5206\u7c7b\u548c\u60c5\u611f\u5206\u6790<\/li>\n\n\n\n<li>\u547d\u540d\u5b9e\u4f53\u8bc6\u522b<\/li>\n\n\n\n<li>\u673a\u5668\u7ffb\u8bd1\u548c\u5bf9\u8bdd\u7cfb\u7edf<\/li>\n\n\n\n<li>\u8bed\u8a00\u6a21\u578b\u548c\u8bed\u97f3\u8bc6\u522b<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>\u8ba1\u7b97\u673a\u89c6\u89c9\n<ul class=\"wp-block-list\">\n<li>\u56fe\u50cf\u5206\u7c7b\u548c\u8bc6\u522b<\/li>\n\n\n\n<li>\u76ee\u6807\u68c0\u6d4b\u548c\u8ddf\u8e2a<\/li>\n\n\n\n<li>\u56fe\u50cf\u5206\u5272\u548c\u8bed\u4e49\u5206\u5272<\/li>\n\n\n\n<li>\u4eba\u8138\u8bc6\u522b\u548c\u4eba\u8138\u8868\u60c5\u5206\u6790<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>\u8bed\u97f3\u8bc6\u522b\n<ul class=\"wp-block-list\">\n<li>\u8bed\u97f3\u4fe1\u53f7\u5904\u7406\u548c\u7279\u5f81\u63d0\u53d6<\/li>\n\n\n\n<li>\u58f0\u5b66\u6a21\u578b\u548c\u8bed\u8a00\u6a21\u578b\u8bad\u7ec3<\/li>\n\n\n\n<li>\u7aef\u5230\u7aef\u8bed\u97f3\u8bc6\u522b<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>\u673a\u5668\u5b66\u4e60\u548c\u6df1\u5ea6\u5b66\u4e60\n<ul class=\"wp-block-list\">\n<li>\u795e\u7ecf\u7f51\u7edc\u7684\u8bbe\u8ba1\u548c\u4f18\u5316<\/li>\n\n\n\n<li>\u6a21\u578b\u8bad\u7ec3\u548c\u8c03\u53c2<\/li>\n\n\n\n<li>\u6a21\u578b\u9884\u6d4b\u548c\u90e8\u7f72<\/li>\n\n\n\n<li>\u5f3a\u5316\u5b66\u4e60\u548c\u8fc1\u79fb\u5b66\u4e60<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>\u56fe\u50cf\u5904\u7406\u548c\u56fe\u50cf\u751f\u6210\n<ul class=\"wp-block-list\">\n<li>\u56fe\u50cf\u8d85\u5206\u8fa8\u7387\u548c\u964d\u566a<\/li>\n\n\n\n<li>\u56fe\u50cf\u98ce\u683c\u8f6c\u6362\u548c\u56fe\u50cf\u91cd\u5efa<\/li>\n\n\n\n<li>\u5bf9\u6297\u751f\u6210\u7f51\u7edc\uff08GAN\uff09\u548c\u53d8\u5206\u81ea\u7f16\u7801\u5668\uff08VAE\uff09<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>\u5927\u6570\u636e\u5206\u6790\u548c\u63a8\u8350\u7cfb\u7edf\n<ul class=\"wp-block-list\">\n<li>\u6570\u636e\u9884\u5904\u7406\u548c\u7279\u5f81\u5de5\u7a0b<\/li>\n\n\n\n<li>\u63a8\u8350\u7b97\u6cd5\u548c\u4e2a\u6027\u5316\u63a8\u8350<\/li>\n\n\n\n<li>\u65f6\u95f4\u5e8f\u5217\u5206\u6790\u548c\u9884\u6d4b<\/li>\n\n\n\n<li>\u673a\u5668\u5b66\u4e60\u6a21\u578b\u7684\u8bad\u7ec3\u548c\u8bc4\u4f30<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n\n\n\n<p>\u4ee5\u4e0a\u53ea\u662fTensorFlow\u5728\u4e0d\u540c\u9886\u57df\u4e2d\u7684\u4e00\u4e9b\u5178\u578b\u5e94\u7528\uff0c\u5b9e\u9645\u4e0aTensorFlow\u53ef\u4ee5\u88ab\u5e94\u7528\u4e8e\u51e0\u4e4e\u6240\u6709\u9700\u8981\u673a\u5668\u5b66\u4e60\u548c\u6df1\u5ea6\u5b66\u4e60\u6280\u672f\u7684\u9886\u57df\uff0c\u662f\u4e00\u6b3e\u975e\u5e38\u7075\u6d3b\u548c\u591a\u529f\u80fd\u7684\u673a\u5668\u5b66\u4e60\u6846\u67b6\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91ca\u5982\u4f55\u5b89\u88c5TensorFlow<\/p>\n\n\n\n<p>TensorFlow\u7684\u5b89\u88c5\u53ef\u4ee5\u5206\u4e3aCPU\u7248\u672c\u548cGPU\u7248\u672c\u4e24\u79cd\u60c5\u51b5\u3002\u4e0b\u9762\u5206\u522b\u4ecb\u7ecd\u8fd9\u4e24\u79cd\u60c5\u51b5\u7684\u5b89\u88c5\u6b65\u9aa4\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">CPU\u7248\u672c\u5b89\u88c5\u6b65\u9aa4<\/h2>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u5b89\u88c5Python<\/li>\n<\/ol>\n\n\n\n<p>TensorFlow\u662f\u4e00\u6b3ePython\u5e93\uff0c\u56e0\u6b64\u9700\u8981\u9996\u5148\u5b89\u88c5Python\u3002\u5efa\u8bae\u5b89\u88c5Python 3.5-3.8\u7248\u672c\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"2\">\n<li>\u5b89\u88c5pip<\/li>\n<\/ol>\n\n\n\n<p>pip\u662fPython\u7684\u5305\u7ba1\u7406\u5668\uff0c\u7528\u4e8e\u5b89\u88c5Python\u5e93\u3002\u5982\u679c\u60a8\u5df2\u7ecf\u5b89\u88c5\u4e86Python 3.4\u6216\u66f4\u9ad8\u7248\u672c\uff0c\u5219\u5df2\u7ecf\u81ea\u5e26\u4e86pip\u3002\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u6765\u68c0\u67e5pip\u662f\u5426\u5df2\u7ecf\u5b89\u88c5\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">cssCopy code<code>pip --version\n<\/code><\/pre>\n\n\n\n<p>\u5982\u679c\u6ca1\u6709\u5b89\u88c5\uff0c\u5219\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">Copy code<code>sudo apt install python3-pip\n<\/code><\/pre>\n\n\n\n<ol class=\"wp-block-list\" start=\"3\">\n<li>\u5b89\u88c5TensorFlow<\/li>\n<\/ol>\n\n\n\n<p>\u5728\u5b89\u88c5TensorFlow\u4e4b\u524d\uff0c\u53ef\u4ee5\u5148\u521b\u5efa\u4e00\u4e2aPython\u865a\u62df\u73af\u5883\uff0c\u4ee5\u907f\u514d\u4e0e\u5176\u4ed6Python\u5e93\u4ea7\u751f\u51b2\u7a81\u3002\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u6765\u521b\u5efa\u4e00\u4e2a\u540d\u4e3amyenv\u7684\u865a\u62df\u73af\u5883\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">Copy code<code>python3 -m venv myenv\n<\/code><\/pre>\n\n\n\n<p>\u7136\u540e\u6fc0\u6d3b\u865a\u62df\u73af\u5883\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">bashCopy code<code>source myenv\/bin\/activate\n<\/code><\/pre>\n\n\n\n<p>\u63a5\u4e0b\u6765\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u6765\u5b89\u88c5TensorFlow\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">Copy code<code>pip install tensorflow\n<\/code><\/pre>\n\n\n\n<p>\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u6765\u6d4b\u8bd5TensorFlow\u662f\u5426\u6b63\u5e38\u5de5\u4f5c\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">lessCopy code<code>python -c \"import tensorflow as tf;print(tf.reduce_sum(tf.random.normal([1000, 1000])))\"\n<\/code><\/pre>\n\n\n\n<p>\u5982\u679c\u6ca1\u6709\u51fa\u73b0\u9519\u8bef\u4fe1\u606f\uff0c\u5219\u8868\u793aTensorFlow\u5b89\u88c5\u6210\u529f\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">GPU\u7248\u672c\u5b89\u88c5\u6b65\u9aa4<\/h2>\n\n\n\n<p>GPU\u7248\u672c\u7684\u5b89\u88c5\u9700\u8981\u5728\u5b89\u88c5CPU\u7248\u672c\u7684\u57fa\u7840\u4e0a\u505a\u4e00\u4e9b\u989d\u5916\u7684\u914d\u7f6e\u3002\u4e0b\u9762\u662fGPU\u7248\u672c\u5b89\u88c5\u7684\u6b65\u9aa4\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u5b89\u88c5CUDA Toolkit\u548ccuDNN\u5e93<\/li>\n<\/ol>\n\n\n\n<p>CUDA Toolkit\u662f\u7528\u4e8e\u652f\u6301NVIDIA GPU\u7684\u5e76\u884c\u8ba1\u7b97\u5e73\u53f0\uff0ccuDNN\u662fNVIDIA\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u5e93\u3002\u5728\u5b89\u88c5TensorFlow GPU\u7248\u672c\u4e4b\u524d\uff0c\u9700\u8981\u5148\u5b89\u88c5\u8fd9\u4e24\u4e2a\u5e93\u3002<\/p>\n\n\n\n<p>\u53ef\u4ee5\u4eceNVIDIA\u5b98\u7f51\u4e0b\u8f7d\u5e76\u5b89\u88c5CUDA Toolkit\u548ccuDNN\u5e93\uff0c\u5177\u4f53\u7684\u5b89\u88c5\u6b65\u9aa4\u53ef\u4ee5\u53c2\u8003\u5b98\u65b9\u6587\u6863\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"2\">\n<li>\u5b89\u88c5TensorFlow GPU\u7248\u672c<\/li>\n<\/ol>\n\n\n\n<p>\u5728\u5b89\u88c5TensorFlow GPU\u7248\u672c\u4e4b\u524d\uff0c\u9700\u8981\u5148\u5b89\u88c5TensorFlow CPU\u7248\u672c\u3002\u53ef\u4ee5\u6309\u7167\u4e0a\u8ff0\u6b65\u9aa4\u5b89\u88c5TensorFlow CPU\u7248\u672c\u3002<\/p>\n\n\n\n<p>\u7136\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u6765\u5b89\u88c5TensorFlow GPU\u7248\u672c\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">Copy code<code>pip install tensorflow-gpu\n<\/code><\/pre>\n\n\n\n<p>\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u6765\u6d4b\u8bd5TensorFlow GPU\u7248\u672c\u662f\u5426\u6b63\u5e38\u5de5\u4f5c\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">lessCopy code<code>python -c \"import tensorflow as tf; print(tf.reduce_sum(tf.random.normal([1000, 1000])))\"\n<\/code><\/pre>\n\n\n\n<p>\u5982\u679c\u8f93\u51fa\u7ed3\u679c\u4e2d\u5305\u542bGPU\u4fe1\u606f\uff0c\u5219\u8868\u793aTensorFlow GPU\u7248\u672c\u5b89\u88c5\u6210\u529f\u3002<\/p>\n\n\n\n<p>\u9700\u8981\u6ce8\u610f\u7684\u662f\uff0c\u5b89\u88c5GPU\u7248\u672c\u7684TensorFlow\u9700\u8981\u6ee1\u8db3\u4e00\u4e9b\u786c\u4ef6\u548c\u8f6f\u4ef6\u7684\u8981\u6c42\uff0c\u5982NVIDIA GPU\u7684\u578b\u53f7\u548c\u9a71\u52a8\u7248\u672c\u3001CUDA Toolkit\u548ccuDNN\u5e93\u7684\u7248\u672c\u7b49\u3002\u56e0\u6b64\uff0c\u5728\u5b89\u88c5\u4e4b\u524d\u9700\u8981\u4ed4\u7ec6\u9605\u8bfb\u5b98\u65b9\u6587\u6863\uff0c\u5e76\u6839\u636e\u81ea\u5df1\u7684\u786c\u4ef6\u548c\u8f6f\u4ef6\u73af\u5883\u8fdb\u884c\u914d\u7f6e\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91ca\u5982\u4f55\u68c0\u67e5\u5b89\u88c5\u662f\u5426\u6210\u529f<\/p>\n\n\n\n<p>\u5b89\u88c5TensorFlow\u4e4b\u540e\uff0c\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u65b9\u5f0f\u68c0\u67e5\u662f\u5426\u5b89\u88c5\u6210\u529f\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u68c0\u67e5TensorFlow\u7248\u672c<\/li>\n<\/ol>\n\n\n\n<p>\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u6765\u68c0\u67e5TensorFlow\u7684\u7248\u672c\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">scssCopy code<code>python -c \"import tensorflow as tf; print(tf.__version__)\"\n<\/code><\/pre>\n\n\n\n<p>\u5982\u679c\u8f93\u51faTensorFlow\u7684\u7248\u672c\u53f7\uff0c\u5219\u8868\u793aTensorFlow\u5b89\u88c5\u6210\u529f\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"2\">\n<li>\u8fd0\u884c\u4e00\u4e2aTensorFlow\u7a0b\u5e8f<\/li>\n<\/ol>\n\n\n\n<p>\u53ef\u4ee5\u901a\u8fc7\u8fd0\u884c\u4e00\u4e2a\u7b80\u5355\u7684TensorFlow\u7a0b\u5e8f\u6765\u68c0\u67e5\u662f\u5426\u5b89\u88c5\u6210\u529f\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u521b\u5efa\u4e00\u4e2a\u540d\u4e3atest.py\u7684Python\u6587\u4ef6\uff0c\u5e76\u5c06\u4ee5\u4e0b\u4ee3\u7801\u590d\u5236\u5230\u6587\u4ef6\u4e2d\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>import tensorflow as tf\n\nhello = tf.constant('Hello, TensorFlow!')\nsess = tf.Session()\nprint(sess.run(hello))\n<\/code><\/pre>\n\n\n\n<p>\u7136\u540e\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u6765\u8fd0\u884c\u7a0b\u5e8f\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">Copy code<code>python test.py\n<\/code><\/pre>\n\n\n\n<p>\u5982\u679c\u7a0b\u5e8f\u80fd\u591f\u6b63\u5e38\u8fd0\u884c\uff0c\u5e76\u8f93\u51fa&#8221;Hello, TensorFlow!&#8221;\uff0c\u5219\u8868\u793aTensorFlow\u5b89\u88c5\u6210\u529f\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"3\">\n<li>\u68c0\u67e5GPU\u7248\u672c<\/li>\n<\/ol>\n\n\n\n<p>\u5982\u679c\u5b89\u88c5\u4e86GPU\u7248\u672c\u7684TensorFlow\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u6765\u68c0\u67e5GPU\u662f\u5426\u6b63\u5e38\u5de5\u4f5c\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>import tensorflow as tf\n\nwith tf.Session() as sess:\n    devices = sess.list_devices()\n    for device in devices:\n        print(device.name)\n<\/code><\/pre>\n\n\n\n<p>\u5982\u679c\u8f93\u51fa\u7ed3\u679c\u4e2d\u5305\u542bGPU\u4fe1\u606f\uff0c\u5219\u8868\u793aGPU\u6b63\u5e38\u5de5\u4f5c\uff0cTensorFlow GPU\u7248\u672c\u5b89\u88c5\u6210\u529f\u3002<\/p>\n\n\n\n<p>\u4ee5\u4e0a\u662f\u68c0\u67e5TensorFlow\u5b89\u88c5\u662f\u5426\u6210\u529f\u7684\u4e00\u4e9b\u7b80\u5355\u65b9\u6cd5\uff0c\u53ef\u4ee5\u6839\u636e\u9700\u8981\u9009\u62e9\u9002\u5408\u81ea\u5df1\u7684\u65b9\u6cd5\u6765\u68c0\u67e5TensorFlow\u662f\u5426\u5b89\u88c5\u6210\u529f\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91ca\u5982\u4f55\u521b\u5efaPython\u865a\u62df\u73af\u5883<\/p>\n\n\n\n<p>Python\u865a\u62df\u73af\u5883\u662f\u4e00\u79cd\u7528\u4e8e\u9694\u79bb\u4e0d\u540cPython\u9879\u76ee\u7684\u73af\u5883\uff0c\u5b83\u5141\u8bb8\u7528\u6237\u5728\u540c\u4e00\u53f0\u673a\u5668\u4e0a\u4f7f\u7528\u4e0d\u540c\u7248\u672c\u7684Python\u4ee5\u53ca\u5b89\u88c5\u4e0d\u540c\u7684Python\u5e93\uff0c\u800c\u4e0d\u4f1a\u76f8\u4e92\u5f71\u54cd\u3002\u4ee5\u4e0b\u662f\u5728Linux\u7cfb\u7edf\u4e2d\u521b\u5efaPython\u865a\u62df\u73af\u5883\u7684\u6b65\u9aa4\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u5b89\u88c5\u865a\u62df\u73af\u5883\u6a21\u5757<\/li>\n<\/ol>\n\n\n\n<p>\u5728\u4f7f\u7528Python\u865a\u62df\u73af\u5883\u4e4b\u524d\uff0c\u9700\u8981\u5148\u5b89\u88c5\u865a\u62df\u73af\u5883\u6a21\u5757\u3002\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u6765\u5b89\u88c5\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">arduinoCopy code<code>sudo apt-get install python3-venv\n<\/code><\/pre>\n\n\n\n<ol class=\"wp-block-list\" start=\"2\">\n<li>\u521b\u5efa\u865a\u62df\u73af\u5883<\/li>\n<\/ol>\n\n\n\n<p>\u5728\u5b89\u88c5\u4e86\u865a\u62df\u73af\u5883\u6a21\u5757\u4e4b\u540e\uff0c\u5c31\u53ef\u4ee5\u4f7f\u7528\u5b83\u6765\u521b\u5efa\u865a\u62df\u73af\u5883\u4e86\u3002\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u6765\u521b\u5efa\u4e00\u4e2a\u540d\u4e3amyenv\u7684\u865a\u62df\u73af\u5883\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">Copy code<code>python3 -m venv myenv\n<\/code><\/pre>\n\n\n\n<p>\u8fd9\u5c06\u5728\u5f53\u524d\u76ee\u5f55\u4e0b\u521b\u5efa\u4e00\u4e2a\u540d\u4e3amyenv\u7684\u865a\u62df\u73af\u5883\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"3\">\n<li>\u6fc0\u6d3b\u865a\u62df\u73af\u5883<\/li>\n<\/ol>\n\n\n\n<p>\u521b\u5efa\u865a\u62df\u73af\u5883\u4e4b\u540e\uff0c\u9700\u8981\u6fc0\u6d3b\u5b83\u624d\u80fd\u4f7f\u7528\u3002\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u6765\u6fc0\u6d3b\u865a\u62df\u73af\u5883\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">bashCopy code<code>source myenv\/bin\/activate\n<\/code><\/pre>\n\n\n\n<p>\u6fc0\u6d3b\u865a\u62df\u73af\u5883\u4e4b\u540e\uff0c\u7ec8\u7aef\u63d0\u793a\u7b26\u4f1a\u663e\u793a\u865a\u62df\u73af\u5883\u7684\u540d\u79f0\uff08\u4f8b\u5982\uff1a(myenv)\uff09\uff0c\u8868\u793a\u5df2\u7ecf\u6210\u529f\u8fdb\u5165\u865a\u62df\u73af\u5883\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"4\">\n<li>\u4f7f\u7528\u865a\u62df\u73af\u5883<\/li>\n<\/ol>\n\n\n\n<p>\u8fdb\u5165\u865a\u62df\u73af\u5883\u4e4b\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528pip\u6765\u5b89\u88c5Python\u5e93\uff0c\u4f8b\u5982\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">Copy code<code>pip install tensorflow\n<\/code><\/pre>\n\n\n\n<p>\u8fd9\u5c06\u5728\u865a\u62df\u73af\u5883\u4e2d\u5b89\u88c5TensorFlow\u5e93\uff0c\u800c\u4e0d\u4f1a\u5f71\u54cd\u5176\u4ed6Python\u73af\u5883\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"5\">\n<li>\u9000\u51fa\u865a\u62df\u73af\u5883<\/li>\n<\/ol>\n\n\n\n<p>\u5728\u4f7f\u7528\u5b8c\u865a\u62df\u73af\u5883\u4e4b\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u6765\u9000\u51fa\u865a\u62df\u73af\u5883\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">Copy code<code>deactivate\n<\/code><\/pre>\n\n\n\n<p>\u8fd9\u5c06\u9000\u51fa\u865a\u62df\u73af\u5883\u5e76\u8fd4\u56de\u5230\u539f\u6765\u7684Python\u73af\u5883\u4e2d\u3002<\/p>\n\n\n\n<p>\u603b\u7684\u6765\u8bf4\uff0c\u4f7f\u7528Python\u865a\u62df\u73af\u5883\u53ef\u4ee5\u65b9\u4fbf\u5730\u7ba1\u7406\u4e0d\u540cPython\u9879\u76ee\u7684\u73af\u5883\uff0c\u907f\u514d\u56e0\u4e3aPython\u7248\u672c\u548c\u5e93\u7684\u4e0d\u540c\u800c\u4ea7\u751f\u51b2\u7a81\uff0c\u662fPython\u5f00\u53d1\u4e2d\u975e\u5e38\u5b9e\u7528\u7684\u5de5\u5177\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91caTensorFlow\u57fa\u672c\u6982\u5ff5\u5f20\u91cf\uff08Tensors\uff09<\/p>\n\n\n\n<p>TensorFlow\u4e2d\u6700\u91cd\u8981\u7684\u6982\u5ff5\u4e4b\u4e00\u662f\u5f20\u91cf\uff08Tensors\uff09\uff0c\u5f20\u91cf\u662fTensorFlow\u4e2d\u6700\u57fa\u672c\u7684\u6570\u636e\u7c7b\u578b\uff0c\u5b83\u53ef\u4ee5\u88ab\u8ba4\u4e3a\u662f\u591a\u7ef4\u6570\u7ec4\u6216\u77e9\u9635\u7684\u6cdb\u5316\u3002<\/p>\n\n\n\n<p>\u5728TensorFlow\u4e2d\uff0c\u5f20\u91cf\u53ef\u4ee5\u662f0\u7ef4\uff08\u6807\u91cf\uff09\u30011\u7ef4\uff08\u5411\u91cf\uff09\u30012\u7ef4\uff08\u77e9\u9635\uff09\u6216\u66f4\u9ad8\u7ef4\u5ea6\u7684\u6570\u7ec4\uff0c\u5b83\u4eec\u53ef\u4ee5\u5305\u542b\u4efb\u610f\u6570\u91cf\u7684\u5143\u7d20\uff0c\u6bcf\u4e2a\u5143\u7d20\u90fd\u5177\u6709\u76f8\u540c\u7684\u6570\u636e\u7c7b\u578b\uff0c\u4f8b\u5982\u6574\u6570\u3001\u6d6e\u70b9\u6570\u6216\u5e03\u5c14\u503c\u7b49\u3002<\/p>\n\n\n\n<p>TensorFlow\u4e2d\u7684\u5f20\u91cf\u7c7b\u4f3c\u4e8eNumPy\u4e2d\u7684\u6570\u7ec4\uff0c\u4f46\u662f\u5b83\u4eec\u5177\u6709\u4e00\u4e9b\u989d\u5916\u7684\u7279\u6027\uff0c\u5982\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u5f20\u91cf\u53ef\u4ee5\u5728CPU\u6216GPU\u4e0a\u8fdb\u884c\u8ba1\u7b97\uff0c\u53ef\u4ee5\u4f7f\u7528CPU\u548cGPU\u4e4b\u95f4\u7684\u81ea\u52a8\u6570\u636e\u4f20\u8f93\u3002<\/li>\n\n\n\n<li>\u5f20\u91cf\u53ef\u4ee5\u88ab\u81ea\u52a8\u5fae\u5206\uff0c\u4f7f\u5f97\u6df1\u5ea6\u5b66\u4e60\u7684\u53cd\u5411\u4f20\u64ad\u7b97\u6cd5\u53ef\u4ee5\u81ea\u52a8\u8ba1\u7b97\u68af\u5ea6\u3002<\/li>\n\n\n\n<li>\u5f20\u91cf\u53ef\u4ee5\u4e0eTensorFlow\u7684\u8ba1\u7b97\u56fe\uff08Computational Graph\uff09\u4e00\u8d77\u4f7f\u7528\uff0c\u4f7f\u5f97\u590d\u6742\u7684\u8ba1\u7b97\u4efb\u52a1\u53ef\u4ee5\u88ab\u9ad8\u6548\u5730\u5206\u89e3\u548c\u6267\u884c\u3002<\/li>\n<\/ol>\n\n\n\n<p>TensorFlow\u4e2d\u7684\u5f20\u91cf\u6709\u51e0\u79cd\u4e0d\u540c\u7684\u6570\u636e\u7c7b\u578b\uff0c\u5982\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>tf.float32\uff0ctf.float64\uff1a\u5355\u7cbe\u5ea6\u548c\u53cc\u7cbe\u5ea6\u6d6e\u70b9\u6570\u3002<\/li>\n\n\n\n<li>tf.int8\uff0ctf.int16\uff0ctf.int32\uff0ctf.int64\uff1a\u6709\u7b26\u53f7\u6574\u6570\u3002<\/li>\n\n\n\n<li>tf.uint8\uff0ctf.uint16\uff0ctf.uint32\uff0ctf.uint64\uff1a\u65e0\u7b26\u53f7\u6574\u6570\u3002<\/li>\n\n\n\n<li>tf.bool\uff1a\u5e03\u5c14\u7c7b\u578b\u3002<\/li>\n<\/ol>\n\n\n\n<p>\u5728\u4f7f\u7528TensorFlow\u65f6\uff0c\u5f20\u91cf\u662f\u6570\u636e\u5904\u7406\u548c\u8ba1\u7b97\u7684\u57fa\u672c\u5355\u4f4d\uff0c\u7406\u89e3\u548c\u4f7f\u7528\u5f20\u91cf\u662f\u975e\u5e38\u91cd\u8981\u7684\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91caTensorFlow\u57fa\u672c\u6982\u5ff5\u8ba1\u7b97\u56fe\uff08Graphs\uff09<\/p>\n\n\n\n<p>TensorFlow\u4e2d\u7684\u53e6\u4e00\u4e2a\u91cd\u8981\u6982\u5ff5\u662f\u8ba1\u7b97\u56fe\uff08Graphs\uff09\uff0c\u5b83\u662fTensorFlow\u8ba1\u7b97\u6a21\u578b\u7684\u6838\u5fc3\u3002\u8ba1\u7b97\u56fe\u662f\u4e00\u79cd\u6570\u636e\u7ed3\u6784\uff0c\u5b83\u7531\u4e00\u7cfb\u5217\u8282\u70b9\uff08Nodes\uff09\u548c\u8fb9\uff08Edges\uff09\u7ec4\u6210\uff0c\u8282\u70b9\u8868\u793a\u8ba1\u7b97\u64cd\u4f5c\uff0c\u8fb9\u8868\u793a\u6570\u636e\u6d41\u5411\u3002<\/p>\n\n\n\n<p>\u5728TensorFlow\u4e2d\uff0c\u8ba1\u7b97\u56fe\u53ef\u4ee5\u88ab\u770b\u4f5c\u662f\u4e00\u79cd\u9759\u6001\u7684\u8868\u793a\uff0c\u5b83\u5b9a\u4e49\u4e86TensorFlow\u7a0b\u5e8f\u7684\u7ed3\u6784\u548c\u6d41\u7a0b\uff0c\u4f46\u5e76\u4e0d\u6267\u884c\u8ba1\u7b97\u3002\u8ba1\u7b97\u56fe\u53ef\u4ee5\u88ab\u770b\u4f5c\u662fTensorFlow\u7a0b\u5e8f\u7684\u84dd\u56fe\uff0c\u5b83\u63cf\u8ff0\u4e86TensorFlow\u7a0b\u5e8f\u4e2d\u6240\u6709\u7684\u8ba1\u7b97\u64cd\u4f5c\u548c\u5b83\u4eec\u4e4b\u95f4\u7684\u6570\u636e\u4f9d\u8d56\u5173\u7cfb\u3002<\/p>\n\n\n\n<p>\u5728TensorFlow\u4e2d\uff0c\u8ba1\u7b97\u56fe\u53ef\u4ee5\u5206\u4e3a\u4e24\u4e2a\u9636\u6bb5\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u6784\u5efa\u8ba1\u7b97\u56fe\u9636\u6bb5\uff08Build Phase\uff09\uff1a\u5728\u8fd9\u4e2a\u9636\u6bb5\u4e2d\uff0c\u7a0b\u5e8f\u5b9a\u4e49\u4e86\u8ba1\u7b97\u56fe\u7684\u7ed3\u6784\u548c\u8ba1\u7b97\u64cd\u4f5c\uff0c\u5e76\u521b\u5efa\u4e86\u8ba1\u7b97\u56fe\u4e2d\u7684\u8282\u70b9\u548c\u8fb9\u3002<\/li>\n\n\n\n<li>\u8fd0\u884c\u8ba1\u7b97\u56fe\u9636\u6bb5\uff08Run Phase\uff09\uff1a\u5728\u8fd9\u4e2a\u9636\u6bb5\u4e2d\uff0c\u7a0b\u5e8f\u6267\u884c\u8ba1\u7b97\u56fe\u4e2d\u7684\u64cd\u4f5c\uff0c\u5e76\u4f7f\u7528\u6570\u636e\u6765\u586b\u5145\u8ba1\u7b97\u56fe\u4e2d\u7684\u8282\u70b9\u3002<\/li>\n<\/ol>\n\n\n\n<p>\u8ba1\u7b97\u56fe\u7684\u4f18\u70b9\u5728\u4e8e\u5b83\u53ef\u4ee5\u5c06\u7a0b\u5e8f\u7684\u8ba1\u7b97\u5206\u89e3\u6210\u4e00\u7cfb\u5217\u7684\u64cd\u4f5c\uff0c\u7136\u540e\u5c06\u8fd9\u4e9b\u64cd\u4f5c\u7ec4\u5408\u8d77\u6765\u5f62\u6210\u4e00\u4e2a\u8ba1\u7b97\u56fe\u3002\u8fd9\u4f7f\u5f97TensorFlow\u53ef\u4ee5\u5c06\u7a0b\u5e8f\u7684\u8ba1\u7b97\u5206\u5e03\u5230\u4e0d\u540c\u7684\u8bbe\u5907\u4e0a\u6267\u884c\uff0c\u4f8b\u5982CPU\u3001GPU\u548cTPU\u7b49\uff0c\u5e76\u53ef\u4ee5\u5bf9\u8ba1\u7b97\u56fe\u8fdb\u884c\u4f18\u5316\uff0c\u4ee5\u63d0\u9ad8\u7a0b\u5e8f\u7684\u6027\u80fd\u548c\u6548\u7387\u3002<\/p>\n\n\n\n<p>\u5728TensorFlow\u4e2d\uff0c\u8ba1\u7b97\u56fe\u7684\u6784\u5efa\u548c\u6267\u884c\u662f\u5206\u5f00\u7684\uff0c\u8fd9\u4f7f\u5f97TensorFlow\u53ef\u4ee5\u66f4\u597d\u5730\u7ba1\u7406\u7a0b\u5e8f\u7684\u72b6\u6001\u548c\u8d44\u6e90\uff0c\u5e76\u4f7f\u5f97TensorFlow\u5177\u6709\u66f4\u597d\u7684\u53ef\u6269\u5c55\u6027\u548c\u7075\u6d3b\u6027\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91caTensorFlow\u57fa\u672c\u6982\u5ff5\u8ba1\u7b97\u4f1a\u8bdd\uff08Sessions\uff09<\/p>\n\n\n\n<p>\u5728TensorFlow\u4e2d\uff0c\u8ba1\u7b97\u56fe\u662f\u7a0b\u5e8f\u7684\u9759\u6001\u8868\u793a\uff0c\u8ba1\u7b97\u64cd\u4f5c\u662f\u8ba1\u7b97\u56fe\u4e2d\u7684\u8282\u70b9\uff0c\u5f20\u91cf\u662f\u8ba1\u7b97\u56fe\u4e2d\u7684\u8fb9\uff0c\u4f46\u662f\u8ba1\u7b97\u56fe\u5e76\u4e0d\u80fd\u76f4\u63a5\u6267\u884c\u8ba1\u7b97\u64cd\u4f5c\uff0c\u5fc5\u987b\u521b\u5efa\u4e00\u4e2a\u4f1a\u8bdd\uff08Session\uff09\u6765\u6267\u884c\u8ba1\u7b97\u3002<\/p>\n\n\n\n<p>\u4f1a\u8bdd\u662fTensorFlow\u7a0b\u5e8f\u7684\u8fd0\u884c\u73af\u5883\uff0c\u5b83\u63d0\u4f9b\u4e86\u5bf9\u8ba1\u7b97\u56fe\u4e2d\u8282\u70b9\u7684\u6267\u884c\u80fd\u529b\u3002\u901a\u8fc7\u4f1a\u8bdd\uff0c\u7a0b\u5e8f\u53ef\u4ee5\u5bf9\u8ba1\u7b97\u56fe\u4e2d\u7684\u8282\u70b9\u8fdb\u884c\u8ba1\u7b97\uff0c\u5e76\u4e14\u53ef\u4ee5\u5c06\u8ba1\u7b97\u7ed3\u679c\u5b58\u50a8\u5728\u5f20\u91cf\u4e2d\u3002<\/p>\n\n\n\n<p>\u5728TensorFlow\u4e2d\uff0c\u4f1a\u8bdd\u6709\u4e24\u79cd\u7c7b\u578b\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u666e\u901a\u4f1a\u8bdd\uff08Session\uff09\uff1a\u666e\u901a\u4f1a\u8bdd\u662f\u6700\u5e38\u7528\u7684\u4f1a\u8bdd\u7c7b\u578b\uff0c\u5b83\u53ef\u4ee5\u5728\u5355\u4e2a\u8bbe\u5907\u4e0a\u6267\u884c\u8ba1\u7b97\u56fe\u4e2d\u7684\u64cd\u4f5c\uff0c\u5e76\u53ef\u4ee5\u4f7f\u7528Session.run()\u65b9\u6cd5\u6765\u6267\u884c\u8ba1\u7b97\u64cd\u4f5c\u3002<\/li>\n\n\n\n<li>\u4ea4\u4e92\u5f0f\u4f1a\u8bdd\uff08InteractiveSession\uff09\uff1a\u4ea4\u4e92\u5f0f\u4f1a\u8bdd\u662f\u4e00\u79cd\u7279\u6b8a\u7c7b\u578b\u7684\u4f1a\u8bdd\uff0c\u5b83\u5141\u8bb8\u5728\u8ba1\u7b97\u56fe\u6784\u5efa\u7684\u540c\u65f6\u8fdb\u884c\u8ba1\u7b97\uff0c\u53ef\u4ee5\u66f4\u65b9\u4fbf\u5730\u8fdb\u884c\u8c03\u8bd5\u548c\u4ea4\u4e92\u5f0f\u8ba1\u7b97\u3002<\/li>\n<\/ol>\n\n\n\n<p>\u5728\u4f7f\u7528TensorFlow\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u6b65\u9aa4\u6765\u521b\u5efa\u548c\u4f7f\u7528\u4f1a\u8bdd\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u6784\u5efa\u8ba1\u7b97\u56fe\uff1a\u9996\u5148\uff0c\u9700\u8981\u6784\u5efa\u8ba1\u7b97\u56fe\uff0c\u5b9a\u4e49\u8ba1\u7b97\u64cd\u4f5c\u548c\u5f20\u91cf\uff0c\u5e76\u521b\u5efa\u8ba1\u7b97\u56fe\u7684\u8282\u70b9\u548c\u8fb9\u3002<\/li>\n\n\n\n<li>\u521b\u5efa\u4f1a\u8bdd\uff1a\u7136\u540e\uff0c\u9700\u8981\u521b\u5efa\u4e00\u4e2a\u4f1a\u8bdd\uff0c\u4ee5\u4fbf\u5728\u8ba1\u7b97\u56fe\u4e2d\u6267\u884c\u8ba1\u7b97\u64cd\u4f5c\u3002\u53ef\u4ee5\u4f7f\u7528tf.Session()\u51fd\u6570\u6765\u521b\u5efa\u4e00\u4e2a\u666e\u901a\u4f1a\u8bdd\uff0c\u6216\u8005\u4f7f\u7528tf.InteractiveSession()\u51fd\u6570\u6765\u521b\u5efa\u4e00\u4e2a\u4ea4\u4e92\u5f0f\u4f1a\u8bdd\u3002<\/li>\n\n\n\n<li>\u6267\u884c\u8ba1\u7b97\u64cd\u4f5c\uff1a\u4f7f\u7528Session.run()\u65b9\u6cd5\u6765\u6267\u884c\u8ba1\u7b97\u64cd\u4f5c\uff0c\u53ef\u4ee5\u5c06\u8ba1\u7b97\u64cd\u4f5c\u548c\u9700\u8981\u8f93\u5165\u7684\u6570\u636e\u4f5c\u4e3a\u53c2\u6570\u4f20\u9012\u7ed9Session.run()\u65b9\u6cd5\uff0c\u5e76\u83b7\u53d6\u8ba1\u7b97\u7ed3\u679c\u3002<\/li>\n\n\n\n<li>\u5173\u95ed\u4f1a\u8bdd\uff1a\u5728\u4f7f\u7528\u5b8c\u4f1a\u8bdd\u4e4b\u540e\uff0c\u9700\u8981\u5173\u95ed\u4f1a\u8bdd\u6765\u91ca\u653e\u8d44\u6e90\u3002\u53ef\u4ee5\u4f7f\u7528Session.close()\u65b9\u6cd5\u6765\u5173\u95ed\u4f1a\u8bdd\uff0c\u6216\u8005\u4f7f\u7528with\u8bed\u53e5\u6765\u81ea\u52a8\u5173\u95ed\u4f1a\u8bdd\u3002<\/li>\n<\/ol>\n\n\n\n<p>\u603b\u7684\u6765\u8bf4\uff0c\u4f1a\u8bdd\u662fTensorFlow\u7a0b\u5e8f\u7684\u6267\u884c\u73af\u5883\uff0c\u5b83\u63d0\u4f9b\u4e86\u5bf9\u8ba1\u7b97\u56fe\u4e2d\u8282\u70b9\u7684\u6267\u884c\u80fd\u529b\uff0c\u5e76\u5c06\u8ba1\u7b97\u7ed3\u679c\u5b58\u50a8\u5728\u5f20\u91cf\u4e2d\uff0c\u662f\u4f7f\u7528TensorFlow\u8fdb\u884c\u8ba1\u7b97\u7684\u57fa\u7840\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91caTensorFlow\u57fa\u672c\u6982\u5ff5\u53d8\u91cf\uff08Variables\uff09<\/p>\n\n\n\n<p>\u5728TensorFlow\u4e2d\uff0c\u53d8\u91cf\uff08Variables\uff09\u662f\u4e00\u79cd\u7279\u6b8a\u7684\u5f20\u91cf\uff0c\u5b83\u7684\u503c\u53ef\u4ee5\u5728\u8ba1\u7b97\u56fe\u4e2d\u4fdd\u6301\u4e0d\u53d8\uff0c\u76f4\u5230\u663e\u5f0f\u5730\u88ab\u6539\u53d8\u3002\u53d8\u91cf\u662fTensorFlow\u4e2d\u7528\u4e8e\u8868\u793a\u6a21\u578b\u53c2\u6570\u7684\u4e00\u79cd\u6570\u636e\u7c7b\u578b\uff0c\u5b83\u5728\u673a\u5668\u5b66\u4e60\u548c\u6df1\u5ea6\u5b66\u4e60\u4e2d\u8d77\u7740\u975e\u5e38\u91cd\u8981\u7684\u4f5c\u7528\u3002<\/p>\n\n\n\n<p>\u5728TensorFlow\u4e2d\uff0c\u53d8\u91cf\u662f\u7528tf.Variable()\u51fd\u6570\u6765\u521b\u5efa\u7684\uff0c\u4f8b\u5982\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">makefileCopy code<code>import tensorflow as tf\n\n# \u521b\u5efa\u4e00\u4e2a\u53d8\u91cf\nw = tf.Variable(tf.zeros([2, 2]), name=\"weights\")\n\n# \u521d\u59cb\u5316\u53d8\u91cf\ninit_op = tf.global_variables_initializer()\n<\/code><\/pre>\n\n\n\n<p>\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u521b\u5efa\u4e86\u4e00\u4e2a\u540d\u4e3a&#8221;w&#8221;\u7684\u53d8\u91cf\uff0c\u5b83\u662f\u4e00\u4e2a2&#215;2\u7684\u5f20\u91cf\uff0c\u521d\u59cb\u503c\u4e3a\u96f6\u3002\u901a\u8fc7tf.global_variables_initializer()\u51fd\u6570\u6765\u521d\u59cb\u5316\u53d8\u91cf\u3002<\/p>\n\n\n\n<p>\u4e0e\u666e\u901a\u7684\u5f20\u91cf\u4e0d\u540c\uff0c\u53d8\u91cf\u5728\u8ba1\u7b97\u56fe\u4e2d\u6709\u81ea\u5df1\u7684\u751f\u547d\u5468\u671f\uff0c\u5b83\u4eec\u7684\u503c\u53ef\u4ee5\u5728\u591a\u4e2a\u8ba1\u7b97\u56fe\u4e4b\u95f4\u5171\u4eab\uff0c\u5e76\u4e14\u53ef\u4ee5\u5728\u8ba1\u7b97\u56fe\u6267\u884c\u7684\u8fc7\u7a0b\u4e2d\u4fdd\u6301\u4e0d\u53d8\u3002\u5728\u8bad\u7ec3\u795e\u7ecf\u7f51\u7edc\u65f6\uff0c\u53d8\u91cf\u901a\u5e38\u7528\u4e8e\u5b58\u50a8\u6743\u91cd\u548c\u504f\u7f6e\u7b49\u6a21\u578b\u53c2\u6570\uff0c\u8fd9\u4e9b\u53c2\u6570\u7684\u503c\u968f\u7740\u6a21\u578b\u7684\u8bad\u7ec3\u800c\u66f4\u65b0\u3002<\/p>\n\n\n\n<p>\u5728TensorFlow\u4e2d\uff0c\u53d8\u91cf\u7684\u503c\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u65b9\u5f0f\u6765\u66f4\u65b0\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u624b\u52a8\u8d4b\u503c\uff1a\u53ef\u4ee5\u4f7f\u7528assign()\u65b9\u6cd5\u624b\u52a8\u4e3a\u53d8\u91cf\u8d4b\u503c\uff0c\u4f8b\u5982\uff1ajavaCopy code<code>import tensorflow as tf w = tf.Variable(0, name=\"weights\") assign_op = w.assign(5) <\/code>\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u521b\u5efa\u4e86\u4e00\u4e2a\u540d\u4e3a&#8221;w&#8221;\u7684\u53d8\u91cf\uff0c\u521d\u59cb\u503c\u4e3a0\uff0c\u7136\u540e\u4f7f\u7528assign()\u65b9\u6cd5\u5c06\u5176\u8d4b\u503c\u4e3a5\u3002<\/li>\n\n\n\n<li>\u81ea\u52a8\u66f4\u65b0\uff1a\u53d8\u91cf\u7684\u503c\u53ef\u4ee5\u968f\u7740\u8ba1\u7b97\u56fe\u7684\u6267\u884c\u81ea\u52a8\u66f4\u65b0\uff0c\u4f8b\u5982\uff1ajavaCopy code<code>import tensorflow as tf w = tf.Variable(0, name=\"weights\") assign_op = w.assign_add(5) <\/code>\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u521b\u5efa\u4e86\u4e00\u4e2a\u540d\u4e3a&#8221;w&#8221;\u7684\u53d8\u91cf\uff0c\u521d\u59cb\u503c\u4e3a0\uff0c\u7136\u540e\u4f7f\u7528assign_add()\u65b9\u6cd5\u81ea\u52a8\u5c06\u5176\u52a0\u4e0a5\uff0c\u5b9e\u73b0\u81ea\u52a8\u66f4\u65b0\u3002<\/li>\n<\/ol>\n\n\n\n<p>\u603b\u7684\u6765\u8bf4\uff0c\u53d8\u91cf\u662fTensorFlow\u4e2d\u975e\u5e38\u91cd\u8981\u7684\u6982\u5ff5\uff0c\u5b83\u4eec\u5728\u673a\u5668\u5b66\u4e60\u548c\u6df1\u5ea6\u5b66\u4e60\u4e2d\u8d77\u7740\u975e\u5e38\u91cd\u8981\u7684\u4f5c\u7528\uff0c\u7528\u4e8e\u5b58\u50a8\u6a21\u578b\u7684\u53c2\u6570\uff0c\u5e76\u968f\u7740\u6a21\u578b\u7684\u8bad\u7ec3\u8fdb\u884c\u66f4\u65b0\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91caTensorFlow\u57fa\u672c\u6982\u5ff5\u64cd\u4f5c\uff08Operations\uff09<\/p>\n\n\n\n<p>\u5728TensorFlow\u4e2d\uff0c\u64cd\u4f5c\uff08Operations\uff09\u662f\u6784\u5efa\u8ba1\u7b97\u56fe\u7684\u57fa\u672c\u5355\u4f4d\uff0c\u5b83\u8868\u793a\u8ba1\u7b97\u56fe\u4e2d\u7684\u4e00\u4e2a\u8282\u70b9\uff0c\u7528\u4e8e\u5b9e\u73b0\u5404\u79cd\u6570\u5b66\u3001\u903b\u8f91\u548c\u63a7\u5236\u64cd\u4f5c\u3002TensorFlow\u63d0\u4f9b\u4e86\u5927\u91cf\u7684\u64cd\u4f5c\uff0c\u53ef\u4ee5\u6ee1\u8db3\u5404\u79cd\u8ba1\u7b97\u9700\u6c42\u3002<\/p>\n\n\n\n<p>TensorFlow\u7684\u64cd\u4f5c\u53ef\u4ee5\u5206\u4e3a\u4ee5\u4e0b\u51e0\u7c7b\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u6570\u5b66\u64cd\u4f5c\uff1a\u4f8b\u5982\u52a0\u6cd5\u3001\u51cf\u6cd5\u3001\u4e58\u6cd5\u3001\u9664\u6cd5\u3001\u77e9\u9635\u4e58\u6cd5\u7b49\u3002<\/li>\n\n\n\n<li>\u6570\u5b66\u51fd\u6570\uff1a\u4f8b\u5982\u6307\u6570\u3001\u5bf9\u6570\u3001\u4e09\u89d2\u51fd\u6570\u7b49\u3002<\/li>\n\n\n\n<li>\u795e\u7ecf\u7f51\u7edc\u64cd\u4f5c\uff1a\u4f8b\u5982\u5377\u79ef\u3001\u6c60\u5316\u3001\u5f52\u4e00\u5316\u7b49\u3002<\/li>\n\n\n\n<li>\u63a7\u5236\u6d41\u64cd\u4f5c\uff1a\u4f8b\u5982\u6761\u4ef6\u8bed\u53e5\u3001\u5faa\u73af\u8bed\u53e5\u7b49\u3002<\/li>\n<\/ol>\n\n\n\n<p>\u5728TensorFlow\u4e2d\uff0c\u6bcf\u4e2a\u64cd\u4f5c\u90fd\u6709\u4e00\u4e2a\u540d\u79f0\u548c\u4e00\u7ec4\u8f93\u5165\u5f20\u91cf\uff0c\u5b83\u4eec\u53ef\u4ee5\u4ea7\u751f\u4e00\u4e2a\u6216\u591a\u4e2a\u8f93\u51fa\u5f20\u91cf\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u6765\u521b\u5efa\u4e00\u4e2a\u52a0\u6cd5\u64cd\u4f5c\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>import tensorflow as tf\n\n# \u521b\u5efa\u52a0\u6cd5\u64cd\u4f5c\nx = tf.constant(3)\ny = tf.constant(5)\nz = tf.add(x, y)\n\n# \u8fd0\u884c\u52a0\u6cd5\u64cd\u4f5c\nwith tf.Session() as sess:\n    result = sess.run(z)\n    print(result)\n<\/code><\/pre>\n\n\n\n<p>\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u521b\u5efa\u4e86\u4e24\u4e2a\u5e38\u91cf\u5f20\u91cfx\u548cy\uff0c\u7136\u540e\u4f7f\u7528tf.add()\u51fd\u6570\u521b\u5efa\u4e86\u4e00\u4e2a\u52a0\u6cd5\u64cd\u4f5cz\uff0c\u5c06x\u548cy\u4f5c\u4e3a\u8f93\u5165\u5f20\u91cf\u3002\u6700\u540e\u4f7f\u7528Session.run()\u65b9\u6cd5\u6765\u6267\u884c\u52a0\u6cd5\u64cd\u4f5c\uff0c\u5e76\u5c06\u7ed3\u679c\u6253\u5370\u51fa\u6765\u3002<\/p>\n\n\n\n<p>\u5728TensorFlow\u4e2d\uff0c\u64cd\u4f5c\u53ef\u4ee5\u88ab\u7ec4\u7ec7\u6210\u8ba1\u7b97\u56fe\uff0c\u8ba1\u7b97\u56fe\u4e2d\u7684\u8282\u70b9\u8868\u793a\u64cd\u4f5c\uff0c\u8fb9\u8868\u793a\u6570\u636e\u6d41\u3002TensorFlow\u53ef\u4ee5\u81ea\u52a8\u5730\u5c06\u8ba1\u7b97\u56fe\u5206\u89e3\u6210\u4e00\u7cfb\u5217\u7684\u64cd\u4f5c\uff0c\u5e76\u5c06\u5b83\u4eec\u6620\u5c04\u5230\u53ef\u7528\u7684CPU\u3001GPU\u548cTPU\u7b49\u8bbe\u5907\u4e0a\u6267\u884c\u3002<\/p>\n\n\n\n<p>\u603b\u7684\u6765\u8bf4\uff0c\u64cd\u4f5c\u662fTensorFlow\u8ba1\u7b97\u56fe\u4e2d\u7684\u57fa\u672c\u5355\u4f4d\uff0c\u5b83\u4eec\u7528\u4e8e\u5b9e\u73b0\u5404\u79cd\u6570\u5b66\u3001\u903b\u8f91\u548c\u63a7\u5236\u64cd\u4f5c\uff0c\u5e76\u5728\u8ba1\u7b97\u56fe\u4e2d\u7ec4\u7ec7\u6210\u4e00\u7cfb\u5217\u7684\u8282\u70b9\uff0c\u662f\u4f7f\u7528TensorFlow\u8fdb\u884c\u8ba1\u7b97\u7684\u6838\u5fc3\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91caTensorFlow\u7684\u57fa\u672c\u64cd\u4f5c\u5f20\u91cf\u521b\u5efa\u548c\u64cd\u4f5c<\/p>\n\n\n\n<p>TensorFlow\u4e2d\u7684\u5f20\u91cf\uff08Tensors\uff09\u662f\u591a\u7ef4\u6570\u7ec4\u6216\u77e9\u9635\u7684\u6cdb\u5316\uff0c\u662fTensorFlow\u8ba1\u7b97\u56fe\u4e2d\u7684\u57fa\u672c\u6570\u636e\u7c7b\u578b\u3002\u5728TensorFlow\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u5404\u79cd\u64cd\u4f5c\u6765\u521b\u5efa\u548c\u64cd\u4f5c\u5f20\u91cf\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u521b\u5efa\u5f20\u91cf<\/li>\n<\/ol>\n\n\n\n<p>TensorFlow\u63d0\u4f9b\u4e86\u5404\u79cd\u64cd\u4f5c\u6765\u521b\u5efa\u4e0d\u540c\u7c7b\u578b\u7684\u5f20\u91cf\uff0c\u4f8b\u5982\uff1a<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>tf.constant()\uff1a\u521b\u5efa\u5e38\u91cf\u5f20\u91cf\u3002<\/li>\n\n\n\n<li>tf.Variable()\uff1a\u521b\u5efa\u53d8\u91cf\u5f20\u91cf\u3002<\/li>\n\n\n\n<li>tf.zeros()\uff1a\u521b\u5efa\u5168\u96f6\u5f20\u91cf\u3002<\/li>\n\n\n\n<li>tf.ones()\uff1a\u521b\u5efa\u5168\u4e00\u5f20\u91cf\u3002<\/li>\n\n\n\n<li>tf.fill()\uff1a\u521b\u5efa\u6307\u5b9a\u5143\u7d20\u503c\u7684\u5f20\u91cf\u3002<\/li>\n\n\n\n<li>tf.linspace()\uff1a\u521b\u5efa\u7b49\u5dee\u6570\u5217\u5f20\u91cf\u3002<\/li>\n\n\n\n<li>tf.random.normal()\uff1a\u521b\u5efa\u6b63\u6001\u5206\u5e03\u7684\u5f20\u91cf\u3002<\/li>\n\n\n\n<li>tf.random.uniform()\uff1a\u521b\u5efa\u5747\u5300\u5206\u5e03\u7684\u5f20\u91cf\u3002<\/li>\n<\/ul>\n\n\n\n<p>\u4f8b\u5982\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u6765\u521b\u5efa\u4e00\u4e2a3&#215;3\u7684\u5168\u4e00\u5f20\u91cf\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>import tensorflow as tf\n\n# \u521b\u5efa3x3\u7684\u5168\u4e00\u5f20\u91cf\na = tf.ones([3, 3])\n\n# \u8f93\u51fa\u5f20\u91cf\nwith tf.Session() as sess:\n    print(sess.run(a))\n<\/code><\/pre>\n\n\n\n<ol class=\"wp-block-list\" start=\"2\">\n<li>\u5f20\u91cf\u7684\u57fa\u672c\u64cd\u4f5c<\/li>\n<\/ol>\n\n\n\n<p>\u5728TensorFlow\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u5404\u79cd\u64cd\u4f5c\u6765\u5bf9\u5f20\u91cf\u8fdb\u884c\u57fa\u672c\u7684\u6570\u5b66\u548c\u903b\u8f91\u64cd\u4f5c\uff0c\u4f8b\u5982\uff1a<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>tf.add()\uff1a\u5f20\u91cf\u52a0\u6cd5\u3002<\/li>\n\n\n\n<li>tf.subtract()\uff1a\u5f20\u91cf\u51cf\u6cd5\u3002<\/li>\n\n\n\n<li>tf.multiply()\uff1a\u5f20\u91cf\u4e58\u6cd5\u3002<\/li>\n\n\n\n<li>tf.divide()\uff1a\u5f20\u91cf\u9664\u6cd5\u3002<\/li>\n\n\n\n<li>tf.square()\uff1a\u5f20\u91cf\u5e73\u65b9\u3002<\/li>\n\n\n\n<li>tf.sqrt()\uff1a\u5f20\u91cf\u5f00\u65b9\u3002<\/li>\n\n\n\n<li>tf.exp()\uff1a\u5f20\u91cf\u6307\u6570\u51fd\u6570\u3002<\/li>\n\n\n\n<li>tf.log()\uff1a\u5f20\u91cf\u81ea\u7136\u5bf9\u6570\u51fd\u6570\u3002<\/li>\n\n\n\n<li>tf.abs()\uff1a\u5f20\u91cf\u7edd\u5bf9\u503c\u51fd\u6570\u3002<\/li>\n\n\n\n<li>tf.maximum()\uff1a\u5f20\u91cf\u6700\u5927\u503c\u51fd\u6570\u3002<\/li>\n\n\n\n<li>tf.minimum()\uff1a\u5f20\u91cf\u6700\u5c0f\u503c\u51fd\u6570\u3002<\/li>\n<\/ul>\n\n\n\n<p>\u4f8b\u5982\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u6765\u5bf9\u4e24\u4e2a\u5f20\u91cf\u8fdb\u884c\u52a0\u6cd5\u64cd\u4f5c\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">cssCopy code<code>import tensorflow as tf\n\n# \u521b\u5efa\u4e24\u4e2a\u5f20\u91cf\na = tf.constant([1, 2, 3])\nb = tf.constant([4, 5, 6])\n\n# \u5f20\u91cf\u52a0\u6cd5\nc = tf.add(a, b)\n\n# \u8f93\u51fa\u5f20\u91cf\nwith tf.Session() as sess:\n    print(sess.run(c))\n<\/code><\/pre>\n\n\n\n<p>\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u521b\u5efa\u4e86\u4e24\u4e2a\u5e38\u91cf\u5f20\u91cfa\u548cb\uff0c\u7136\u540e\u4f7f\u7528tf.add()\u51fd\u6570\u8fdb\u884c\u52a0\u6cd5\u64cd\u4f5c\uff0c\u5e76\u5c06\u7ed3\u679c\u5b58\u50a8\u5728\u5f20\u91cfc\u4e2d\uff0c\u6700\u540e\u4f7f\u7528Session.run()\u65b9\u6cd5\u6765\u6267\u884c\u52a0\u6cd5\u64cd\u4f5c\uff0c\u5e76\u5c06\u7ed3\u679c\u6253\u5370\u51fa\u6765\u3002<\/p>\n\n\n\n<p>\u603b\u7684\u6765\u8bf4\uff0c\u5f20\u91cf\u662fTensorFlow\u8ba1\u7b97\u56fe\u4e2d\u7684\u57fa\u672c\u6570\u636e\u7c7b\u578b\uff0c\u53ef\u4ee5\u4f7f\u7528\u5404\u79cd\u64cd\u4f5c\u6765\u521b\u5efa\u548c\u64cd\u4f5c\u5f20\u91cf\uff0c\u4f8b\u5982\u6570\u5b66\u548c\u903b\u8f91\u64cd\u4f5c\uff0c\u662fTensorFlow\u8fdb\u884c\u8ba1\u7b97\u7684\u57fa\u7840\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91caTensorFlow\u7684\u57fa\u672c\u64cd\u4f5c\u53d8\u91cf\u548c\u5e38\u91cf<\/p>\n\n\n\n<p>\u5728TensorFlow\u4e2d\uff0c\u53d8\u91cf\u548c\u5e38\u91cf\u662f\u4e24\u79cd\u4e0d\u540c\u7684\u6570\u636e\u7c7b\u578b\uff0c\u5b83\u4eec\u5728TensorFlow\u8ba1\u7b97\u56fe\u4e2d\u6709\u7740\u4e0d\u540c\u7684\u4f5c\u7528\u548c\u7528\u9014\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u5e38\u91cf<\/li>\n<\/ol>\n\n\n\n<p>\u5e38\u91cf\u662fTensorFlow\u4e2d\u7684\u4e00\u79cd\u6570\u636e\u7c7b\u578b\uff0c\u5b83\u7684\u503c\u5728\u8ba1\u7b97\u56fe\u6784\u5efa\u7684\u8fc7\u7a0b\u4e2d\u662f\u4e0d\u53d8\u7684\uff0c\u901a\u5e38\u7528\u4e8e\u5b58\u50a8\u4e0d\u4f1a\u6539\u53d8\u7684\u6570\u636e\uff0c\u4f8b\u5982\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">cssCopy code<code>import tensorflow as tf\n\n# \u521b\u5efa\u5e38\u91cf\u5f20\u91cf\na = tf.constant([1, 2, 3])\nb = tf.constant([4, 5, 6])\n\n# \u5f20\u91cf\u52a0\u6cd5\nc = tf.add(a, b)\n\n# \u8f93\u51fa\u5f20\u91cf\nwith tf.Session() as sess:\n    print(sess.run(c))\n<\/code><\/pre>\n\n\n\n<p>\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u521b\u5efa\u4e86\u4e24\u4e2a\u5e38\u91cf\u5f20\u91cfa\u548cb\uff0c\u5b83\u4eec\u7684\u503c\u5728\u8ba1\u7b97\u56fe\u4e2d\u662f\u4e0d\u53d8\u7684\uff0c\u7136\u540e\u4f7f\u7528tf.add()\u51fd\u6570\u8fdb\u884c\u52a0\u6cd5\u64cd\u4f5c\uff0c\u5e76\u5c06\u7ed3\u679c\u5b58\u50a8\u5728\u5f20\u91cfc\u4e2d\uff0c\u6700\u540e\u4f7f\u7528Session.run()\u65b9\u6cd5\u6765\u6267\u884c\u52a0\u6cd5\u64cd\u4f5c\uff0c\u5e76\u5c06\u7ed3\u679c\u6253\u5370\u51fa\u6765\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"2\">\n<li>\u53d8\u91cf<\/li>\n<\/ol>\n\n\n\n<p>\u53d8\u91cf\u662fTensorFlow\u4e2d\u7684\u53e6\u4e00\u79cd\u6570\u636e\u7c7b\u578b\uff0c\u5b83\u7684\u503c\u5728\u8ba1\u7b97\u56fe\u6784\u5efa\u7684\u8fc7\u7a0b\u4e2d\u662f\u53ef\u4ee5\u6539\u53d8\u7684\uff0c\u901a\u5e38\u7528\u4e8e\u5b58\u50a8\u6a21\u578b\u7684\u53c2\u6570\uff0c\u4f8b\u5982\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>import tensorflow as tf\n\n# \u521b\u5efa\u53d8\u91cf\u5f20\u91cf\nw = tf.Variable(tf.zeros([2, 2]), name=\"weights\")\n\n# \u521d\u59cb\u5316\u53d8\u91cf\ninit_op = tf.global_variables_initializer()\n\n# \u8f93\u51fa\u53d8\u91cf\nwith tf.Session() as sess:\n    sess.run(init_op)\n    print(sess.run(w))\n<\/code><\/pre>\n\n\n\n<p>\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u521b\u5efa\u4e86\u4e00\u4e2a\u540d\u4e3a&#8221;w&#8221;\u7684\u53d8\u91cf\u5f20\u91cf\uff0c\u5b83\u662f\u4e00\u4e2a2&#215;2\u7684\u5f20\u91cf\uff0c\u521d\u59cb\u503c\u4e3a\u96f6\u3002\u7136\u540e\u4f7f\u7528tf.global_variables_initializer()\u51fd\u6570\u6765\u521d\u59cb\u5316\u53d8\u91cf\uff0c\u6700\u540e\u4f7f\u7528Session.run()\u65b9\u6cd5\u6765\u6267\u884c\u521d\u59cb\u5316\u64cd\u4f5c\uff0c\u5e76\u5c06\u53d8\u91cf\u7684\u503c\u6253\u5370\u51fa\u6765\u3002<\/p>\n\n\n\n<p>\u603b\u7684\u6765\u8bf4\uff0c\u5e38\u91cf\u548c\u53d8\u91cf\u662fTensorFlow\u4e2d\u7684\u4e24\u79cd\u4e0d\u540c\u7684\u6570\u636e\u7c7b\u578b\uff0c\u5b83\u4eec\u5728TensorFlow\u8ba1\u7b97\u56fe\u4e2d\u6709\u7740\u4e0d\u540c\u7684\u4f5c\u7528\u548c\u7528\u9014\u3002\u5e38\u91cf\u901a\u5e38\u7528\u4e8e\u5b58\u50a8\u4e0d\u4f1a\u6539\u53d8\u7684\u6570\u636e\uff0c\u800c\u53d8\u91cf\u901a\u5e38\u7528\u4e8e\u5b58\u50a8\u6a21\u578b\u7684\u53c2\u6570\uff0c\u5b83\u4eec\u7684\u503c\u5728\u8ba1\u7b97\u56fe\u6784\u5efa\u7684\u8fc7\u7a0b\u4e2d\u662f\u53ef\u4ee5\u6539\u53d8\u7684\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91caTensorFlow\u7684\u57fa\u672c\u64cd\u4f5c\u77e9\u9635\u8fd0\u7b97<\/p>\n\n\n\n<p>\u77e9\u9635\u8fd0\u7b97\u662fTensorFlow\u4e2d\u7684\u91cd\u8981\u64cd\u4f5c\u4e4b\u4e00\uff0c\u5b83\u7528\u4e8e\u5b9e\u73b0\u6df1\u5ea6\u5b66\u4e60\u548c\u795e\u7ecf\u7f51\u7edc\u7b49\u8ba1\u7b97\u3002TensorFlow\u63d0\u4f9b\u4e86\u5404\u79cd\u77e9\u9635\u8fd0\u7b97\u64cd\u4f5c\uff0c\u4f8b\u5982\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u77e9\u9635\u4e58\u6cd5<\/li>\n<\/ol>\n\n\n\n<p>\u77e9\u9635\u4e58\u6cd5\u662fTensorFlow\u4e2d\u6700\u5e38\u7528\u7684\u77e9\u9635\u8fd0\u7b97\u4e4b\u4e00\uff0c\u5b83\u7528\u4e8e\u5b9e\u73b0\u795e\u7ecf\u7f51\u7edc\u4e2d\u7684\u524d\u5411\u4f20\u64ad\u8fc7\u7a0b\u3002\u53ef\u4ee5\u4f7f\u7528tf.matmul()\u51fd\u6570\u6765\u5b9e\u73b0\u77e9\u9635\u4e58\u6cd5\uff0c\u4f8b\u5982\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">luaCopy code<code>import tensorflow as tf\n\n# \u521b\u5efa\u4e24\u4e2a\u77e9\u9635\na = tf.constant([[1, 2], [3, 4]])\nb = tf.constant([[5, 6], [7, 8]])\n\n# \u77e9\u9635\u4e58\u6cd5\nc = tf.matmul(a, b)\n\n# \u8f93\u51fa\u7ed3\u679c\nwith tf.Session() as sess:\n    print(sess.run(c))\n<\/code><\/pre>\n\n\n\n<p>\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u521b\u5efa\u4e86\u4e24\u4e2a2&#215;2\u7684\u77e9\u9635a\u548cb\uff0c\u7136\u540e\u4f7f\u7528tf.matmul()\u51fd\u6570\u8fdb\u884c\u77e9\u9635\u4e58\u6cd5\u64cd\u4f5c\uff0c\u5e76\u5c06\u7ed3\u679c\u5b58\u50a8\u5728\u77e9\u9635c\u4e2d\uff0c\u6700\u540e\u4f7f\u7528Session.run()\u65b9\u6cd5\u6765\u6267\u884c\u77e9\u9635\u4e58\u6cd5\u64cd\u4f5c\uff0c\u5e76\u5c06\u7ed3\u679c\u6253\u5370\u51fa\u6765\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"2\">\n<li>\u77e9\u9635\u8f6c\u7f6e<\/li>\n<\/ol>\n\n\n\n<p>\u77e9\u9635\u8f6c\u7f6e\u662f\u4e00\u79cd\u5e38\u89c1\u7684\u77e9\u9635\u64cd\u4f5c\uff0c\u5b83\u7528\u4e8e\u5c06\u77e9\u9635\u7684\u884c\u548c\u5217\u4ea4\u6362\u3002\u53ef\u4ee5\u4f7f\u7528tf.transpose()\u51fd\u6570\u6765\u5b9e\u73b0\u77e9\u9635\u8f6c\u7f6e\uff0c\u4f8b\u5982\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">cssCopy code<code>import tensorflow as tf\n\n# \u521b\u5efa\u4e00\u4e2a\u77e9\u9635\na = tf.constant([[1, 2], [3, 4], [5, 6]])\n\n# \u77e9\u9635\u8f6c\u7f6e\nb = tf.transpose(a)\n\n# \u8f93\u51fa\u7ed3\u679c\nwith tf.Session() as sess:\n    print(sess.run(b))\n<\/code><\/pre>\n\n\n\n<p>\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u521b\u5efa\u4e86\u4e00\u4e2a3&#215;2\u7684\u77e9\u9635a\uff0c\u7136\u540e\u4f7f\u7528tf.transpose()\u51fd\u6570\u8fdb\u884c\u77e9\u9635\u8f6c\u7f6e\u64cd\u4f5c\uff0c\u5e76\u5c06\u7ed3\u679c\u5b58\u50a8\u5728\u77e9\u9635b\u4e2d\uff0c\u6700\u540e\u4f7f\u7528Session.run()\u65b9\u6cd5\u6765\u6267\u884c\u77e9\u9635\u8f6c\u7f6e\u64cd\u4f5c\uff0c\u5e76\u5c06\u7ed3\u679c\u6253\u5370\u51fa\u6765\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"3\">\n<li>\u77e9\u9635\u9006<\/li>\n<\/ol>\n\n\n\n<p>\u77e9\u9635\u9006\u662f\u4e00\u79cd\u91cd\u8981\u7684\u77e9\u9635\u64cd\u4f5c\uff0c\u5b83\u7528\u4e8e\u8ba1\u7b97\u77e9\u9635\u7684\u9006\u77e9\u9635\u3002\u53ef\u4ee5\u4f7f\u7528tf.matrix_inverse()\u51fd\u6570\u6765\u5b9e\u73b0\u77e9\u9635\u9006\u64cd\u4f5c\uff0c\u4f8b\u5982\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>import tensorflow as tf\n\n# \u521b\u5efa\u4e00\u4e2a\u77e9\u9635\na = tf.constant([[1, 2], [3, 4]])\n\n# \u77e9\u9635\u9006\nb = tf.matrix_inverse(a)\n\n# \u8f93\u51fa\u7ed3\u679c\nwith tf.Session() as sess:\n    print(sess.run(b))\n<\/code><\/pre>\n\n\n\n<p>\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u521b\u5efa\u4e86\u4e00\u4e2a2&#215;2\u7684\u77e9\u9635a\uff0c\u7136\u540e\u4f7f\u7528tf.matrix_inverse()\u51fd\u6570\u8fdb\u884c\u77e9\u9635\u9006\u64cd\u4f5c\uff0c\u5e76\u5c06\u7ed3\u679c\u5b58\u50a8\u5728\u77e9\u9635b\u4e2d\uff0c\u6700\u540e\u4f7f\u7528Session.run()\u65b9\u6cd5\u6765\u6267\u884c\u77e9\u9635\u9006\u64cd\u4f5c\uff0c\u5e76\u5c06\u7ed3\u679c\u6253\u5370\u51fa\u6765\u3002<\/p>\n\n\n\n<p>\u603b\u7684\u6765\u8bf4\uff0c\u77e9\u9635\u8fd0\u7b97\u662fTensorFlow\u4e2d\u7684\u91cd\u8981\u64cd\u4f5c\u4e4b\u4e00\uff0c\u5b83\u7528\u4e8e\u5b9e\u73b0\u6df1\u5ea6\u5b66<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91caTensorFlow\u7684\u57fa\u672c\u64cd\u4f5c\u5f62\u72b6\u64cd\u4f5c<\/p>\n\n\n\n<p>\u5728TensorFlow\u4e2d\uff0c\u5f62\u72b6\u64cd\u4f5c\u662f\u4e00\u79cd\u5e38\u89c1\u7684\u64cd\u4f5c\uff0c\u7528\u4e8e\u83b7\u53d6\u548c\u4fee\u6539\u5f20\u91cf\u7684\u5f62\u72b6\u4fe1\u606f\u3002TensorFlow\u63d0\u4f9b\u4e86\u591a\u79cd\u5f62\u72b6\u64cd\u4f5c\uff0c\u4e0b\u9762\u4ecb\u7ecd\u51e0\u4e2a\u5e38\u7528\u7684\u5f62\u72b6\u64cd\u4f5c\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u83b7\u53d6\u5f20\u91cf\u5f62\u72b6<\/li>\n<\/ol>\n\n\n\n<p>\u53ef\u4ee5\u4f7f\u7528tf.shape()\u51fd\u6570\u6765\u83b7\u53d6\u5f20\u91cf\u7684\u5f62\u72b6\u4fe1\u606f\uff0c\u4f8b\u5982\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>import tensorflow as tf\n\n# \u521b\u5efa\u4e00\u4e2a\u5f20\u91cf\na = tf.constant([[1, 2], [3, 4], [5, 6]])\n\n# \u83b7\u53d6\u5f20\u91cf\u5f62\u72b6\nshape = tf.shape(a)\n\n# \u8f93\u51fa\u7ed3\u679c\nwith tf.Session() as sess:\n    print(sess.run(shape))\n<\/code><\/pre>\n\n\n\n<p>\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u521b\u5efa\u4e86\u4e00\u4e2a3&#215;2\u7684\u5f20\u91cfa\uff0c\u7136\u540e\u4f7f\u7528tf.shape()\u51fd\u6570\u83b7\u53d6\u5f20\u91cfa\u7684\u5f62\u72b6\u4fe1\u606f\uff0c\u5e76\u5c06\u7ed3\u679c\u5b58\u50a8\u5728\u53d8\u91cfshape\u4e2d\uff0c\u6700\u540e\u4f7f\u7528Session.run()\u65b9\u6cd5\u6765\u6267\u884c\u83b7\u53d6\u5f20\u91cf\u5f62\u72b6\u64cd\u4f5c\uff0c\u5e76\u5c06\u7ed3\u679c\u6253\u5370\u51fa\u6765\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"2\">\n<li>\u6539\u53d8\u5f20\u91cf\u5f62\u72b6<\/li>\n<\/ol>\n\n\n\n<p>\u53ef\u4ee5\u4f7f\u7528tf.reshape()\u51fd\u6570\u6765\u6539\u53d8\u5f20\u91cf\u7684\u5f62\u72b6\u4fe1\u606f\uff0c\u4f8b\u5982\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">cssCopy code<code>import tensorflow as tf\n\n# \u521b\u5efa\u4e00\u4e2a\u5f20\u91cf\na = tf.constant([[1, 2], [3, 4], [5, 6]])\n\n# \u6539\u53d8\u5f20\u91cf\u5f62\u72b6\nb = tf.reshape(a, [2, 3])\n\n# \u8f93\u51fa\u7ed3\u679c\nwith tf.Session() as sess:\n    print(sess.run(b))\n<\/code><\/pre>\n\n\n\n<p>\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u521b\u5efa\u4e86\u4e00\u4e2a3&#215;2\u7684\u5f20\u91cfa\uff0c\u7136\u540e\u4f7f\u7528tf.reshape()\u51fd\u6570\u5c06\u5176\u6539\u53d8\u4e3a2&#215;3\u7684\u5f20\u91cf\uff0c\u5e76\u5c06\u7ed3\u679c\u5b58\u50a8\u5728\u5f20\u91cfb\u4e2d\uff0c\u6700\u540e\u4f7f\u7528Session.run()\u65b9\u6cd5\u6765\u6267\u884c\u6539\u53d8\u5f20\u91cf\u5f62\u72b6\u64cd\u4f5c\uff0c\u5e76\u5c06\u7ed3\u679c\u6253\u5370\u51fa\u6765\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"3\">\n<li>\u6241\u5e73\u5316\u5f20\u91cf<\/li>\n<\/ol>\n\n\n\n<p>\u53ef\u4ee5\u4f7f\u7528tf.reshape()\u51fd\u6570\u6765\u6241\u5e73\u5316\u5f20\u91cf\uff0c\u4f8b\u5982\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">cssCopy code<code>import tensorflow as tf\n\n# \u521b\u5efa\u4e00\u4e2a\u5f20\u91cf\na = tf.constant([[1, 2], [3, 4], [5, 6]])\n\n# \u6241\u5e73\u5316\u5f20\u91cf\nb = tf.reshape(a, [-1])\n\n# \u8f93\u51fa\u7ed3\u679c\nwith tf.Session() as sess:\n    print(sess.run(b))\n<\/code><\/pre>\n\n\n\n<p>\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u521b\u5efa\u4e86\u4e00\u4e2a3&#215;2\u7684\u5f20\u91cfa\uff0c\u7136\u540e\u4f7f\u7528tf.reshape()\u51fd\u6570\u5c06\u5176\u6241\u5e73\u5316\u4e3a\u4e00\u7ef4\u5f20\u91cf\uff0c\u5e76\u5c06\u7ed3\u679c\u5b58\u50a8\u5728\u5f20\u91cfb\u4e2d\uff0c\u6700\u540e\u4f7f\u7528Session.run()\u65b9\u6cd5\u6765\u6267\u884c\u6241\u5e73\u5316\u5f20\u91cf\u64cd\u4f5c\uff0c\u5e76\u5c06\u7ed3\u679c\u6253\u5370\u51fa\u6765\u3002<\/p>\n\n\n\n<p>\u603b\u7684\u6765\u8bf4\uff0c\u5f62\u72b6\u64cd\u4f5c\u662fTensorFlow\u4e2d\u7684\u4e00\u79cd\u91cd\u8981\u64cd\u4f5c\uff0c\u7528\u4e8e\u83b7\u53d6\u548c\u4fee\u6539\u5f20\u91cf\u7684\u5f62\u72b6\u4fe1\u606f\uff0c\u5305\u62ec\u83b7\u53d6\u5f20\u91cf\u5f62\u72b6\u3001\u6539\u53d8\u5f20\u91cf\u5f62\u72b6\u548c\u6241\u5e73\u5316\u5f20\u91cf\u7b49\u64cd\u4f5c\u3002\u5f62\u72b6\u64cd\u4f5c\u5728\u6df1\u5ea6\u5b66\u4e60\u548c\u795e\u7ecf\u7f51\u7edc\u7b49\u8ba1\u7b97\u4e2d\u975e\u5e38\u91cd\u8981\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91ca\u4ec0\u4e48\u662f\u7ebf\u6027\u56de\u5f52<\/p>\n\n\n\n<p>\u7ebf\u6027\u56de\u5f52\u662f\u4e00\u79cd\u5e38\u89c1\u7684\u7edf\u8ba1\u5b66\u65b9\u6cd5\uff0c\u7528\u4e8e\u9884\u6d4b\u4e24\u4e2a\u53d8\u91cf\u4e4b\u95f4\u7684\u5173\u7cfb\u3002\u5728\u673a\u5668\u5b66\u4e60\u548c\u6df1\u5ea6\u5b66\u4e60\u4e2d\uff0c\u7ebf\u6027\u56de\u5f52\u88ab\u5e7f\u6cdb\u5e94\u7528\u4e8e\u9884\u6d4b\u4efb\u52a1\uff0c\u4f8b\u5982\u623f\u4ef7\u9884\u6d4b\u3001\u9500\u552e\u9884\u6d4b\u7b49\u3002<\/p>\n\n\n\n<p>\u7ebf\u6027\u56de\u5f52\u901a\u8fc7\u62df\u5408\u4e00\u6761\u76f4\u7ebf\u6765\u63cf\u8ff0\u4e24\u4e2a\u53d8\u91cf\u4e4b\u95f4\u7684\u7ebf\u6027\u5173\u7cfb\u3002\u5047\u8bbe\u6211\u4eec\u6709\u4e00\u4e2a\u8f93\u5165\u53d8\u91cfx\u548c\u4e00\u4e2a\u8f93\u51fa\u53d8\u91cfy\uff0c\u7ebf\u6027\u56de\u5f52\u6a21\u578b\u53ef\u4ee5\u8868\u793a\u4e3a\uff1a<\/p>\n\n\n\n<p>y = w * x + b<\/p>\n\n\n\n<p>\u5176\u4e2d\uff0cw\u548cb\u662f\u6a21\u578b\u7684\u53c2\u6570\uff0c\u8868\u793a\u659c\u7387\u548c\u622a\u8ddd\uff0c\u53ef\u4ee5\u901a\u8fc7\u8bad\u7ec3\u6570\u636e\u6765\u5b66\u4e60\u3002\u7ebf\u6027\u56de\u5f52\u7684\u76ee\u6807\u662f\u627e\u5230\u6700\u4f18\u7684\u53c2\u6570w\u548cb\uff0c\u4f7f\u5f97\u6a21\u578b\u7684\u9884\u6d4b\u503c\u4e0e\u771f\u5b9e\u503c\u7684\u8bef\u5dee\u6700\u5c0f\u3002<\/p>\n\n\n\n<p>\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u901a\u5e38\u4f7f\u7528\u5747\u65b9\u8bef\u5dee\uff08Mean Squared Error\uff0cMSE\uff09\u4f5c\u4e3a\u635f\u5931\u51fd\u6570\u6765\u8861\u91cf\u6a21\u578b\u7684\u8bef\u5dee\uff0c\u5373\uff1a<\/p>\n\n\n\n<p>MSE = 1\/N * \u2211(y &#8211; y&#8217;)^2<\/p>\n\n\n\n<p>\u5176\u4e2d\uff0cN\u8868\u793a\u6837\u672c\u6570\u91cf\uff0cy\u8868\u793a\u771f\u5b9e\u503c\uff0cy&#8217;\u8868\u793a\u9884\u6d4b\u503c\u3002\u4f18\u5316\u6a21\u578b\u7684\u8fc7\u7a0b\u5c31\u662f\u6700\u5c0f\u5316\u635f\u5931\u51fd\u6570\uff0c\u53ef\u4ee5\u4f7f\u7528\u68af\u5ea6\u4e0b\u964d\u7b49\u4f18\u5316\u7b97\u6cd5\u6765\u5b9e\u73b0\u3002<\/p>\n\n\n\n<p>\u5728TensorFlow\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528tf.keras\u4e2d\u7684Sequential\u6a21\u578b\u6765\u5b9e\u73b0\u7ebf\u6027\u56de\u5f52\u6a21\u578b\uff0c\u4f8b\u5982\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>import tensorflow as tf\nfrom tensorflow import keras\n\n# \u521b\u5efa\u4e00\u4e2aSequential\u6a21\u578b\nmodel = keras.Sequential()\n\n# \u6dfb\u52a0\u4e00\u4e2a\u5168\u8fde\u63a5\u5c42\nmodel.add(keras.layers.Dense(units=1, input_shape=[1]))\n\n# \u7f16\u8bd1\u6a21\u578b\nmodel.compile(optimizer=tf.keras.optimizers.Adam(0.1), loss='mse')\n\n# \u8bad\u7ec3\u6a21\u578b\nhistory = model.fit(x_train, y_train, epochs=1000, verbose=False)\n\n# \u9884\u6d4b\u7ed3\u679c\ny_predict = model.predict(x_test)\n<\/code><\/pre>\n\n\n\n<p>\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u521b\u5efa\u4e86\u4e00\u4e2aSequential\u6a21\u578b\uff0c\u5e76\u6dfb\u52a0\u4e86\u4e00\u4e2a\u5168\u8fde\u63a5\u5c42\uff0c\u4f7f\u7528\u5747\u65b9\u8bef\u5dee\u4f5c\u4e3a\u635f\u5931\u51fd\u6570\uff0c\u4f7f\u7528Adam\u4f18\u5316\u7b97\u6cd5\u8fdb\u884c\u6a21\u578b\u4f18\u5316\u3002\u7136\u540e\u4f7f\u7528fit()\u65b9\u6cd5\u8bad\u7ec3\u6a21\u578b\uff0c\u6700\u540e\u4f7f\u7528predict()\u65b9\u6cd5\u5bf9\u6d4b\u8bd5\u6570\u636e\u8fdb\u884c\u9884\u6d4b\u3002<\/p>\n\n\n\n<p>\u603b\u7684\u6765\u8bf4\uff0c\u7ebf\u6027\u56de\u5f52\u662f\u4e00\u79cd\u5e38\u89c1\u7684\u7edf\u8ba1\u5b66\u65b9\u6cd5\uff0c\u7528\u4e8e\u9884\u6d4b\u4e24\u4e2a\u53d8\u91cf\u4e4b\u95f4\u7684\u5173\u7cfb\u3002\u5728\u673a\u5668\u5b66\u4e60\u548c\u6df1\u5ea6\u5b66\u4e60\u4e2d\uff0c\u7ebf\u6027\u56de\u5f52\u88ab\u5e7f\u6cdb\u5e94\u7528\u4e8e\u9884\u6d4b\u4efb\u52a1\uff0c\u5b83\u7684\u5b9e\u73b0\u65b9\u6cd5\u5f88\u7b80\u5355\uff0c\u4f46\u662f\u53ef\u4ee5\u4f5c\u4e3a\u5176\u4ed6\u66f4\u590d\u6742\u6a21\u578b\u7684\u57fa\u7840\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91ca\u6784\u5efa\u7ebf\u6027\u56de\u5f52\u6a21\u578b<\/p>\n\n\n\n<p>\u6784\u5efa\u7ebf\u6027\u56de\u5f52\u6a21\u578b\u7684\u8fc7\u7a0b\u53ef\u4ee5\u5206\u4e3a\u4ee5\u4e0b\u51e0\u4e2a\u6b65\u9aa4\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u6570\u636e\u9884\u5904\u7406<\/li>\n<\/ol>\n\n\n\n<p>\u5728\u6784\u5efa\u7ebf\u6027\u56de\u5f52\u6a21\u578b\u4e4b\u524d\uff0c\u9700\u8981\u5bf9\u6570\u636e\u8fdb\u884c\u9884\u5904\u7406\u3002\u901a\u5e38\u5305\u62ec\u6570\u636e\u6e05\u6d17\u3001\u6570\u636e\u5f52\u4e00\u5316\u3001\u6570\u636e\u5212\u5206\u7b49\u64cd\u4f5c\u3002\u6570\u636e\u6e05\u6d17\u53ef\u4ee5\u53bb\u9664\u4e0d\u5408\u7406\u7684\u6570\u636e\u548c\u5f02\u5e38\u503c\uff1b\u6570\u636e\u5f52\u4e00\u5316\u53ef\u4ee5\u5c06\u6570\u636e\u7f29\u653e\u5230\u76f8\u540c\u7684\u8303\u56f4\u5185\uff0c\u907f\u514d\u56e0\u4e0d\u540c\u7279\u5f81\u4e4b\u95f4\u7684\u5c3a\u5ea6\u5dee\u5f02\u5bfc\u81f4\u6a21\u578b\u504f\u5dee\uff1b\u6570\u636e\u5212\u5206\u53ef\u4ee5\u5c06\u6570\u636e\u96c6\u5206\u4e3a\u8bad\u7ec3\u96c6\u548c\u6d4b\u8bd5\u96c6\uff0c\u7528\u4e8e\u6a21\u578b\u7684\u8bad\u7ec3\u548c\u6d4b\u8bd5\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"2\">\n<li>\u5b9a\u4e49\u6a21\u578b<\/li>\n<\/ol>\n\n\n\n<p>\u5728TensorFlow\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528tf.keras\u4e2d\u7684Sequential\u6a21\u578b\u6765\u5b9a\u4e49\u7ebf\u6027\u56de\u5f52\u6a21\u578b\u3002Sequential\u6a21\u578b\u662f\u4e00\u79cd\u5e8f\u5217\u6a21\u578b\uff0c\u7528\u4e8e\u6309\u7167\u4e00\u5b9a\u7684\u987a\u5e8f\u5806\u53e0\u5404\u79cd\u7f51\u7edc\u5c42\u3002\u5728\u7ebf\u6027\u56de\u5f52\u4e2d\uff0c\u53ea\u9700\u8981\u6dfb\u52a0\u4e00\u4e2a\u5168\u8fde\u63a5\u5c42\u5373\u53ef\uff0c\u4f8b\u5982\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>import tensorflow as tf\nfrom tensorflow import keras\n\n# \u521b\u5efa\u4e00\u4e2aSequential\u6a21\u578b\nmodel = keras.Sequential()\n\n# \u6dfb\u52a0\u4e00\u4e2a\u5168\u8fde\u63a5\u5c42\nmodel.add(keras.layers.Dense(units=1, input_shape=[1]))\n<\/code><\/pre>\n\n\n\n<p>\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u521b\u5efa\u4e86\u4e00\u4e2aSequential\u6a21\u578b\uff0c\u5e76\u6dfb\u52a0\u4e86\u4e00\u4e2a\u5168\u8fde\u63a5\u5c42\u3002\u5176\u4e2d\uff0cDense\u8868\u793a\u5168\u8fde\u63a5\u5c42\uff0cunits\u8868\u793a\u795e\u7ecf\u5143\u4e2a\u6570\uff0cinput_shape\u8868\u793a\u8f93\u5165\u6570\u636e\u7684\u5f62\u72b6\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"3\">\n<li>\u7f16\u8bd1\u6a21\u578b<\/li>\n<\/ol>\n\n\n\n<p>\u5728\u5b9a\u4e49\u6a21\u578b\u4e4b\u540e\uff0c\u9700\u8981\u7f16\u8bd1\u6a21\u578b\u3002\u7f16\u8bd1\u6a21\u578b\u7684\u8fc7\u7a0b\u4e2d\u9700\u8981\u6307\u5b9a\u635f\u5931\u51fd\u6570\u548c\u4f18\u5316\u7b97\u6cd5\u3002\u5728\u7ebf\u6027\u56de\u5f52\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u5747\u65b9\u8bef\u5dee\uff08Mean Squared Error\uff0cMSE\uff09\u4f5c\u4e3a\u635f\u5931\u51fd\u6570\uff0c\u4f7f\u7528\u68af\u5ea6\u4e0b\u964d\u7b49\u4f18\u5316\u7b97\u6cd5\u8fdb\u884c\u6a21\u578b\u4f18\u5316\uff0c\u4f8b\u5982\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code># \u7f16\u8bd1\u6a21\u578b\nmodel.compile(optimizer=tf.keras.optimizers.Adam(0.1), loss='mse')\n<\/code><\/pre>\n\n\n\n<p>\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u4f7f\u7528Adam\u4f18\u5316\u7b97\u6cd5\u548c\u5747\u65b9\u8bef\u5dee\u4f5c\u4e3a\u635f\u5931\u51fd\u6570\u5bf9\u6a21\u578b\u8fdb\u884c\u7f16\u8bd1\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"4\">\n<li>\u8bad\u7ec3\u6a21\u578b<\/li>\n<\/ol>\n\n\n\n<p>\u5728\u7f16\u8bd1\u6a21\u578b\u4e4b\u540e\uff0c\u9700\u8981\u4f7f\u7528\u8bad\u7ec3\u6570\u636e\u5bf9\u6a21\u578b\u8fdb\u884c\u8bad\u7ec3\u3002\u53ef\u4ee5\u4f7f\u7528fit()\u65b9\u6cd5\u8fdb\u884c\u6a21\u578b\u8bad\u7ec3\uff0c\u4f8b\u5982\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">bashCopy code<code># \u8bad\u7ec3\u6a21\u578b\nhistory = model.fit(x_train, y_train, epochs=1000, verbose=False)\n<\/code><\/pre>\n\n\n\n<p>\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u4f7f\u7528\u8bad\u7ec3\u6570\u636e\u5bf9\u6a21\u578b\u8fdb\u884c1000\u6b21\u8bad\u7ec3\uff0c\u5e76\u5c06\u8bad\u7ec3\u7ed3\u679c\u5b58\u50a8\u5728history\u53d8\u91cf\u4e2d\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"5\">\n<li>\u9884\u6d4b\u7ed3\u679c<\/li>\n<\/ol>\n\n\n\n<p>\u5728\u6a21\u578b\u8bad\u7ec3\u5b8c\u6210\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528\u6d4b\u8bd5\u6570\u636e\u5bf9\u6a21\u578b\u8fdb\u884c\u9884\u6d4b\u3002\u53ef\u4ee5\u4f7f\u7528predict()\u65b9\u6cd5\u8fdb\u884c\u6a21\u578b\u9884\u6d4b\uff0c\u4f8b\u5982\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">makefileCopy code<code># \u9884\u6d4b\u7ed3\u679c\ny_predict = model.predict(x_test)\n<\/code><\/pre>\n\n\n\n<p>\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u4f7f\u7528\u6d4b\u8bd5\u6570\u636e\u5bf9\u6a21\u578b\u8fdb\u884c\u9884\u6d4b\uff0c\u5e76\u5c06\u9884\u6d4b\u7ed3\u679c\u5b58\u50a8\u5728y_predict\u53d8\u91cf\u4e2d\u3002<\/p>\n\n\n\n<p>\u603b\u7684\u6765\u8bf4\uff0c\u6784\u5efa\u7ebf\u6027\u56de\u5f52\u6a21\u578b\u7684\u8fc7\u7a0b\u5305\u62ec\u6570\u636e\u9884\u5904\u7406\u3001\u5b9a\u4e49\u6a21\u578b\u3001\u7f16\u8bd1\u6a21\u578b\u3001\u8bad<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u7ee7\u7eed<\/p>\n\n\n\n<p>\u603b\u7684\u6765\u8bf4\uff0c\u6784\u5efa\u7ebf\u6027\u56de\u5f52\u6a21\u578b\u7684\u8fc7\u7a0b\u5305\u62ec\u6570\u636e\u9884\u5904\u7406\u3001\u5b9a\u4e49\u6a21\u578b\u3001\u7f16\u8bd1\u6a21\u578b\u3001\u8bad\u7ec3\u6a21\u578b\u548c\u9884\u6d4b\u7ed3\u679c\u3002\u5728\u6a21\u578b\u8bad\u7ec3\u548c\u9884\u6d4b\u7684\u8fc7\u7a0b\u4e2d\uff0c\u8fd8\u9700\u8981\u5bf9\u6a21\u578b\u8fdb\u884c\u8bc4\u4f30\u548c\u53ef\u89c6\u5316\uff0c\u4ee5\u4fbf\u66f4\u597d\u5730\u7406\u89e3\u6a21\u578b\u7684\u6027\u80fd\u548c\u8868\u73b0\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"6\">\n<li>\u8bc4\u4f30\u6a21\u578b<\/li>\n<\/ol>\n\n\n\n<p>\u5728\u6a21\u578b\u8bad\u7ec3\u548c\u9884\u6d4b\u5b8c\u6210\u540e\uff0c\u9700\u8981\u5bf9\u6a21\u578b\u8fdb\u884c\u8bc4\u4f30\u3002\u53ef\u4ee5\u4f7f\u7528evaluate()\u65b9\u6cd5\u8ba1\u7b97\u6a21\u578b\u7684\u635f\u5931\u548c\u6307\u6807\uff0c\u4f8b\u5982\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">bashCopy code<code># \u8bc4\u4f30\u6a21\u578b\nloss, mse = model.evaluate(x_test, y_test)\n<\/code><\/pre>\n\n\n\n<p>\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u4f7f\u7528\u6d4b\u8bd5\u6570\u636e\u5bf9\u6a21\u578b\u8fdb\u884c\u8bc4\u4f30\uff0c\u5e76\u5c06\u635f\u5931\u548c\u5747\u65b9\u8bef\u5dee\u5b58\u50a8\u5728loss\u548cmse\u53d8\u91cf\u4e2d\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"7\">\n<li>\u53ef\u89c6\u5316\u7ed3\u679c<\/li>\n<\/ol>\n\n\n\n<p>\u5728\u8bad\u7ec3\u548c\u8bc4\u4f30\u8fc7\u7a0b\u4e2d\uff0c\u8fd8\u53ef\u4ee5\u4f7f\u7528TensorBoard\u6765\u53ef\u89c6\u5316\u6a21\u578b\u7684\u8bad\u7ec3\u548c\u8bc4\u4f30\u7ed3\u679c\u3002\u53ef\u4ee5\u4f7f\u7528tf.keras.callbacks\u4e2d\u7684TensorBoard\u56de\u8c03\u51fd\u6570\u6765\u5b9e\u73b0\uff0c\u4f8b\u5982\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>import tensorflow as tf\nfrom tensorflow import keras\n\n# \u521b\u5efa\u4e00\u4e2aSequential\u6a21\u578b\nmodel = keras.Sequential()\n\n# \u6dfb\u52a0\u4e00\u4e2a\u5168\u8fde\u63a5\u5c42\nmodel.add(keras.layers.Dense(units=1, input_shape=[1]))\n\n# \u7f16\u8bd1\u6a21\u578b\nmodel.compile(optimizer=tf.keras.optimizers.Adam(0.1), loss='mse')\n\n# \u5b9a\u4e49TensorBoard\u56de\u8c03\u51fd\u6570\ncallbacks = [tf.keras.callbacks.TensorBoard(log_dir='.\/logs')]\n\n# \u8bad\u7ec3\u6a21\u578b\nhistory = model.fit(x_train, y_train, epochs=1000, verbose=False, callbacks=callbacks)\n<\/code><\/pre>\n\n\n\n<p>\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u521b\u5efa\u4e86\u4e00\u4e2aSequential\u6a21\u578b\uff0c\u5e76\u6dfb\u52a0\u4e86\u4e00\u4e2a\u5168\u8fde\u63a5\u5c42\uff0c\u4f7f\u7528TensorBoard\u56de\u8c03\u51fd\u6570\u6765\u8bb0\u5f55\u8bad\u7ec3\u548c\u8bc4\u4f30\u7ed3\u679c\uff0c\u5e76\u5c06\u8bb0\u5f55\u4fdd\u5b58\u5728.\/logs\u76ee\u5f55\u4e2d\u3002\u7136\u540e\u4f7f\u7528fit()\u65b9\u6cd5\u8bad\u7ec3\u6a21\u578b\uff0c\u6307\u5b9acallbacks\u53c2\u6570\u4e3aTensorBoard\u56de\u8c03\u51fd\u6570\u3002<\/p>\n\n\n\n<p>\u603b\u7684\u6765\u8bf4\uff0c\u6784\u5efa\u7ebf\u6027\u56de\u5f52\u6a21\u578b\u7684\u8fc7\u7a0b\u9700\u8981\u6ce8\u610f\u6570\u636e\u9884\u5904\u7406\u3001\u6a21\u578b\u5b9a\u4e49\u548c\u7f16\u8bd1\u3001\u6a21\u578b\u8bad\u7ec3\u548c\u8bc4\u4f30\u3001\u7ed3\u679c\u53ef\u89c6\u5316\u7b49\u591a\u4e2a\u65b9\u9762\u3002\u5bf9\u4e8e\u521d\u5b66\u8005\u6765\u8bf4\uff0c\u5efa\u8bae\u5148\u4ece\u7b80\u5355\u7684\u7ebf\u6027\u56de\u5f52\u6a21\u578b\u5f00\u59cb\uff0c\u9010\u6b65\u638c\u63e1\u6784\u5efa\u6a21\u578b\u7684\u6280\u5de7\u548c\u65b9\u6cd5\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91ca\u8bad\u7ec3\u548c\u4f18\u5316\u6a21\u578b<\/p>\n\n\n\n<p>\u8bad\u7ec3\u548c\u4f18\u5316\u6a21\u578b\u662f\u673a\u5668\u5b66\u4e60\u548c\u6df1\u5ea6\u5b66\u4e60\u4e2d\u975e\u5e38\u91cd\u8981\u7684\u4e00\u6b65\uff0c\u5176\u76ee\u7684\u662f\u901a\u8fc7\u4e0d\u65ad\u8fed\u4ee3\u548c\u8c03\u6574\u6a21\u578b\u53c2\u6570\uff0c\u4f7f\u5f97\u6a21\u578b\u80fd\u591f\u66f4\u597d\u5730\u62df\u5408\u6570\u636e\uff0c\u5e76\u5177\u6709\u66f4\u597d\u7684\u6cdb\u5316\u80fd\u529b\u3002<\/p>\n\n\n\n<p>\u8bad\u7ec3\u6a21\u578b\u7684\u8fc7\u7a0b\u53ef\u4ee5\u5206\u4e3a\u4ee5\u4e0b\u51e0\u4e2a\u6b65\u9aa4\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u5b9a\u4e49\u6a21\u578b<\/li>\n<\/ol>\n\n\n\n<p>\u5728\u8bad\u7ec3\u6a21\u578b\u4e4b\u524d\uff0c\u9700\u8981\u5148\u5b9a\u4e49\u6a21\u578b\u3002\u53ef\u4ee5\u4f7f\u7528TensorFlow\u4e2d\u7684\u9ad8\u7ea7API\uff0c\u4f8b\u5982tf.keras\u6765\u5b9a\u4e49\u6a21\u578b\u3002\u5728\u5b9a\u4e49\u6a21\u578b\u65f6\uff0c\u9700\u8981\u9009\u62e9\u5408\u9002\u7684\u7f51\u7edc\u7ed3\u6784\u3001\u6fc0\u6d3b\u51fd\u6570\u3001\u635f\u5931\u51fd\u6570\u7b49\u53c2\u6570\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"2\">\n<li>\u51c6\u5907\u6570\u636e<\/li>\n<\/ol>\n\n\n\n<p>\u5728\u8bad\u7ec3\u6a21\u578b\u4e4b\u524d\uff0c\u9700\u8981\u5c06\u6570\u636e\u96c6\u5206\u4e3a\u8bad\u7ec3\u96c6\u548c\u6d4b\u8bd5\u96c6\u3002\u53ef\u4ee5\u4f7f\u7528train_test_split()\u51fd\u6570\u6765\u5b9e\u73b0\u6570\u636e\u96c6\u7684\u5212\u5206\u3002\u540c\u65f6\uff0c\u8fd8\u9700\u8981\u5bf9\u6570\u636e\u8fdb\u884c\u9884\u5904\u7406\uff0c\u4f8b\u5982\u5f52\u4e00\u5316\u3001\u6807\u51c6\u5316\u3001\u7f29\u653e\u7b49\u64cd\u4f5c\uff0c\u4ee5\u907f\u514d\u4e0d\u540c\u7279\u5f81\u4e4b\u95f4\u7684\u5c3a\u5ea6\u5dee\u5f02\u5bfc\u81f4\u6a21\u578b\u504f\u5dee\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"3\">\n<li>\u7f16\u8bd1\u6a21\u578b<\/li>\n<\/ol>\n\n\n\n<p>\u5728\u51c6\u5907\u597d\u6570\u636e\u548c\u5b9a\u4e49\u597d\u6a21\u578b\u4e4b\u540e\uff0c\u9700\u8981\u7f16\u8bd1\u6a21\u578b\u3002\u7f16\u8bd1\u6a21\u578b\u7684\u8fc7\u7a0b\u4e2d\u9700\u8981\u6307\u5b9a\u635f\u5931\u51fd\u6570\u548c\u4f18\u5316\u7b97\u6cd5\u3002\u635f\u5931\u51fd\u6570\u7528\u4e8e\u8861\u91cf\u6a21\u578b\u7684\u8bef\u5dee\uff0c\u4f18\u5316\u7b97\u6cd5\u7528\u4e8e\u4f18\u5316\u6a21\u578b\u53c2\u6570\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"4\">\n<li>\u8bad\u7ec3\u6a21\u578b<\/li>\n<\/ol>\n\n\n\n<p>\u5728\u7f16\u8bd1\u6a21\u578b\u4e4b\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528fit()\u65b9\u6cd5\u8bad\u7ec3\u6a21\u578b\u3002\u5728\u8bad\u7ec3\u6a21\u578b\u7684\u8fc7\u7a0b\u4e2d\uff0c\u9700\u8981\u6307\u5b9a\u8bad\u7ec3\u6570\u636e\u548c\u6807\u7b7e\u3001\u6279\u91cf\u5927\u5c0f\u3001\u8fed\u4ee3\u6b21\u6570\u7b49\u53c2\u6570\u3002\u53ef\u4ee5\u4f7f\u7528\u56de\u8c03\u51fd\u6570\u6765\u5b9e\u73b0\u52a8\u6001\u8c03\u6574\u5b66\u4e60\u7387\u3001\u8bb0\u5f55\u8bad\u7ec3\u8fc7\u7a0b\u7b49\u64cd\u4f5c\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"5\">\n<li>\u8bc4\u4f30\u6a21\u578b<\/li>\n<\/ol>\n\n\n\n<p>\u5728\u8bad\u7ec3\u6a21\u578b\u4e4b\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528evaluate()\u65b9\u6cd5\u8bc4\u4f30\u6a21\u578b\u7684\u6027\u80fd\u3002\u53ef\u4ee5\u4f7f\u7528\u6d4b\u8bd5\u6570\u636e\u96c6\u6765\u8ba1\u7b97\u6a21\u578b\u7684\u635f\u5931\u548c\u6307\u6807\uff0c\u4f8b\u5982\u5747\u65b9\u8bef\u5dee\uff08MSE\uff09\u3001\u51c6\u786e\u7387\u7b49\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"6\">\n<li>\u9884\u6d4b\u7ed3\u679c<\/li>\n<\/ol>\n\n\n\n<p>\u5728\u6a21\u578b\u8bad\u7ec3\u548c\u8bc4\u4f30\u5b8c\u6210\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528predict()\u65b9\u6cd5\u5bf9\u65b0\u6570\u636e\u8fdb\u884c\u9884\u6d4b\u3002\u9884\u6d4b\u7ed3\u679c\u53ef\u4ee5\u7528\u4e8e\u540e\u7eed\u7684\u5e94\u7528\u6216\u8005\u5176\u4ed6\u4efb\u52a1\u4e2d\u3002<\/p>\n\n\n\n<p>\u4f18\u5316\u6a21\u578b\u7684\u8fc7\u7a0b\u4e3b\u8981\u5305\u62ec\u4ee5\u4e0b\u51e0\u4e2a\u65b9\u9762\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u5b66\u4e60\u7387\u8c03\u6574<\/li>\n<\/ol>\n\n\n\n<p>\u5b66\u4e60\u7387\u662f\u63a7\u5236\u6a21\u578b\u53c2\u6570\u66f4\u65b0\u901f\u5ea6\u7684\u91cd\u8981\u53c2\u6570\u3002\u53ef\u4ee5\u4f7f\u7528\u56fa\u5b9a\u5b66\u4e60\u7387\u6216\u8005\u52a8\u6001\u5b66\u4e60\u7387\u6765\u4f18\u5316\u6a21\u578b\u3002\u5e38\u89c1\u7684\u52a8\u6001\u5b66\u4e60\u7387\u7b97\u6cd5\u5305\u62ec\u968f\u673a\u68af\u5ea6\u4e0b\u964d\uff08SGD\uff09\u3001\u81ea\u9002\u5e94\u68af\u5ea6\u4e0b\u964d\u7b97\u6cd5\uff08AdaGrad\uff09\u3001RMSProp\u7b49\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"2\">\n<li>\u6b63\u5219\u5316<\/li>\n<\/ol>\n\n\n\n<p>\u6b63\u5219\u5316\u53ef\u4ee5\u907f\u514d\u6a21\u578b\u8fc7\u62df\u5408\u3002\u53ef\u4ee5\u4f7f\u7528L1\u6b63\u5219\u5316\u3001L2\u6b63\u5219\u5316\u7b49\u65b9\u5f0f\u6765\u5bf9\u6a21\u578b\u8fdb\u884c\u6b63\u5219\u5316\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"3\">\n<li>\u521d\u59cb\u5316\u53c2\u6570<\/li>\n<\/ol>\n\n\n\n<p>\u521d\u59cb\u5316\u53c2\u6570\u53ef\u4ee5\u5f71\u54cd\u6a21\u578b\u7684\u5b66\u4e60\u6548\u7387\u548c\u6536\u655b\u901f\u5ea6\u3002\u53ef\u4ee5\u4f7f\u7528\u968f\u673a<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u7ee7\u7eed<\/p>\n\n\n\n<p>\u521d\u59cb\u5316\u53c2\u6570\u53ef\u4ee5\u5f71\u54cd\u6a21\u578b\u7684\u5b66\u4e60\u6548\u7387\u548c\u6536\u655b\u901f\u5ea6\u3002\u53ef\u4ee5\u4f7f\u7528\u968f\u673a\u521d\u59cb\u5316\u3001\u9884\u8bad\u7ec3\u6a21\u578b\u7b49\u65b9\u5f0f\u6765\u521d\u59cb\u5316\u6a21\u578b\u53c2\u6570\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"4\">\n<li>\u6279\u91cf\u5f52\u4e00\u5316<\/li>\n<\/ol>\n\n\n\n<p>\u6279\u91cf\u5f52\u4e00\u5316\uff08Batch Normalization\uff09\u53ef\u4ee5\u4f7f\u5f97\u6a21\u578b\u5bf9\u8f93\u5165\u6570\u636e\u7684\u53d8\u5316\u66f4\u52a0\u9c81\u68d2\u3002\u53ef\u4ee5\u4f7f\u7528tf.keras.layers.BatchNormalization()\u6765\u5b9e\u73b0\u6279\u91cf\u5f52\u4e00\u5316\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"5\">\n<li>\u6570\u636e\u589e\u5f3a<\/li>\n<\/ol>\n\n\n\n<p>\u6570\u636e\u589e\u5f3a\u53ef\u4ee5\u589e\u52a0\u6570\u636e\u96c6\u7684\u5927\u5c0f\uff0c\u63d0\u9ad8\u6a21\u578b\u7684\u6cdb\u5316\u80fd\u529b\u3002\u53ef\u4ee5\u4f7f\u7528\u968f\u673a\u65cb\u8f6c\u3001\u5e73\u79fb\u3001\u88c1\u526a\u7b49\u65b9\u5f0f\u6765\u589e\u5f3a\u6570\u636e\u96c6\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"6\">\n<li>\u6a21\u578b\u878d\u5408<\/li>\n<\/ol>\n\n\n\n<p>\u6a21\u578b\u878d\u5408\u53ef\u4ee5\u63d0\u9ad8\u6a21\u578b\u7684\u6027\u80fd\u548c\u6cdb\u5316\u80fd\u529b\u3002\u53ef\u4ee5\u4f7f\u7528\u6295\u7968\u6cd5\u3001\u5806\u53e0\u6cd5\u3001\u8499\u7279\u5361\u6d1b\u65b9\u6cd5\u7b49\u65b9\u5f0f\u6765\u8fdb\u884c\u6a21\u578b\u878d\u5408\u3002<\/p>\n\n\n\n<p>\u603b\u7684\u6765\u8bf4\uff0c\u8bad\u7ec3\u548c\u4f18\u5316\u6a21\u578b\u662f\u673a\u5668\u5b66\u4e60\u548c\u6df1\u5ea6\u5b66\u4e60\u4e2d\u975e\u5e38\u91cd\u8981\u7684\u4e00\u6b65\u3002\u5728\u8bad\u7ec3\u548c\u4f18\u5316\u6a21\u578b\u7684\u8fc7\u7a0b\u4e2d\uff0c\u9700\u8981\u6ce8\u610f\u6570\u636e\u7684\u9884\u5904\u7406\u3001\u6a21\u578b\u7684\u5b9a\u4e49\u548c\u7f16\u8bd1\u3001\u5b66\u4e60\u7387\u7684\u8c03\u6574\u3001\u53c2\u6570\u7684\u521d\u59cb\u5316\u3001\u6279\u91cf\u5f52\u4e00\u5316\u3001\u6570\u636e\u589e\u5f3a\u3001\u6a21\u578b\u878d\u5408\u7b49\u591a\u4e2a\u65b9\u9762\uff0c\u4ee5\u63d0\u9ad8\u6a21\u578b\u7684\u6027\u80fd\u548c\u6cdb\u5316\u80fd\u529b\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91ca\u8bc4\u4f30\u6a21\u578b\u6027\u80fd<\/p>\n\n\n\n<p>\u8bc4\u4f30\u6a21\u578b\u6027\u80fd\u662f\u673a\u5668\u5b66\u4e60\u548c\u6df1\u5ea6\u5b66\u4e60\u4e2d\u975e\u5e38\u91cd\u8981\u7684\u4e00\u6b65\uff0c\u5176\u76ee\u7684\u662f\u5224\u65ad\u6a21\u578b\u7684\u6cdb\u5316\u80fd\u529b\u548c\u9884\u6d4b\u6548\u679c\u662f\u5426\u6ee1\u8db3\u8981\u6c42\uff0c\u4ee5\u4fbf\u5bf9\u6a21\u578b\u8fdb\u884c\u8c03\u6574\u548c\u6539\u8fdb\u3002<\/p>\n\n\n\n<p>\u5e38\u89c1\u7684\u8bc4\u4f30\u6307\u6807\u5305\u62ec\u4ee5\u4e0b\u51e0\u79cd\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u5747\u65b9\u8bef\u5dee\uff08Mean Squared Error\uff0cMSE\uff09<\/li>\n<\/ol>\n\n\n\n<p>\u5747\u65b9\u8bef\u5dee\u662f\u56de\u5f52\u6a21\u578b\u4e2d\u6700\u5e38\u7528\u7684\u8bc4\u4f30\u6307\u6807\u4e4b\u4e00\uff0c\u7528\u4e8e\u8861\u91cf\u9884\u6d4b\u503c\u4e0e\u771f\u5b9e\u503c\u4e4b\u95f4\u7684\u5e73\u5747\u8bef\u5dee\u3002\u5747\u65b9\u8bef\u5dee\u8d8a\u5c0f\uff0c\u8868\u793a\u6a21\u578b\u7684\u9884\u6d4b\u6548\u679c\u8d8a\u597d\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"2\">\n<li>\u5e73\u5747\u7edd\u5bf9\u8bef\u5dee\uff08Mean Absolute Error\uff0cMAE\uff09<\/li>\n<\/ol>\n\n\n\n<p>\u5e73\u5747\u7edd\u5bf9\u8bef\u5dee\u4e5f\u662f\u56de\u5f52\u6a21\u578b\u4e2d\u5e38\u7528\u7684\u8bc4\u4f30\u6307\u6807\u4e4b\u4e00\uff0c\u4e0e\u5747\u65b9\u8bef\u5dee\u7c7b\u4f3c\uff0c\u7528\u4e8e\u8861\u91cf\u9884\u6d4b\u503c\u4e0e\u771f\u5b9e\u503c\u4e4b\u95f4\u7684\u8bef\u5dee\u3002\u4e0e\u5747\u65b9\u8bef\u5dee\u4e0d\u540c\u7684\u662f\uff0c\u5e73\u5747\u7edd\u5bf9\u8bef\u5dee\u4f7f\u7528\u7684\u662f\u8bef\u5dee\u7684\u7edd\u5bf9\u503c\uff0c\u56e0\u6b64\u66f4\u52a0\u7a33\u5065\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"3\">\n<li>\u51c6\u786e\u7387\uff08Accuracy\uff09<\/li>\n<\/ol>\n\n\n\n<p>\u51c6\u786e\u7387\u662f\u5206\u7c7b\u6a21\u578b\u4e2d\u5e38\u7528\u7684\u8bc4\u4f30\u6307\u6807\u4e4b\u4e00\uff0c\u7528\u4e8e\u8861\u91cf\u6a21\u578b\u5206\u7c7b\u7684\u51c6\u786e\u6027\u3002\u51c6\u786e\u7387\u8d8a\u9ad8\uff0c\u8868\u793a\u6a21\u578b\u7684\u5206\u7c7b\u6548\u679c\u8d8a\u597d\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"4\">\n<li>\u7cbe\u786e\u7387\uff08Precision\uff09<\/li>\n<\/ol>\n\n\n\n<p>\u7cbe\u786e\u7387\u662f\u5206\u7c7b\u6a21\u578b\u4e2d\u7528\u4e8e\u8861\u91cf\u6b63\u6837\u672c\u9884\u6d4b\u51c6\u786e\u6027\u7684\u6307\u6807\u3002\u7cbe\u786e\u7387\u8d8a\u9ad8\uff0c\u8868\u793a\u6a21\u578b\u9884\u6d4b\u6b63\u6837\u672c\u7684\u51c6\u786e\u6027\u8d8a\u9ad8\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"5\">\n<li>\u53ec\u56de\u7387\uff08Recall\uff09<\/li>\n<\/ol>\n\n\n\n<p>\u53ec\u56de\u7387\u662f\u5206\u7c7b\u6a21\u578b\u4e2d\u7528\u4e8e\u8861\u91cf\u6b63\u6837\u672c\u9884\u6d4b\u8986\u76d6\u7387\u7684\u6307\u6807\u3002\u53ec\u56de\u7387\u8d8a\u9ad8\uff0c\u8868\u793a\u6a21\u578b\u5bf9\u6b63\u6837\u672c\u7684\u8bc6\u522b\u7387\u8d8a\u9ad8\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"6\">\n<li>F1\u503c\uff08F1-Score\uff09<\/li>\n<\/ol>\n\n\n\n<p>F1\u503c\u662f\u5206\u7c7b\u6a21\u578b\u4e2d\u7528\u4e8e\u7efc\u5408\u8003\u8651\u7cbe\u786e\u7387\u548c\u53ec\u56de\u7387\u7684\u6307\u6807\uff0c\u5e38\u7528\u4e8e\u8bc4\u4f30\u6a21\u578b\u7684\u6574\u4f53\u8868\u73b0\u3002F1\u503c\u8d8a\u9ad8\uff0c\u8868\u793a\u6a21\u578b\u7684\u7efc\u5408\u8868\u73b0\u8d8a\u597d\u3002<\/p>\n\n\n\n<p>\u5728\u8bc4\u4f30\u6a21\u578b\u6027\u80fd\u65f6\uff0c\u8fd8\u9700\u8981\u6ce8\u610f\u4ee5\u4e0b\u51e0\u4e2a\u65b9\u9762\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u6570\u636e\u96c6\u7684\u5212\u5206<\/li>\n<\/ol>\n\n\n\n<p>\u6570\u636e\u96c6\u7684\u5212\u5206\u5bf9\u6a21\u578b\u7684\u8bc4\u4f30\u7ed3\u679c\u5177\u6709\u91cd\u8981\u5f71\u54cd\u3002\u901a\u5e38\u9700\u8981\u5c06\u6570\u636e\u96c6\u5212\u5206\u4e3a\u8bad\u7ec3\u96c6\u548c\u6d4b\u8bd5\u96c6\uff0c\u5e76\u5728\u6d4b\u8bd5\u96c6\u4e0a\u5bf9\u6a21\u578b\u8fdb\u884c\u8bc4\u4f30\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"2\">\n<li>\u4ea4\u53c9\u9a8c\u8bc1<\/li>\n<\/ol>\n\n\n\n<p>\u4ea4\u53c9\u9a8c\u8bc1\u662f\u4e00\u79cd\u5e38\u7528\u7684\u8bc4\u4f30\u65b9\u6cd5\uff0c\u53ef\u4ee5\u907f\u514d\u6570\u636e\u96c6\u5212\u5206\u4e0d\u5747\u8861\u7684\u95ee\u9898\u3002\u901a\u5e38\u4f7f\u7528K\u6298\u4ea4\u53c9\u9a8c\u8bc1\u6765\u5bf9\u6a21\u578b\u8fdb\u884c\u8bc4\u4f30\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"3\">\n<li>\u53ef\u89c6\u5316\u5206\u6790<\/li>\n<\/ol>\n\n\n\n<p>\u53ef\u89c6\u5316\u5206\u6790\u53ef\u4ee5\u66f4\u52a0\u76f4\u89c2\u5730\u5c55\u793a\u6a21\u578b\u7684\u6027\u80fd\u548c\u8868\u73b0\u3002\u53ef\u4ee5\u4f7f\u7528\u6df7\u6dc6\u77e9\u9635\u3001ROC\u66f2\u7ebf\u7b49\u65b9\u5f0f\u6765\u5bf9\u6a21\u578b\u8fdb\u884c\u53ef\u89c6\u5316\u5206\u6790\u3002<\/p>\n\n\n\n<p>\u603b\u7684\u6765\u8bf4\uff0c<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u7ee7\u7eed<\/p>\n\n\n\n<p>\u5728\u8bc4\u4f30\u6a21\u578b\u6027\u80fd\u65f6\uff0c\u9700\u8981\u6839\u636e\u5177\u4f53\u4efb\u52a1\u548c\u6570\u636e\u96c6\u9009\u62e9\u5408\u9002\u7684\u8bc4\u4f30\u6307\u6807\uff0c\u5e76\u7ed3\u5408\u4ea4\u53c9\u9a8c\u8bc1\u3001\u53ef\u89c6\u5316\u5206\u6790\u7b49\u65b9\u6cd5\u6765\u7efc\u5408\u8bc4\u4f30\u6a21\u578b\u7684\u6027\u80fd\u548c\u8868\u73b0\u3002\u6b64\u5916\uff0c\u9700\u8981\u6ce8\u610f\u907f\u514d\u8fc7\u62df\u5408\u548c\u6b20\u62df\u5408\u7b49\u95ee\u9898\uff0c\u4ee5\u63d0\u9ad8\u6a21\u578b\u7684\u6cdb\u5316\u80fd\u529b\u3002<\/p>\n\n\n\n<p>\u5bf9\u4e8e\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\uff0c\u7531\u4e8e\u5176\u53c2\u6570\u91cf\u8f83\u5927\uff0c\u5f80\u5f80\u9700\u8981\u66f4\u52a0\u590d\u6742\u7684\u8bc4\u4f30\u65b9\u6cd5\u548c\u5de5\u5177\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u4f7f\u7528TensorBoard\u6765\u53ef\u89c6\u5316\u6a21\u578b\u7684\u8bad\u7ec3\u548c\u8bc4\u4f30\u8fc7\u7a0b\uff0c\u4f7f\u7528Keras Tuner\u6765\u81ea\u52a8\u641c\u7d22\u6700\u4f18\u7684\u8d85\u53c2\u6570\u7ec4\u5408\uff0c\u4f7f\u7528\u6df1\u5ea6\u53ef\u89e3\u91ca\u6027\u6280\u672f\u6765\u89e3\u91ca\u6a21\u578b\u7684\u51b3\u7b56\u8fc7\u7a0b\u7b49\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91caTensorFlow\u795e\u7ecf\u7f51\u7edc\u4e0e\u6df1\u5ea6\u5b66\u4e60\u795e\u7ecf\u7f51\u7edc\u7b80\u4ecb<\/p>\n\n\n\n<p>TensorFlow\u662f\u4e00\u6b3e\u975e\u5e38\u6d41\u884c\u7684\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\uff0c\u5176\u4e2d\u795e\u7ecf\u7f51\u7edc\u662f\u5176\u4e2d\u91cd\u8981\u7684\u4e00\u79cd\u6a21\u578b\u3002\u795e\u7ecf\u7f51\u7edc\u662f\u7531\u4e00\u7cfb\u5217\u76f8\u4e92\u8fde\u63a5\u7684\u795e\u7ecf\u5143\u6784\u6210\u7684\uff0c\u53ef\u4ee5\u7528\u4e8e\u89e3\u51b3\u5404\u79cd\u673a\u5668\u5b66\u4e60\u548c\u6df1\u5ea6\u5b66\u4e60\u4efb\u52a1\u3002<\/p>\n\n\n\n<p>\u795e\u7ecf\u7f51\u7edc\u53ef\u4ee5\u5206\u4e3a\u591a\u4e2a\u5c42\uff0c\u6bcf\u4e00\u5c42\u90fd\u7531\u591a\u4e2a\u795e\u7ecf\u5143\u7ec4\u6210\u3002\u5728\u795e\u7ecf\u7f51\u7edc\u4e2d\uff0c\u6bcf\u4e2a\u795e\u7ecf\u5143\u63a5\u6536\u8f93\u5165\u4fe1\u53f7\uff0c\u5e76\u901a\u8fc7\u6743\u91cd\u548c\u504f\u7f6e\u8fdb\u884c\u52a0\u6743\u548c\u5904\u7406\uff0c\u518d\u5c06\u7ed3\u679c\u901a\u8fc7\u6fc0\u6d3b\u51fd\u6570\u8fdb\u884c\u975e\u7ebf\u6027\u8f6c\u6362\uff0c\u6700\u7ec8\u8f93\u51fa\u5230\u4e0b\u4e00\u5c42\u795e\u7ecf\u5143\u6216\u8005\u8f93\u51fa\u5c42\u3002\u5e38\u89c1\u7684\u6fc0\u6d3b\u51fd\u6570\u5305\u62ecsigmoid\u3001ReLU\u3001tanh\u7b49\u3002<\/p>\n\n\n\n<p>\u6df1\u5ea6\u5b66\u4e60\u795e\u7ecf\u7f51\u7edc\u662f\u4e00\u79cd\u5177\u6709\u591a\u4e2a\u9690\u85cf\u5c42\u7684\u795e\u7ecf\u7f51\u7edc\uff0c\u5b83\u53ef\u4ee5\u901a\u8fc7\u5b66\u4e60\u66f4\u52a0\u590d\u6742\u7684\u7279\u5f81\u6765\u63d0\u9ad8\u6a21\u578b\u7684\u6027\u80fd\u548c\u6cdb\u5316\u80fd\u529b\u3002\u6df1\u5ea6\u5b66\u4e60\u795e\u7ecf\u7f51\u7edc\u53ef\u4ee5\u5206\u4e3a\u524d\u9988\u795e\u7ecf\u7f51\u7edc\u3001\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u548c\u5faa\u73af\u795e\u7ecf\u7f51\u7edc\u7b49\u591a\u79cd\u7c7b\u578b\u3002<\/p>\n\n\n\n<p>\u524d\u9988\u795e\u7ecf\u7f51\u7edc\uff08Feedforward Neural Network\uff0cFNN\uff09\u662f\u6700\u57fa\u672c\u7684\u795e\u7ecf\u7f51\u7edc\u7c7b\u578b\uff0c\u5b83\u7684\u6bcf\u4e2a\u795e\u7ecf\u5143\u53ea\u4e0e\u524d\u4e00\u5c42\u7684\u795e\u7ecf\u5143\u76f8\u8fde\uff0c\u8f93\u51fa\u4e0d\u4f1a\u56de\u4f20\u5230\u524d\u9762\u7684\u5c42\u3002\u524d\u9988\u795e\u7ecf\u7f51\u7edc\u901a\u5e38\u7528\u4e8e\u89e3\u51b3\u5206\u7c7b\u548c\u56de\u5f52\u95ee\u9898\uff0c\u53ef\u4ee5\u4f7f\u7528\u5168\u8fde\u63a5\u5c42\u3001\u6c60\u5316\u5c42\u548cdropout\u7b49\u65b9\u6cd5\u6765\u63d0\u9ad8\u6a21\u578b\u6027\u80fd\u3002<\/p>\n\n\n\n<p>\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\uff08Convolutional Neural Network\uff0cCNN\uff09\u662f\u4e13\u95e8\u7528\u4e8e\u5904\u7406\u56fe\u50cf\u548c\u89c6\u9891\u7b49\u6570\u636e\u7684\u795e\u7ecf\u7f51\u7edc\u7c7b\u578b\uff0c\u5176\u7279\u70b9\u662f\u5177\u6709\u5377\u79ef\u5c42\u3001\u6c60\u5316\u5c42\u548c\u5168\u8fde\u63a5\u5c42\u7b49\u591a\u79cd\u5c42\u7ea7\u7ed3\u6784\uff0c\u53ef\u4ee5\u81ea\u52a8\u63d0\u53d6\u56fe\u50cf\u548c\u89c6\u9891\u7684\u5c40\u90e8\u7279\u5f81\uff0c\u5e76\u5b9e\u73b0\u9ad8\u6548\u7684\u5206\u7c7b\u548c\u8bc6\u522b\u3002\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u5728\u8ba1\u7b97\u673a\u89c6\u89c9\u3001\u56fe\u50cf\u8bc6\u522b\u3001\u8bed\u97f3\u8bc6\u522b\u7b49\u9886\u57df\u90fd\u53d6\u5f97\u4e86\u5f88\u597d\u7684\u6548\u679c\u3002<\/p>\n\n\n\n<p>\u5faa\u73af\u795e\u7ecf\u7f51\u7edc\uff08Recurrent Neural Network\uff0cRNN\uff09\u662f\u7528\u4e8e\u5904\u7406\u5e8f\u5217\u6570\u636e\u7684\u795e\u7ecf\u7f51\u7edc\u7c7b\u578b\uff0c\u5176\u7279\u70b9\u662f\u5177\u6709\u5faa\u73af\u5c42\uff0c\u53ef\u4ee5\u5b9e\u73b0\u5bf9\u5e8f\u5217\u6570\u636e\u7684\u8bb0\u5fc6\u548c\u5904\u7406\u3002\u5faa\u73af\u795e\u7ecf\u7f51\u7edc\u53ef\u4ee5\u7528\u4e8e\u81ea\u7136\u8bed\u8a00\u5904\u7406\u3001\u8bed\u97f3\u8bc6\u522b\u3001\u65f6\u95f4\u5e8f\u5217\u5206\u6790\u7b49\u9886\u57df\u3002<\/p>\n\n\n\n<p>\u5728TensorFlow\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528tf.keras\u7b49\u9ad8\u7ea7API\u6765\u6784\u5efa\u795e\u7ecf\u7f51\u7edc\u548c\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u3002\u4f7f\u7528TensorFlow\u53ef\u4ee5\u65b9\u4fbf\u5730\u5b9e\u73b0\u6a21\u578b\u7684\u5b9a\u4e49\u3001\u8bad\u7ec3\u548c\u8bc4\u4f30\uff0c\u5e76\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u5de5\u5177\u548c\u529f\u80fd\u6765\u63d0\u9ad8\u6a21\u578b\u7684\u6027\u80fd\u548c\u6cdb\u5316\u80fd\u529b\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91caTensorFlow\u795e\u7ecf\u7f51\u7edc\u4e0e\u6df1\u5ea6\u5b66\u4e60\u6fc0\u6d3b\u51fd\u6570<\/p>\n\n\n\n<p>\u5728TensorFlow\u795e\u7ecf\u7f51\u7edc\u548c\u6df1\u5ea6\u5b66\u4e60\u4e2d\uff0c\u6fc0\u6d3b\u51fd\u6570\u662f\u4e00\u4e2a\u975e\u5e38\u91cd\u8981\u7684\u7ec4\u6210\u90e8\u5206\u3002\u6fc0\u6d3b\u51fd\u6570\u7684\u4f5c\u7528\u662f\u5728\u795e\u7ecf\u7f51\u7edc\u4e2d\u5f15\u5165\u975e\u7ebf\u6027\u53d8\u6362\uff0c\u4ece\u800c\u8ba9\u6a21\u578b\u80fd\u591f\u5b66\u4e60\u66f4\u52a0\u590d\u6742\u7684\u6a21\u5f0f\u548c\u7279\u5f81\u3002\u5e38\u89c1\u7684\u6fc0\u6d3b\u51fd\u6570\u6709sigmoid\u3001ReLU\u3001tanh\u7b49\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Sigmoid\u51fd\u6570<\/li>\n<\/ol>\n\n\n\n<p>Sigmoid\u51fd\u6570\u662f\u4e00\u79cd\u5e38\u7528\u7684\u6fc0\u6d3b\u51fd\u6570\uff0c\u5176\u51fd\u6570\u5f62\u5f0f\u4e3a$f(x) = \\frac{1}{1+e^{-x}}$\u3002Sigmoid\u51fd\u6570\u5c06\u8f93\u5165\u503c\u6620\u5c04\u52300\u52301\u4e4b\u95f4\u7684\u8303\u56f4\u5185\uff0c\u9002\u7528\u4e8e\u5bf9\u8f93\u51fa\u503c\u8fdb\u884c\u4e8c\u5143\u5206\u7c7b\u7684\u573a\u666f\u3002\u4f46\u662f\uff0c\u5728\u795e\u7ecf\u7f51\u7edc\u4e2d\u4f7f\u7528Sigmoid\u51fd\u6570\u65f6\uff0c\u5bb9\u6613\u51fa\u73b0\u68af\u5ea6\u6d88\u5931\u7684\u95ee\u9898\uff0c\u5bfc\u81f4\u6a21\u578b\u65e0\u6cd5\u6b63\u5e38\u66f4\u65b0\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"2\">\n<li>ReLU\u51fd\u6570<\/li>\n<\/ol>\n\n\n\n<p>ReLU\uff08Rectified Linear Unit\uff09\u51fd\u6570\u662f\u4e00\u79cd\u5e38\u7528\u7684\u6fc0\u6d3b\u51fd\u6570\uff0c\u5176\u51fd\u6570\u5f62\u5f0f\u4e3a$f(x)=max(0,x)$\u3002ReLU\u51fd\u6570\u5728\u8f93\u5165\u503c\u4e3a\u6b63\u65f6\uff0c\u8f93\u51fa\u503c\u7b49\u4e8e\u8f93\u5165\u503c\uff1b\u5728\u8f93\u5165\u503c\u4e3a\u8d1f\u65f6\uff0c\u8f93\u51fa\u503c\u4e3a0\u3002ReLU\u51fd\u6570\u5177\u6709\u8ba1\u7b97\u7b80\u5355\u3001\u6536\u655b\u901f\u5ea6\u5feb\u7b49\u4f18\u70b9\uff0c\u5728\u6df1\u5ea6\u5b66\u4e60\u9886\u57df\u5f97\u5230\u4e86\u5e7f\u6cdb\u5e94\u7528\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"3\">\n<li>Tanh\u51fd\u6570<\/li>\n<\/ol>\n\n\n\n<p>Tanh\u51fd\u6570\u662f\u4e00\u79cdSigmoid\u51fd\u6570\u7684\u53d8\u4f53\uff0c\u5176\u51fd\u6570\u5f62\u5f0f\u4e3a$f(x) = \\frac{e^{x}-e^{-x}}{e^{x}+e^{-x}}$\u3002Tanh\u51fd\u6570\u5c06\u8f93\u5165\u503c\u6620\u5c04\u5230-1\u52301\u4e4b\u95f4\u7684\u8303\u56f4\u5185\uff0c\u9002\u7528\u4e8e\u5bf9\u8f93\u51fa\u503c\u8fdb\u884c\u591a\u5143\u5206\u7c7b\u7684\u573a\u666f\u3002\u4f46\u662f\uff0cTanh\u51fd\u6570\u4e5f\u5bb9\u6613\u51fa\u73b0\u68af\u5ea6\u6d88\u5931\u7684\u95ee\u9898\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"4\">\n<li>Softmax\u51fd\u6570<\/li>\n<\/ol>\n\n\n\n<p>Softmax\u51fd\u6570\u662f\u4e00\u79cd\u5e38\u7528\u7684\u6fc0\u6d3b\u51fd\u6570\uff0c\u5176\u51fd\u6570\u5f62\u5f0f\u4e3a$f(x_{i})=\\frac{e^{x_{i}}}{\\sum_{j=1}^{n}{e^{x_{j}}}}$\u3002Softmax\u51fd\u6570\u9002\u7528\u4e8e\u5bf9\u8f93\u51fa\u503c\u8fdb\u884c\u591a\u5143\u5206\u7c7b\u7684\u573a\u666f\uff0c\u5c06\u8f93\u51fa\u503c\u8f6c\u6362\u4e3a\u6982\u7387\u503c\uff0c\u65b9\u4fbf\u5bf9\u4e0d\u540c\u7c7b\u522b\u8fdb\u884c\u6982\u7387\u6bd4\u8f83\u3002<\/p>\n\n\n\n<p>\u9664\u4e86\u4e0a\u8ff0\u5e38\u89c1\u7684\u6fc0\u6d3b\u51fd\u6570\u5916\uff0c\u8fd8\u6709\u8bf8\u5982LeakyReLU\u3001ELU\u3001Swish\u7b49\u5176\u4ed6\u7c7b\u578b\u7684\u6fc0\u6d3b\u51fd\u6570\uff0c\u4e5f\u5728\u6df1\u5ea6\u5b66\u4e60\u4e2d\u5f97\u5230\u4e86\u5e7f\u6cdb\u7684\u5e94\u7528\u3002<\/p>\n\n\n\n<p>\u5728TensorFlow\u4e2d\uff0c\u53ef\u4ee5\u901a\u8fc7tf.nn\u6a21\u5757\u6765\u4f7f\u7528\u5404\u79cd\u6fc0\u6d3b\u51fd\u6570\uff0c\u5e76\u53ef\u4ee5\u5c06\u5176\u4f5c\u4e3a\u7f51\u7edc\u5c42\u7684\u53c2\u6570\u4f20\u5165\u3002\u5728\u6784\u5efa\u795e\u7ecf\u7f51\u7edc\u548c\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u65f6\uff0c\u9009\u62e9\u5408\u9002\u7684\u6fc0\u6d3b\u51fd\u6570\u662f\u975e\u5e38\u91cd\u8981\u7684\uff0c\u53ef\u4ee5\u901a\u8fc7\u5b9e\u9a8c\u548c\u8c03\u53c2\u6765\u786e\u5b9a\u6700\u9002\u5408\u81ea\u5df1\u6570\u636e\u96c6\u548c\u6a21\u578b\u7684\u6fc0\u6d3b\u51fd\u6570\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91caTensorFlow\u795e\u7ecf\u7f51\u7edc\u4e0e\u6df1\u5ea6\u5b66\u4e60\u635f\u5931\u51fd\u6570<\/p>\n\n\n\n<p>\u5728TensorFlow\u795e\u7ecf\u7f51\u7edc\u548c\u6df1\u5ea6\u5b66\u4e60\u4e2d\uff0c\u635f\u5931\u51fd\u6570\uff08Loss Function\uff09\u7528\u4e8e\u8861\u91cf\u6a21\u578b\u9884\u6d4b\u7ed3\u679c\u4e0e\u771f\u5b9e\u7ed3\u679c\u4e4b\u95f4\u7684\u5dee\u8ddd\u3002\u635f\u5931\u51fd\u6570\u7684\u9009\u62e9\u975e\u5e38\u91cd\u8981\uff0c\u4e0d\u540c\u7684\u635f\u5931\u51fd\u6570\u9002\u7528\u4e8e\u4e0d\u540c\u7684\u573a\u666f\uff0c\u53ef\u4ee5\u5f71\u54cd\u6a21\u578b\u7684\u8bad\u7ec3\u901f\u5ea6\u548c\u51c6\u786e\u5ea6\u3002<\/p>\n\n\n\n<p>\u5e38\u89c1\u7684\u635f\u5931\u51fd\u6570\u5305\u62ec\u4ee5\u4e0b\u51e0\u79cd\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u5747\u65b9\u8bef\u5dee\uff08Mean Squared Error\uff0cMSE\uff09<\/li>\n<\/ol>\n\n\n\n<p>\u5747\u65b9\u8bef\u5dee\u662f\u56de\u5f52\u95ee\u9898\u4e2d\u6700\u5e38\u7528\u7684\u635f\u5931\u51fd\u6570\uff0c\u7528\u4e8e\u8861\u91cf\u6a21\u578b\u7684\u9884\u6d4b\u503c\u4e0e\u771f\u5b9e\u503c\u4e4b\u95f4\u7684\u5dee\u8ddd\u3002\u5747\u65b9\u8bef\u5dee\u7684\u8ba1\u7b97\u516c\u5f0f\u4e3a$\\frac{1}{n}\\sum_{i=1}^{n}(y_{i}-\\hat{y_{i}})^{2}$\uff0c\u5176\u4e2d$n$\u4e3a\u6837\u672c\u6570\u91cf\uff0c$y_{i}$\u4e3a\u771f\u5b9e\u503c\uff0c$\\hat{y_{i}}$\u4e3a\u9884\u6d4b\u503c\u3002\u5747\u65b9\u8bef\u5dee\u8d8a\u5c0f\uff0c\u8868\u793a\u6a21\u578b\u7684\u9884\u6d4b\u6548\u679c\u8d8a\u597d\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"2\">\n<li>\u4ea4\u53c9\u71b5\uff08Cross Entropy\uff09<\/li>\n<\/ol>\n\n\n\n<p>\u4ea4\u53c9\u71b5\u662f\u5206\u7c7b\u95ee\u9898\u4e2d\u6700\u5e38\u7528\u7684\u635f\u5931\u51fd\u6570\u4e4b\u4e00\uff0c\u7528\u4e8e\u8861\u91cf\u6a21\u578b\u5bf9\u5206\u7c7b\u95ee\u9898\u7684\u9884\u6d4b\u51c6\u786e\u5ea6\u3002\u5bf9\u4e8e\u4e8c\u5143\u5206\u7c7b\u95ee\u9898\uff0c\u4ea4\u53c9\u71b5\u7684\u8ba1\u7b97\u516c\u5f0f\u4e3a$-\\frac{1}{n}\\sum_{i=1}^{n}(y_{i}log(\\hat{y_{i}})+(1-y_{i})log(1-\\hat{y_{i}}))$\uff0c\u5176\u4e2d$n$\u4e3a\u6837\u672c\u6570\u91cf\uff0c$y_{i}$\u4e3a\u771f\u5b9e\u7c7b\u522b\uff080\u62161\uff09\uff0c$\\hat{y_{i}}$\u4e3a\u9884\u6d4b\u6982\u7387\u3002\u5bf9\u4e8e\u591a\u5143\u5206\u7c7b\u95ee\u9898\uff0c\u4ea4\u53c9\u71b5\u7684\u8ba1\u7b97\u516c\u5f0f\u7a0d\u6709\u4e0d\u540c\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"3\">\n<li>\u5bf9\u6570\u635f\u5931\uff08Log Loss\uff09<\/li>\n<\/ol>\n\n\n\n<p>\u5bf9\u6570\u635f\u5931\u662f\u4e8c\u5143\u5206\u7c7b\u95ee\u9898\u4e2d\u5e38\u7528\u7684\u635f\u5931\u51fd\u6570\uff0c\u4e0e\u4ea4\u53c9\u71b5\u7c7b\u4f3c\uff0c\u4f46\u5bf9\u6570\u635f\u5931\u4f7f\u7528\u7684\u662f\u9884\u6d4b\u503c\u7684\u5bf9\u6570\u6982\u7387\u3002\u5bf9\u6570\u635f\u5931\u7684\u8ba1\u7b97\u516c\u5f0f\u4e3a$-\\frac{1}{n}\\sum_{i=1}^{n}(y_{i}log(\\hat{y_{i}})+(1-y_{i})log(1-\\hat{y_{i}}))$\uff0c\u5176\u4e2d$n$\u4e3a\u6837\u672c\u6570\u91cf\uff0c$y_{i}$\u4e3a\u771f\u5b9e\u7c7b\u522b\uff080\u62161\uff09\uff0c$\\hat{y_{i}}$\u4e3a\u9884\u6d4b\u6982\u7387\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"4\">\n<li>KL\u6563\u5ea6\uff08Kullback-Leibler Divergence\uff09<\/li>\n<\/ol>\n\n\n\n<p>KL\u6563\u5ea6\u662f\u8861\u91cf\u4e24\u4e2a\u5206\u5e03\u4e4b\u95f4\u5dee\u5f02\u7684\u4e00\u79cd\u5ea6\u91cf\u65b9\u6cd5\uff0c\u5e38\u7528\u4e8e\u6a21\u578b\u4f18\u5316\u548c\u8bad\u7ec3\u4e2d\u3002KL\u6563\u5ea6\u7684\u8ba1\u7b97\u516c\u5f0f\u4e3a$D_{KL}(P||Q)=\\sum_{i}p_{i}log(\\frac{p_{i}}{q_{i}})$\uff0c\u5176\u4e2d$P$\u548c$Q$\u4e3a\u4e24\u4e2a\u5206\u5e03\uff0c$p_{i}$\u548c$q_{i}$\u5206\u522b\u4e3a\u4e24\u4e2a\u5206\u5e03\u4e2d\u7b2c$i$\u4e2a\u5143\u7d20\u7684\u6982\u7387\u3002\u5728\u6df1\u5ea6\u5b66\u4e60\u4e2d\uff0cKL\u6563\u5ea6\u901a\u5e38\u7528\u4e8e<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u7ee7\u7eed<\/p>\n\n\n\n<p>\u8861\u91cf\u6a21\u578b\u7684\u751f\u6210\u6837\u672c\u548c\u771f\u5b9e\u6837\u672c\u4e4b\u95f4\u7684\u5dee\u5f02\uff0c\u901a\u5e38\u7528\u4e8e\u751f\u6210\u6a21\u578b\u4e2d\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"5\">\n<li>Hinge Loss<\/li>\n<\/ol>\n\n\n\n<p>Hinge Loss\u662f\u4e00\u79cd\u7528\u4e8e\u5206\u7c7b\u95ee\u9898\u7684\u635f\u5931\u51fd\u6570\uff0c\u4e3b\u8981\u7528\u4e8e\u652f\u6301\u5411\u91cf\u673a\uff08SVM\uff09\u7b49\u6a21\u578b\u4e2d\u3002Hinge Loss\u7684\u8ba1\u7b97\u516c\u5f0f\u4e3a$L=max(0,1-y\\cdot f(x))$\uff0c\u5176\u4e2d$y$\u4e3a\u6837\u672c\u771f\u5b9e\u7c7b\u522b\uff081\u6216-1\uff09\uff0c$f(x)$\u4e3a\u6a21\u578b\u7684\u9884\u6d4b\u503c\u3002\u5982\u679c$y\\cdot f(x)&gt;1$\uff0c\u5219\u635f\u5931\u4e3a0\uff1b\u5426\u5219\u635f\u5931\u4e3a$1-y\\cdot f(x)$\u3002<\/p>\n\n\n\n<p>\u5728TensorFlow\u4e2d\uff0c\u53ef\u4ee5\u901a\u8fc7tf.keras.losses\u6a21\u5757\u6765\u4f7f\u7528\u5404\u79cd\u635f\u5931\u51fd\u6570\uff0c\u5e76\u53ef\u4ee5\u5c06\u5176\u4f5c\u4e3a\u6a21\u578b\u7684\u53c2\u6570\u4f20\u5165\u3002\u5728\u6784\u5efa\u795e\u7ecf\u7f51\u7edc\u548c\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u65f6\uff0c\u9009\u62e9\u5408\u9002\u7684\u635f\u5931\u51fd\u6570\u662f\u975e\u5e38\u91cd\u8981\u7684\uff0c\u53ef\u4ee5\u901a\u8fc7\u5b9e\u9a8c\u548c\u8c03\u53c2\u6765\u786e\u5b9a\u6700\u9002\u5408\u81ea\u5df1\u6570\u636e\u96c6\u548c\u6a21\u578b\u7684\u635f\u5931\u51fd\u6570\u3002\u540c\u65f6\uff0c\u4e5f\u9700\u8981\u6ce8\u610f\u5728\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\uff0c\u901a\u8fc7\u5408\u9002\u7684\u5b66\u4e60\u7387\u548c\u4f18\u5316\u7b97\u6cd5\u6765\u6700\u5c0f\u5316\u635f\u5931\u51fd\u6570\uff0c\u63d0\u9ad8\u6a21\u578b\u7684\u6027\u80fd\u548c\u6cdb\u5316\u80fd\u529b\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91caTensorFlow\u795e\u7ecf\u7f51\u7edc\u4e0e\u6df1\u5ea6\u5b66\u4e60\u4f18\u5316\u5668<\/p>\n\n\n\n<p>\u5728TensorFlow\u795e\u7ecf\u7f51\u7edc\u548c\u6df1\u5ea6\u5b66\u4e60\u4e2d\uff0c\u4f18\u5316\u5668\u662f\u7528\u4e8e\u6700\u5c0f\u5316\u635f\u5931\u51fd\u6570\u7684\u7b97\u6cd5\uff0c\u5b83\u53ef\u4ee5\u5728\u6a21\u578b\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u4e0d\u65ad\u66f4\u65b0\u6a21\u578b\u53c2\u6570\uff0c\u4ee5\u9010\u6b65\u63d0\u9ad8\u6a21\u578b\u7684\u51c6\u786e\u5ea6\u3002\u5e38\u89c1\u7684\u4f18\u5316\u5668\u6709\u4ee5\u4e0b\u51e0\u79cd\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u968f\u673a\u68af\u5ea6\u4e0b\u964d\uff08Stochastic Gradient Descent\uff0cSGD\uff09<\/li>\n<\/ol>\n\n\n\n<p>\u968f\u673a\u68af\u5ea6\u4e0b\u964d\u662f\u6700\u57fa\u7840\u7684\u4f18\u5316\u7b97\u6cd5\u4e4b\u4e00\uff0c\u5728\u6a21\u578b\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u4e0d\u65ad\u8c03\u6574\u6a21\u578b\u53c2\u6570\uff0c\u4ee5\u6700\u5c0f\u5316\u635f\u5931\u51fd\u6570\u3002\u968f\u673a\u68af\u5ea6\u4e0b\u964d\u7b97\u6cd5\u901a\u8fc7\u8ba1\u7b97\u635f\u5931\u51fd\u6570\u5bf9\u6a21\u578b\u53c2\u6570\u7684\u504f\u5bfc\u6570\uff0c\u4ece\u800c\u66f4\u65b0\u6a21\u578b\u53c2\u6570\uff0c\u4f7f\u5f97\u6a21\u578b\u80fd\u591f\u9010\u6b65\u5411\u5168\u5c40\u6700\u4f18\u89e3\u9760\u8fd1\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"2\">\n<li>\u52a8\u91cf\u4f18\u5316\u5668\uff08Momentum\uff09<\/li>\n<\/ol>\n\n\n\n<p>\u52a8\u91cf\u4f18\u5316\u5668\u662f\u5bf9\u968f\u673a\u68af\u5ea6\u4e0b\u964d\u7b97\u6cd5\u7684\u4e00\u79cd\u6539\u8fdb\uff0c\u901a\u8fc7\u5f15\u5165\u52a8\u91cf\u53c2\u6570\uff0c\u53ef\u4ee5\u52a0\u901f\u6a21\u578b\u53c2\u6570\u7684\u66f4\u65b0\u8fc7\u7a0b\u3002\u52a8\u91cf\u53c2\u6570\u53ef\u4ee5\u770b\u4f5c\u662f\u4e00\u4e2a\u8fd0\u52a8\u7269\u4f53\u7684\u901f\u5ea6\uff0c\u5b83\u4e0d\u4ec5\u8003\u8651\u5f53\u524d\u65f6\u523b\u7684\u68af\u5ea6\u4fe1\u606f\uff0c\u8fd8\u8003\u8651\u4e86\u4e4b\u524d\u7684\u68af\u5ea6\u4fe1\u606f\uff0c\u4ece\u800c\u4f7f\u5f97\u6a21\u578b\u5728\u68af\u5ea6\u65b9\u5411\u4e0a\u80fd\u591f\u4fdd\u6301\u4e00\u5b9a\u7684\u52a8\u91cf\uff0c\u5e76\u80fd\u591f\u5feb\u901f\u6536\u655b\u5230\u6700\u4f18\u89e3\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"3\">\n<li>AdaGrad\u4f18\u5316\u5668<\/li>\n<\/ol>\n\n\n\n<p>AdaGrad\u4f18\u5316\u5668\u662f\u5bf9\u968f\u673a\u68af\u5ea6\u4e0b\u964d\u7b97\u6cd5\u7684\u4e00\u79cd\u6539\u8fdb\uff0c\u5b83\u901a\u8fc7\u6839\u636e\u68af\u5ea6\u7684\u5386\u53f2\u4fe1\u606f\u52a8\u6001\u8c03\u6574\u5b66\u4e60\u7387\uff0c\u4ece\u800c\u4f7f\u5f97\u6a21\u578b\u80fd\u591f\u5728\u53c2\u6570\u7a7a\u95f4\u4e2d\u5feb\u901f\u6536\u655b\u5230\u6700\u4f18\u89e3\u3002AdaGrad\u7b97\u6cd5\u4e3b\u8981\u9002\u7528\u4e8e\u7a00\u758f\u6570\u636e\u96c6\u548c\u53c2\u6570\u66f4\u65b0\u4e0d\u5e73\u8861\u7684\u60c5\u51b5\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"4\">\n<li>RMSProp\u4f18\u5316\u5668<\/li>\n<\/ol>\n\n\n\n<p>RMSProp\u4f18\u5316\u5668\u662f\u5bf9AdaGrad\u7b97\u6cd5\u7684\u4e00\u79cd\u6539\u8fdb\uff0c\u5b83\u901a\u8fc7\u4f7f\u7528\u6307\u6570\u52a0\u6743\u79fb\u52a8\u5e73\u5747\u7684\u65b9\u6cd5\uff0c\u5e73\u6ed1\u68af\u5ea6\u7684\u5386\u53f2\u4fe1\u606f\uff0c\u5e76\u6839\u636e\u5e73\u6ed1\u540e\u7684\u5386\u53f2\u4fe1\u606f\u8c03\u6574\u5b66\u4e60\u7387\u3002RMSProp\u7b97\u6cd5\u4e3b\u8981\u9002\u7528\u4e8e\u975e\u7a00\u758f\u6570\u636e\u96c6\u548c\u53c2\u6570\u66f4\u65b0\u4e0d\u5e73\u8861\u7684\u60c5\u51b5\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"5\">\n<li>Adam\u4f18\u5316\u5668<\/li>\n<\/ol>\n\n\n\n<p>Adam\u4f18\u5316\u5668\u662f\u4e00\u79cd\u7ed3\u5408\u4e86\u52a8\u91cf\u4f18\u5316\u5668\u548cRMSProp\u4f18\u5316\u5668\u7684\u4f18\u5316\u7b97\u6cd5\uff0c\u901a\u8fc7\u540c\u65f6\u4f7f\u7528\u52a8\u91cf\u53c2\u6570\u548c\u5386\u53f2\u68af\u5ea6\u4fe1\u606f\uff0c\u4ee5\u53ca\u52a8\u6001\u8c03\u6574\u5b66\u4e60\u7387\uff0c\u4ece\u800c\u4f7f\u5f97\u6a21\u578b\u80fd\u591f\u5728\u53c2\u6570\u7a7a\u95f4\u4e2d\u5feb\u901f\u6536\u655b\u5230\u6700\u4f18\u89e3\u3002<\/p>\n\n\n\n<p>\u5728TensorFlow\u4e2d\uff0c\u53ef\u4ee5\u901a\u8fc7tf.keras.optimizers\u6a21\u5757\u6765\u4f7f\u7528\u5404\u79cd\u4f18\u5316\u5668\uff0c\u5e76\u53ef\u4ee5\u5c06\u5176\u4f5c\u4e3a\u6a21\u578b\u7684\u53c2\u6570\u4f20\u5165\u3002\u5728\u6784\u5efa\u795e\u7ecf\u7f51\u7edc\u548c\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u65f6\uff0c\u9009\u62e9\u5408\u9002\u7684\u4f18\u5316\u5668\u662f\u975e\u5e38\u91cd\u8981\u7684\uff0c\u53ef\u4ee5\u901a\u8fc7\u5b9e\u9a8c\u548c\u8c03\u53c2\u6765\u786e\u5b9a\u6700\u9002\u5408\u81ea\u5df1\u6570\u636e\u96c6\u548c\u6a21\u578b\u7684\u4f18\u5316\u5668\u3002\u540c\u65f6\uff0c\u4e5f\u9700\u8981\u6ce8\u610f\u5728\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\uff0c\u901a\u8fc7\u5408\u9002\u7684\u5b66<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u7ee7\u7eed<\/p>\n\n\n\n<p>\u4e60\u7387\u548c\u4f18\u5316\u5668\u53c2\u6570\u6765\u6700\u5c0f\u5316\u635f\u5931\u51fd\u6570\uff0c\u63d0\u9ad8\u6a21\u578b\u7684\u6027\u80fd\u548c\u6cdb\u5316\u80fd\u529b\u3002\u9664\u4e86\u5e38\u89c1\u7684\u4f18\u5316\u5668\u4e4b\u5916\uff0c\u8fd8\u6709\u4e00\u4e9b\u5176\u4ed6\u7684\u4f18\u5316\u7b97\u6cd5\uff0c\u5982Adagrad\u3001Adadelta\u3001Adamax\u3001Nadam\u7b49\uff0c\u53ef\u4ee5\u6839\u636e\u81ea\u5df1\u7684\u9700\u6c42\u8fdb\u884c\u9009\u62e9\u548c\u5c1d\u8bd5\u3002<\/p>\n\n\n\n<p>\u9700\u8981\u6ce8\u610f\u7684\u662f\uff0c\u4e0d\u540c\u7684\u4f18\u5316\u5668\u9002\u7528\u4e8e\u4e0d\u540c\u7684\u573a\u666f\u548c\u95ee\u9898\uff0c\u9700\u8981\u6839\u636e\u5177\u4f53\u60c5\u51b5\u6765\u8fdb\u884c\u9009\u62e9\u3002\u540c\u65f6\uff0c\u4e5f\u9700\u8981\u6ce8\u610f\u8c03\u6574\u5b66\u4e60\u7387\u548c\u5176\u4ed6\u4f18\u5316\u5668\u53c2\u6570\u7684\u503c\uff0c\u4ee5\u8fbe\u5230\u6700\u4f73\u7684\u8bad\u7ec3\u6548\u679c\u3002\u5728\u8bad\u7ec3\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u65f6\uff0c\u8fd8\u9700\u8981\u6ce8\u610f\u907f\u514d\u8fc7\u62df\u5408\u95ee\u9898\uff0c\u5e76\u91c7\u7528\u4e00\u4e9b\u5e38\u89c1\u7684\u6280\u5de7\uff0c\u5982\u6570\u636e\u589e\u5f3a\u3001dropout\u3001\u6b63\u5219\u5316\u7b49\uff0c\u4ee5\u63d0\u9ad8\u6a21\u578b\u7684\u6cdb\u5316\u80fd\u529b\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91caTensorFlow\u795e\u7ecf\u7f51\u7edc\u4e0e\u6df1\u5ea6\u5b66\u4e60\u6784\u5efa\u795e\u7ecf\u7f51\u7edc\u6a21\u578b<\/p>\n\n\n\n<p>\u5728TensorFlow\u795e\u7ecf\u7f51\u7edc\u548c\u6df1\u5ea6\u5b66\u4e60\u4e2d\uff0c\u6784\u5efa\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u901a\u5e38\u5206\u4e3a\u4ee5\u4e0b\u51e0\u4e2a\u6b65\u9aa4\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u5b9a\u4e49\u6a21\u578b\u7ed3\u6784<\/li>\n<\/ol>\n\n\n\n<p>\u9996\u5148\u9700\u8981\u786e\u5b9a\u795e\u7ecf\u7f51\u7edc\u7684\u7ed3\u6784\uff0c\u5305\u62ec\u8f93\u5165\u5c42\u3001\u9690\u85cf\u5c42\u548c\u8f93\u51fa\u5c42\u3002\u8f93\u5165\u5c42\u901a\u5e38\u5bf9\u5e94\u4e8e\u7279\u5f81\u6570\u636e\uff0c\u9690\u85cf\u5c42\u7528\u4e8e\u63d0\u53d6\u7279\u5f81\u548c\u964d\u7ef4\uff0c\u8f93\u51fa\u5c42\u901a\u5e38\u5bf9\u5e94\u4e8e\u9884\u6d4b\u7ed3\u679c\u6216\u5206\u7c7b\u7ed3\u679c\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"2\">\n<li>\u5b9a\u4e49\u6a21\u578b\u8f93\u5165\u548c\u8f93\u51fa<\/li>\n<\/ol>\n\n\n\n<p>\u5728TensorFlow\u4e2d\uff0c\u53ef\u4ee5\u901a\u8fc7tf.keras.layers\u6a21\u5757\u6765\u5b9a\u4e49\u6a21\u578b\u7684\u8f93\u5165\u548c\u8f93\u51fa\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u4f7f\u7528tf.keras.layers.Input\u5b9a\u4e49\u6a21\u578b\u7684\u8f93\u5165\u5c42\uff0c\u4f7f\u7528tf.keras.layers.Dense\u5b9a\u4e49\u6a21\u578b\u7684\u9690\u85cf\u5c42\u548c\u8f93\u51fa\u5c42\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"3\">\n<li>\u5b9a\u4e49\u6a21\u578b\u53c2\u6570<\/li>\n<\/ol>\n\n\n\n<p>\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u7684\u53c2\u6570\u5305\u62ec\u6743\u91cd\u548c\u504f\u7f6e\u3002\u5728TensorFlow\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528tf.Variable\u5b9a\u4e49\u6a21\u578b\u7684\u53c2\u6570\uff0c\u5e76\u53ef\u4ee5\u8bbe\u7f6e\u521d\u59cb\u503c\u548c\u8bad\u7ec3\u65f6\u662f\u5426\u66f4\u65b0\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"4\">\n<li>\u5b9a\u4e49\u6a21\u578b\u8ba1\u7b97\u56fe<\/li>\n<\/ol>\n\n\n\n<p>\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u7684\u8ba1\u7b97\u56fe\u5305\u62ec\u524d\u5411\u4f20\u64ad\u548c\u53cd\u5411\u4f20\u64ad\u3002\u524d\u5411\u4f20\u64ad\u7528\u4e8e\u8ba1\u7b97\u6a21\u578b\u7684\u8f93\u51fa\u7ed3\u679c\uff0c\u53cd\u5411\u4f20\u64ad\u7528\u4e8e\u8ba1\u7b97\u6a21\u578b\u53c2\u6570\u7684\u68af\u5ea6\u5e76\u8fdb\u884c\u66f4\u65b0\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"5\">\n<li>\u5b9a\u4e49\u635f\u5931\u51fd\u6570\u548c\u4f18\u5316\u5668<\/li>\n<\/ol>\n\n\n\n<p>\u635f\u5931\u51fd\u6570\u7528\u4e8e\u8861\u91cf\u6a21\u578b\u9884\u6d4b\u7ed3\u679c\u548c\u771f\u5b9e\u7ed3\u679c\u4e4b\u95f4\u7684\u5dee\u5f02\uff0c\u4f18\u5316\u5668\u7528\u4e8e\u6700\u5c0f\u5316\u635f\u5931\u51fd\u6570\u5e76\u66f4\u65b0\u6a21\u578b\u53c2\u6570\u3002\u5728TensorFlow\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528tf.keras.losses\u548ctf.keras.optimizers\u6a21\u5757\u6765\u5b9a\u4e49\u635f\u5931\u51fd\u6570\u548c\u4f18\u5316\u5668\uff0c\u5e76\u53ef\u4ee5\u5c06\u5176\u4f5c\u4e3a\u6a21\u578b\u7684\u53c2\u6570\u4f20\u5165\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"6\">\n<li>\u8bad\u7ec3\u6a21\u578b<\/li>\n<\/ol>\n\n\n\n<p>\u901a\u8fc7\u7ed9\u6a21\u578b\u63d0\u4f9b\u8bad\u7ec3\u6570\u636e\uff0c\u5229\u7528\u635f\u5931\u51fd\u6570\u548c\u4f18\u5316\u5668\u8fdb\u884c\u6a21\u578b\u8bad\u7ec3\uff0c\u5e76\u9010\u6e10\u4f18\u5316\u6a21\u578b\u53c2\u6570\u4ee5\u63d0\u9ad8\u6a21\u578b\u6027\u80fd\u548c\u6cdb\u5316\u80fd\u529b\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"7\">\n<li>\u8bc4\u4f30\u6a21\u578b\u6027\u80fd<\/li>\n<\/ol>\n\n\n\n<p>\u901a\u8fc7\u7ed9\u6a21\u578b\u63d0\u4f9b\u6d4b\u8bd5\u6570\u636e\uff0c\u5229\u7528\u8bc4\u4f30\u6307\u6807\u6765\u8bc4\u4f30\u6a21\u578b\u7684\u6027\u80fd\u548c\u6cdb\u5316\u80fd\u529b\u3002\u5e38\u7528\u7684\u8bc4\u4f30\u6307\u6807\u5305\u62ec\u51c6\u786e\u7387\u3001\u7cbe\u5ea6\u3001\u53ec\u56de\u7387\u3001F1-score\u7b49\u3002<\/p>\n\n\n\n<p>\u5728\u6784\u5efa\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u65f6\uff0c\u9700\u8981\u6839\u636e\u5177\u4f53\u60c5\u51b5\u6765\u9009\u62e9\u9002\u5f53\u7684\u7f51\u7edc\u7ed3\u6784\u3001\u635f\u5931\u51fd\u6570\u548c\u4f18\u5316\u5668\uff0c\u5e76\u901a\u8fc7\u5b9e\u9a8c\u548c\u8c03\u53c2\u6765\u786e\u5b9a\u6700\u4f18\u7684\u6a21\u578b\u53c2\u6570\u548c\u8d85\u53c2\u6570\u3002\u540c\u65f6\uff0c\u4e5f\u9700\u8981\u6ce8\u610f\u5728\u8bad\u7ec3\u548c\u8bc4\u4f30\u8fc7\u7a0b\u4e2d\uff0c\u4f7f\u7528\u5408\u9002\u7684\u6280\u5de7\u548c\u65b9\u6cd5\u6765\u907f\u514d\u8fc7\u62df\u5408\u95ee\u9898\u548c\u63d0\u9ad8\u6a21\u578b\u7684\u6cdb\u5316\u80fd\u529b\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91ca\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\uff08CNN\uff09\u4e0eTensorFlow<\/p>\n\n\n\n<p>\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\uff08Convolutional Neural Network\uff0cCNN\uff09\u662f\u4e00\u79cd\u5e38\u7528\u4e8e\u56fe\u50cf\u8bc6\u522b\u548c\u5904\u7406\u7684\u6df1\u5ea6\u5b66\u4e60\u7b97\u6cd5\uff0c\u5b83\u901a\u8fc7\u4f7f\u7528\u5377\u79ef\u5c42\u548c\u6c60\u5316\u5c42\u6765\u63d0\u53d6\u56fe\u50cf\u4e2d\u7684\u7279\u5f81\uff0c\u5e76\u901a\u8fc7\u5168\u8fde\u63a5\u5c42\u5c06\u8fd9\u4e9b\u7279\u5f81\u6620\u5c04\u5230\u5177\u4f53\u7684\u5206\u7c7b\u7ed3\u679c\u3002\u5728TensorFlow\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528tf.keras.layers\u6a21\u5757\u6765\u5b9a\u4e49\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u3002<\/p>\n\n\n\n<p>\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u901a\u5e38\u7531\u591a\u4e2a\u5377\u79ef\u5c42\u548c\u6c60\u5316\u5c42\u4ea4\u66ff\u7ec4\u6210\uff0c\u5176\u4e2d\u5377\u79ef\u5c42\u7528\u4e8e\u63d0\u53d6\u56fe\u50cf\u4e2d\u7684\u5c40\u90e8\u7279\u5f81\uff0c\u6c60\u5316\u5c42\u7528\u4e8e\u5bf9\u7279\u5f81\u8fdb\u884c\u964d\u7ef4\u548c\u5e73\u79fb\u4e0d\u53d8\u6027\u5904\u7406\u3002\u5728TensorFlow\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528tf.keras.layers.Conv2D\u5b9a\u4e49\u5377\u79ef\u5c42\uff0c\u4f7f\u7528tf.keras.layers.MaxPooling2D\u5b9a\u4e49\u6c60\u5316\u5c42\u3002\u4f8b\u5982\uff0c\u4ee5\u4e0b\u4ee3\u7801\u5c55\u793a\u4e86\u4e00\u4e2a\u7b80\u5355\u7684\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>import tensorflow as tf\n\nmodel = tf.keras.Sequential([\n    tf.keras.layers.Conv2D(32, (3, 3), activation='relu', input_shape=(28, 28, 1)),\n    tf.keras.layers.MaxPooling2D((2, 2)),\n    tf.keras.layers.Flatten(),\n    tf.keras.layers.Dense(10, activation='softmax')\n])\n<\/code><\/pre>\n\n\n\n<p>\u4e0a\u8ff0\u6a21\u578b\u5305\u542b\u4e00\u4e2a\u5377\u79ef\u5c42\u3001\u4e00\u4e2a\u6c60\u5316\u5c42\u3001\u4e00\u4e2a\u5c55\u5f00\u5c42\u548c\u4e00\u4e2a\u5168\u8fde\u63a5\u5c42\u3002\u5377\u79ef\u5c42\u4f7f\u752832\u4e2a3&#215;3\u7684\u5377\u79ef\u6838\u5bf9\u8f93\u5165\u56fe\u50cf\u8fdb\u884c\u5377\u79ef\u8fd0\u7b97\uff0c\u5e76\u4f7f\u7528ReLU\u6fc0\u6d3b\u51fd\u6570\u5bf9\u5377\u79ef\u7ed3\u679c\u8fdb\u884c\u975e\u7ebf\u6027\u53d8\u6362\uff1b\u6c60\u5316\u5c42\u4f7f\u75282&#215;2\u7684\u7a97\u53e3\u8fdb\u884c\u6700\u5927\u503c\u6c60\u5316\uff0c\u5bf9\u7279\u5f81\u8fdb\u884c\u964d\u7ef4\uff1b\u5c55\u5f00\u5c42\u5c06\u6c60\u5316\u5c42\u8f93\u51fa\u7684\u7279\u5f81\u5f20\u91cf\u5c55\u5e73\u6210\u4e00\u7ef4\u5411\u91cf\uff1b\u5168\u8fde\u63a5\u5c42\u5c06\u7279\u5f81\u5411\u91cf\u6620\u5c04\u523010\u4e2a\u5206\u7c7b\u7ed3\u679c\uff0c\u5e76\u4f7f\u7528softmax\u6fc0\u6d3b\u51fd\u6570\u8f93\u51fa\u6982\u7387\u5206\u5e03\u3002<\/p>\n\n\n\n<p>\u5728\u6784\u5efa\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u65f6\uff0c\u9700\u8981\u6ce8\u610f\u9009\u62e9\u5408\u9002\u7684\u5377\u79ef\u6838\u5927\u5c0f\u3001\u5377\u79ef\u6838\u6570\u91cf\u3001\u6c60\u5316\u7a97\u53e3\u5927\u5c0f\u3001\u5168\u8fde\u63a5\u5c42\u795e\u7ecf\u5143\u6570\u7b49\u8d85\u53c2\u6570\uff0c\u5e76\u901a\u8fc7\u5b9e\u9a8c\u548c\u8c03\u53c2\u6765\u786e\u5b9a\u6700\u4f18\u7684\u6a21\u578b\u53c2\u6570\u548c\u8d85\u53c2\u6570\u3002\u540c\u65f6\uff0c\u4e5f\u9700\u8981\u6ce8\u610f\u5728\u8bad\u7ec3\u548c\u8bc4\u4f30\u8fc7\u7a0b\u4e2d\uff0c\u4f7f\u7528\u5408\u9002\u7684\u6570\u636e\u589e\u5f3a\u3001dropout\u3001\u6b63\u5219\u5316\u7b49\u6280\u5de7\u6765\u63d0\u9ad8\u6a21\u578b\u7684\u6cdb\u5316\u80fd\u529b\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91ca\u4ec0\u4e48\u662f\u5377\u79ef\u795e\u7ecf\u7f51\u7edc<\/p>\n\n\n\n<p>\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\uff08Convolutional Neural Network\uff0cCNN\uff09\u662f\u4e00\u79cd\u6df1\u5ea6\u5b66\u4e60\u7b97\u6cd5\uff0c\u7279\u522b\u9002\u7528\u4e8e\u56fe\u50cf\u8bc6\u522b\u548c\u56fe\u50cf\u5206\u7c7b\u4efb\u52a1\u3002\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u662f\u7531\u82e5\u5e72\u4e2a\u5377\u79ef\u5c42\u3001\u6c60\u5316\u5c42\u3001\u5168\u8fde\u63a5\u5c42\u548c\u6fc0\u6d3b\u51fd\u6570\u7b49\u7ec4\u6210\u7684\u795e\u7ecf\u7f51\u7edc\u7ed3\u6784\uff0c\u5176\u4e2d\u5377\u79ef\u5c42\u548c\u6c60\u5316\u5c42\u662f\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u7684\u6838\u5fc3\u90e8\u5206\uff0c\u7528\u4e8e\u63d0\u53d6\u56fe\u50cf\u7684\u7279\u5f81\u3002<\/p>\n\n\n\n<p>\u5377\u79ef\u5c42\u662f\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u4e2d\u6700\u91cd\u8981\u7684\u7ec4\u6210\u90e8\u5206\u4e4b\u4e00\uff0c\u5b83\u901a\u8fc7\u5c06\u8f93\u5165\u56fe\u50cf\u4e0e\u4e00\u7ec4\u53ef\u5b66\u4e60\u7684\u5377\u79ef\u6838\u8fdb\u884c\u5377\u79ef\u8fd0\u7b97\uff0c\u4ece\u800c\u63d0\u53d6\u56fe\u50cf\u4e2d\u7684\u5c40\u90e8\u7279\u5f81\u3002\u5377\u79ef\u5c42\u4e2d\u7684\u6bcf\u4e2a\u5377\u79ef\u6838\u53ef\u4ee5\u770b\u4f5c\u662f\u4e00\u4e2a\u6ee4\u6ce2\u5668\uff0c\u7528\u4e8e\u68c0\u6d4b\u8f93\u5165\u56fe\u50cf\u4e2d\u7684\u67d0\u79cd\u7279\u5b9a\u7684\u6a21\u5f0f\u6216\u5f62\u72b6\u3002\u5377\u79ef\u5c42\u7684\u8f93\u51fa\u7ed3\u679c\u901a\u5e38\u79f0\u4e3a\u7279\u5f81\u56fe\uff0c\u5176\u4e2d\u6bcf\u4e2a\u7279\u5f81\u56fe\u5bf9\u5e94\u4e8e\u8f93\u5165\u56fe\u50cf\u4e2d\u7684\u4e00\u79cd\u5c40\u90e8\u7279\u5f81\u3002<\/p>\n\n\n\n<p>\u6c60\u5316\u5c42\u7528\u4e8e\u5bf9\u7279\u5f81\u56fe\u8fdb\u884c\u4e0b\u91c7\u6837\uff0c\u4ece\u800c\u51cf\u5c0f\u7279\u5f81\u56fe\u7684\u7ef4\u5ea6\u548c\u53c2\u6570\u6570\u91cf\uff0c\u5e76\u589e\u5f3a\u6a21\u578b\u7684\u6cdb\u5316\u80fd\u529b\u3002\u5e38\u89c1\u7684\u6c60\u5316\u64cd\u4f5c\u5305\u62ec\u6700\u5927\u6c60\u5316\u548c\u5e73\u5747\u6c60\u5316\uff0c\u5b83\u4eec\u53ef\u4ee5\u901a\u8fc7\u6ed1\u52a8\u4e00\u4e2a\u56fa\u5b9a\u5927\u5c0f\u7684\u7a97\u53e3\u5bf9\u7279\u5f81\u56fe\u8fdb\u884c\u91c7\u6837\uff0c\u5e76\u53d6\u7a97\u53e3\u5185\u7684\u6700\u5927\u503c\u6216\u5e73\u5747\u503c\u4f5c\u4e3a\u91c7\u6837\u7ed3\u679c\u3002<\/p>\n\n\n\n<p>\u9664\u4e86\u5377\u79ef\u5c42\u548c\u6c60\u5316\u5c42\u4e4b\u5916\uff0c\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u4e2d\u8fd8\u5305\u542b\u5168\u8fde\u63a5\u5c42\u548c\u6fc0\u6d3b\u51fd\u6570\u7b49\u7ec4\u6210\u90e8\u5206\u3002\u5168\u8fde\u63a5\u5c42\u7528\u4e8e\u5c06\u7279\u5f81\u56fe\u6620\u5c04\u5230\u5177\u4f53\u7684\u5206\u7c7b\u7ed3\u679c\uff0c\u6fc0\u6d3b\u51fd\u6570\u7528\u4e8e\u5bf9\u7279\u5f81\u8fdb\u884c\u975e\u7ebf\u6027\u53d8\u6362\uff0c\u589e\u5f3a\u6a21\u578b\u7684\u62df\u5408\u80fd\u529b\u3002<\/p>\n\n\n\n<p>\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u7684\u8bad\u7ec3\u8fc7\u7a0b\u901a\u5e38\u91c7\u7528\u53cd\u5411\u4f20\u64ad\u7b97\u6cd5\uff0c\u901a\u8fc7\u6700\u5c0f\u5316\u635f\u5931\u51fd\u6570\u6765\u4f18\u5316\u6a21\u578b\u53c2\u6570\u3002\u5e38\u89c1\u7684\u635f\u5931\u51fd\u6570\u5305\u62ec\u4ea4\u53c9\u71b5\u3001\u5747\u65b9\u8bef\u5dee\u7b49\u3002\u5728\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\uff0c\u9700\u8981\u4f7f\u7528\u8bad\u7ec3\u6570\u636e\u96c6\u548c\u9a8c\u8bc1\u6570\u636e\u96c6\u5bf9\u6a21\u578b\u8fdb\u884c\u8bad\u7ec3\u548c\u8bc4\u4f30\uff0c\u5e76\u91c7\u7528\u4e00\u4e9b\u5e38\u89c1\u7684\u6280\u5de7\u548c\u65b9\u6cd5\u6765\u907f\u514d\u8fc7\u62df\u5408\u95ee\u9898\uff0c\u5982\u6570\u636e\u589e\u5f3a\u3001dropout\u3001\u6b63\u5219\u5316\u7b49\u3002<\/p>\n\n\n\n<p>\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u5177\u6709\u5c40\u90e8\u611f\u77e5\u6027\u3001\u53c2\u6570\u5171\u4eab\u3001\u5e73\u79fb\u4e0d\u53d8\u6027\u7b49\u7279\u70b9\uff0c\u53ef\u4ee5\u6709\u6548\u5730\u5904\u7406\u56fe\u50cf\u7b49\u6570\u636e\uff0c\u5e76\u5728\u56fe\u50cf\u8bc6\u522b\u3001\u76ee\u6807\u68c0\u6d4b\u3001\u8bed\u97f3\u8bc6\u522b\u7b49\u9886\u57df\u53d6\u5f97\u4e86\u5f88\u597d\u7684\u8868\u73b0\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91caCNN\u7684\u57fa\u672c\u7ec4\u4ef6<\/p>\n\n\n\n<p>\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\uff08Convolutional Neural Network\uff0cCNN\uff09\u662f\u7531\u82e5\u5e72\u4e2a\u5377\u79ef\u5c42\u3001\u6c60\u5316\u5c42\u3001\u5168\u8fde\u63a5\u5c42\u548c\u6fc0\u6d3b\u51fd\u6570\u7b49\u7ec4\u6210\u7684\u795e\u7ecf\u7f51\u7edc\u7ed3\u6784\uff0c\u5176\u4e2d\u5377\u79ef\u5c42\u548c\u6c60\u5316\u5c42\u662f\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u7684\u6838\u5fc3\u90e8\u5206\uff0c\u7528\u4e8e\u63d0\u53d6\u56fe\u50cf\u7684\u7279\u5f81\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u5377\u79ef\u5c42<\/li>\n<\/ol>\n\n\n\n<p>\u5377\u79ef\u5c42\u662f\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u4e2d\u6700\u91cd\u8981\u7684\u7ec4\u6210\u90e8\u5206\u4e4b\u4e00\uff0c\u5b83\u901a\u8fc7\u5c06\u8f93\u5165\u56fe\u50cf\u4e0e\u4e00\u7ec4\u53ef\u5b66\u4e60\u7684\u5377\u79ef\u6838\u8fdb\u884c\u5377\u79ef\u8fd0\u7b97\uff0c\u4ece\u800c\u63d0\u53d6\u56fe\u50cf\u4e2d\u7684\u5c40\u90e8\u7279\u5f81\u3002\u5377\u79ef\u5c42\u4e2d\u7684\u6bcf\u4e2a\u5377\u79ef\u6838\u53ef\u4ee5\u770b\u4f5c\u662f\u4e00\u4e2a\u6ee4\u6ce2\u5668\uff0c\u7528\u4e8e\u68c0\u6d4b\u8f93\u5165\u56fe\u50cf\u4e2d\u7684\u67d0\u79cd\u7279\u5b9a\u7684\u6a21\u5f0f\u6216\u5f62\u72b6\u3002\u5377\u79ef\u5c42\u7684\u8f93\u51fa\u7ed3\u679c\u901a\u5e38\u79f0\u4e3a\u7279\u5f81\u56fe\uff0c\u5176\u4e2d\u6bcf\u4e2a\u7279\u5f81\u56fe\u5bf9\u5e94\u4e8e\u8f93\u5165\u56fe\u50cf\u4e2d\u7684\u4e00\u79cd\u5c40\u90e8\u7279\u5f81\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"2\">\n<li>\u6c60\u5316\u5c42<\/li>\n<\/ol>\n\n\n\n<p>\u6c60\u5316\u5c42\u7528\u4e8e\u5bf9\u7279\u5f81\u56fe\u8fdb\u884c\u4e0b\u91c7\u6837\uff0c\u4ece\u800c\u51cf\u5c0f\u7279\u5f81\u56fe\u7684\u7ef4\u5ea6\u548c\u53c2\u6570\u6570\u91cf\uff0c\u5e76\u589e\u5f3a\u6a21\u578b\u7684\u6cdb\u5316\u80fd\u529b\u3002\u5e38\u89c1\u7684\u6c60\u5316\u64cd\u4f5c\u5305\u62ec\u6700\u5927\u6c60\u5316\u548c\u5e73\u5747\u6c60\u5316\uff0c\u5b83\u4eec\u53ef\u4ee5\u901a\u8fc7\u6ed1\u52a8\u4e00\u4e2a\u56fa\u5b9a\u5927\u5c0f\u7684\u7a97\u53e3\u5bf9\u7279\u5f81\u56fe\u8fdb\u884c\u91c7\u6837\uff0c\u5e76\u53d6\u7a97\u53e3\u5185\u7684\u6700\u5927\u503c\u6216\u5e73\u5747\u503c\u4f5c\u4e3a\u91c7\u6837\u7ed3\u679c\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"3\">\n<li>\u5168\u8fde\u63a5\u5c42<\/li>\n<\/ol>\n\n\n\n<p>\u5168\u8fde\u63a5\u5c42\u7528\u4e8e\u5c06\u7279\u5f81\u56fe\u6620\u5c04\u5230\u5177\u4f53\u7684\u5206\u7c7b\u7ed3\u679c\uff0c\u901a\u5e38\u5728\u7f51\u7edc\u7684\u672b\u7aef\u52a0\u4e0a\u5168\u8fde\u63a5\u5c42\u6765\u8fdb\u884c\u5206\u7c7b\u6216\u56de\u5f52\u3002\u5168\u8fde\u63a5\u5c42\u7684\u795e\u7ecf\u5143\u6570\u91cf\u548c\u8f93\u51fa\u5c42\u7684\u7c7b\u522b\u6570\u91cf\u76f8\u7b49\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"4\">\n<li>\u6fc0\u6d3b\u51fd\u6570<\/li>\n<\/ol>\n\n\n\n<p>\u6fc0\u6d3b\u51fd\u6570\u7528\u4e8e\u5bf9\u7279\u5f81\u8fdb\u884c\u975e\u7ebf\u6027\u53d8\u6362\uff0c\u589e\u5f3a\u6a21\u578b\u7684\u62df\u5408\u80fd\u529b\u3002\u5e38\u89c1\u7684\u6fc0\u6d3b\u51fd\u6570\u5305\u62ecReLU\u3001Sigmoid\u3001Tanh\u7b49\u3002\u5728\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u4e2d\uff0c\u4e00\u822c\u4f7f\u7528ReLU\u6fc0\u6d3b\u51fd\u6570\uff0c\u56e0\u4e3a\u5b83\u80fd\u591f\u6709\u6548\u5730\u7f13\u89e3\u68af\u5ea6\u6d88\u5931\u95ee\u9898\uff0c\u5e76\u63d0\u9ad8\u6a21\u578b\u7684\u8bad\u7ec3\u901f\u5ea6\u548c\u7a33\u5b9a\u6027\u3002<\/p>\n\n\n\n<p>\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u7684\u8bad\u7ec3\u8fc7\u7a0b\u901a\u5e38\u91c7\u7528\u53cd\u5411\u4f20\u64ad\u7b97\u6cd5\uff0c\u901a\u8fc7\u6700\u5c0f\u5316\u635f\u5931\u51fd\u6570\u6765\u4f18\u5316\u6a21\u578b\u53c2\u6570\u3002\u5e38\u89c1\u7684\u635f\u5931\u51fd\u6570\u5305\u62ec\u4ea4\u53c9\u71b5\u3001\u5747\u65b9\u8bef\u5dee\u7b49\u3002\u5728\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\uff0c\u9700\u8981\u4f7f\u7528\u8bad\u7ec3\u6570\u636e\u96c6\u548c\u9a8c\u8bc1\u6570\u636e\u96c6\u5bf9\u6a21\u578b\u8fdb\u884c\u8bad\u7ec3\u548c\u8bc4\u4f30\uff0c\u5e76\u91c7\u7528\u4e00\u4e9b\u5e38\u89c1\u7684\u6280\u5de7\u548c\u65b9\u6cd5\u6765\u907f\u514d\u8fc7\u62df\u5408\u95ee\u9898\uff0c\u5982\u6570\u636e\u589e\u5f3a\u3001dropout\u3001\u6b63\u5219\u5316\u7b49\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91ca\u4f7f\u7528TensorFlow\u5b9e\u73b0CNN<\/p>\n\n\n\n<p>\u4f7f\u7528TensorFlow\u5b9e\u73b0CNN\u9700\u8981\u5b8c\u6210\u4ee5\u4e0b\u6b65\u9aa4\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u5bfc\u5165\u5fc5\u8981\u7684\u5e93\u548c\u6a21\u5757<\/li>\n<\/ol>\n\n\n\n<p>\u9996\u5148\uff0c\u9700\u8981\u5bfc\u5165TensorFlow\u3001numpy\u7b49\u5fc5\u8981\u7684\u5e93\u548c\u6a21\u5757\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u5bfc\u5165TensorFlow\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>import tensorflow as tf\n<\/code><\/pre>\n\n\n\n<ol class=\"wp-block-list\" start=\"2\">\n<li>\u51c6\u5907\u6570\u636e\u96c6<\/li>\n<\/ol>\n\n\n\n<p>\u5728\u8bad\u7ec3CNN\u6a21\u578b\u4e4b\u524d\uff0c\u9700\u8981\u51c6\u5907\u76f8\u5e94\u7684\u6570\u636e\u96c6\uff0c\u4e00\u822c\u4f7f\u7528\u56fe\u7247\u6570\u636e\u96c6\u8fdb\u884c\u8bad\u7ec3\u548c\u6d4b\u8bd5\u3002\u53ef\u4ee5\u4f7f\u7528TensorFlow\u63d0\u4f9b\u7684tf.data.Dataset\u6a21\u5757\u52a0\u8f7d\u6570\u636e\u96c6\uff0c\u6216\u8005\u4f7f\u7528\u7b2c\u4e09\u65b9\u5e93\uff08\u5982PIL\u3001OpenCV\u7b49\uff09\u8bfb\u53d6\u56fe\u7247\u6570\u636e\u3002\u901a\u5e38\u9700\u8981\u5bf9\u8f93\u5165\u6570\u636e\u8fdb\u884c\u5f52\u4e00\u5316\u3001\u7f29\u653e\u7b49\u9884\u5904\u7406\u64cd\u4f5c\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"3\">\n<li>\u5b9a\u4e49\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u6a21\u578b<\/li>\n<\/ol>\n\n\n\n<p>\u53ef\u4ee5\u4f7f\u7528TensorFlow\u7684Keras API\u5b9a\u4e49\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u3002\u4f8b\u5982\uff0c\u4ee5\u4e0b\u4ee3\u7801\u5c55\u793a\u4e86\u4e00\u4e2a\u7b80\u5355\u7684\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>model = tf.keras.Sequential([\n    tf.keras.layers.Conv2D(32, (3, 3), activation='relu', input_shape=(28, 28, 1)),\n    tf.keras.layers.MaxPooling2D((2, 2)),\n    tf.keras.layers.Flatten(),\n    tf.keras.layers.Dense(10, activation='softmax')\n])\n<\/code><\/pre>\n\n\n\n<p>\u4e0a\u8ff0\u6a21\u578b\u5305\u542b\u4e00\u4e2a\u5377\u79ef\u5c42\u3001\u4e00\u4e2a\u6c60\u5316\u5c42\u3001\u4e00\u4e2a\u5c55\u5f00\u5c42\u548c\u4e00\u4e2a\u5168\u8fde\u63a5\u5c42\u3002\u5377\u79ef\u5c42\u4f7f\u752832\u4e2a3&#215;3\u7684\u5377\u79ef\u6838\u5bf9\u8f93\u5165\u56fe\u50cf\u8fdb\u884c\u5377\u79ef\u8fd0\u7b97\uff0c\u5e76\u4f7f\u7528ReLU\u6fc0\u6d3b\u51fd\u6570\u5bf9\u5377\u79ef\u7ed3\u679c\u8fdb\u884c\u975e\u7ebf\u6027\u53d8\u6362\uff1b\u6c60\u5316\u5c42\u4f7f\u75282&#215;2\u7684\u7a97\u53e3\u8fdb\u884c\u6700\u5927\u503c\u6c60\u5316\uff0c\u5bf9\u7279\u5f81\u8fdb\u884c\u964d\u7ef4\uff1b\u5c55\u5f00\u5c42\u5c06\u6c60\u5316\u5c42\u8f93\u51fa\u7684\u7279\u5f81\u5f20\u91cf\u5c55\u5e73\u6210\u4e00\u7ef4\u5411\u91cf\uff1b\u5168\u8fde\u63a5\u5c42\u5c06\u7279\u5f81\u5411\u91cf\u6620\u5c04\u523010\u4e2a\u5206\u7c7b\u7ed3\u679c\uff0c\u5e76\u4f7f\u7528softmax\u6fc0\u6d3b\u51fd\u6570\u8f93\u51fa\u6982\u7387\u5206\u5e03\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"4\">\n<li>\u7f16\u8bd1\u6a21\u578b<\/li>\n<\/ol>\n\n\n\n<p>\u5728\u5b9a\u4e49\u597d\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u540e\uff0c\u9700\u8981\u4f7f\u7528compile()\u51fd\u6570\u5bf9\u6a21\u578b\u8fdb\u884c\u7f16\u8bd1\uff0c\u8bbe\u7f6e\u4f18\u5316\u5668\u3001\u635f\u5931\u51fd\u6570\u548c\u8bc4\u4f30\u6307\u6807\u3002\u4f8b\u5982\uff0c\u4ee5\u4e0b\u4ee3\u7801\u8bbe\u7f6e\u4e86\u6a21\u578b\u7684\u4f18\u5316\u5668\u4e3aAdam\uff0c\u635f\u5931\u51fd\u6570\u4e3a\u4ea4\u53c9\u71b5\uff0c\u8bc4\u4f30\u6307\u6807\u4e3a\u51c6\u786e\u7387\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>model.compile(optimizer='adam',\n              loss='sparse_categorical_crossentropy',\n              metrics=['accuracy'])\n<\/code><\/pre>\n\n\n\n<ol class=\"wp-block-list\" start=\"5\">\n<li>\u8bad\u7ec3\u6a21\u578b<\/li>\n<\/ol>\n\n\n\n<p>\u4f7f\u7528fit()\u51fd\u6570\u8bad\u7ec3\u6a21\u578b\uff0c\u6307\u5b9a\u8bad\u7ec3\u6570\u636e\u96c6\u3001\u6279\u6b21\u5927\u5c0f\u3001\u8bad\u7ec3\u8f6e\u6570\u7b49\u53c2\u6570\u3002\u4f8b\u5982\uff0c\u4ee5\u4e0b\u4ee3\u7801\u8bad\u7ec3\u6a21\u578b\uff0c\u4f7f\u7528MNIST\u6570\u636e\u96c6\uff0c\u6bcf\u6b21\u8bad\u7ec3\u8f93\u516532\u4e2a\u6837\u672c\uff0c\u8bad\u7ec310\u8f6e\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>history = model.fit(train_dataset, epochs=10, batch_size=32,\n                    validation_data=val_dataset, verbose=1)\n<\/code><\/pre>\n\n\n\n<ol class=\"wp-block-list\" start=\"6\">\n<li>\u8bc4\u4f30\u6a21\u578b<\/li>\n<\/ol>\n\n\n\n<p>\u4f7f\u7528evaluate()\u51fd\u6570\u8bc4\u4f30\u6a21\u578b\u6027\u80fd\uff0c\u6307\u5b9a\u6d4b\u8bd5\u6570\u636e\u96c6\u548c\u8bc4\u4f30\u6307\u6807\u3002\u4f8b\u5982\uff0c\u4ee5\u4e0b\u4ee3\u7801\u8bc4\u4f30\u6a21\u578b\u5728\u6d4b\u8bd5\u6570\u636e\u96c6\u4e0a\u7684\u51c6\u786e\u7387\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>test_loss, test_acc = model\n<\/code><\/pre>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u7ee7\u7eed<\/p>\n\n\n\n<p>test_dataset.evaluate(verbose=2)<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>\n7. \u4f7f\u7528\u6a21\u578b\u8fdb\u884c\u9884\u6d4b\n\n\u4f7f\u7528predict()\u51fd\u6570\u4f7f\u7528\u8bad\u7ec3\u597d\u7684\u6a21\u578b\u5bf9\u65b0\u6837\u672c\u8fdb\u884c\u5206\u7c7b\u9884\u6d4b\u3002\u4f8b\u5982\uff0c\u4ee5\u4e0b\u4ee3\u7801\u4f7f\u7528\u8bad\u7ec3\u597d\u7684\u6a21\u578b\u5bf9\u4e00\u5f20\u56fe\u7247\u8fdb\u884c\u9884\u6d4b\uff1a\n\n```python\nimport numpy as np\nfrom PIL import Image\n\nimg = Image.open('test_image.jpg').convert('L')  # \u8bfb\u53d6\u56fe\u7247\u5e76\u8f6c\u6362\u4e3a\u7070\u5ea6\u56fe\nimg = img.resize((28, 28))  # \u7f29\u653e\u56fe\u7247\u5c3a\u5bf8\u4e3a28x28\nimg_arr = np.array(img) \/ 255.0  # \u8f6c\u6362\u4e3anumpy\u6570\u7ec4\u5e76\u8fdb\u884c\u5f52\u4e00\u5316\u5904\u7406\nimg_arr = np.expand_dims(img_arr, axis=0)  # \u589e\u52a0\u4e00\u7ef4\uff0c\u8868\u793a\u6837\u672c\u6570\u91cf\u4e3a1\nimg_arr = np.expand_dims(img_arr, axis=-1)  # \u589e\u52a0\u4e00\u7ef4\uff0c\u8868\u793a\u901a\u9053\u6570\u4e3a1\n\npred = model.predict(img_arr)  # \u4f7f\u7528\u6a21\u578b\u8fdb\u884c\u9884\u6d4b\nlabel = np.argmax(pred)  # \u53d6\u6700\u5927\u6982\u7387\u5bf9\u5e94\u7684\u6807\u7b7e\nprint(label)\n<\/code><\/pre>\n\n\n\n<p>\u4ee5\u4e0a\u5c31\u662f\u4f7f\u7528TensorFlow\u5b9e\u73b0CNN\u7684\u57fa\u672c\u6b65\u9aa4\uff0c\u5f53\u7136\uff0c\u5b9e\u9645\u5e94\u7528\u4e2d\u8fd8\u9700\u8981\u8fdb\u884c\u8d85\u53c2\u6570\u8c03\u6574\u3001\u6570\u636e\u589e\u5f3a\u3001\u6a21\u578b\u53ef\u89c6\u5316\u7b49\u64cd\u4f5c\u6765\u8fdb\u4e00\u6b65\u63d0\u5347\u6a21\u578b\u6027\u80fd\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91caCNN\u5b9e\u4f8b\uff1a\u56fe\u50cf\u5206\u7c7b\u4efb\u52a1<\/p>\n\n\n\n<p>\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u5728\u56fe\u50cf\u5206\u7c7b\u4efb\u52a1\u4e2d\u5f97\u5230\u4e86\u5e7f\u6cdb\u7684\u5e94\u7528\u3002\u4e0b\u9762\u6211\u4eec\u4ee5MNIST\u624b\u5199\u6570\u5b57\u56fe\u50cf\u5206\u7c7b\u4efb\u52a1\u4e3a\u4f8b\uff0c\u8be6\u7ec6\u89e3\u91caCNN\u5728\u56fe\u50cf\u5206\u7c7b\u4efb\u52a1\u4e2d\u7684\u5e94\u7528\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u6570\u636e\u96c6\u51c6\u5907<\/li>\n<\/ol>\n\n\n\n<p>MNIST\u6570\u636e\u96c6\u5305\u542b60000\u5f20\u8bad\u7ec3\u56fe\u50cf\u548c10000\u5f20\u6d4b\u8bd5\u56fe\u50cf\uff0c\u6bcf\u5f20\u56fe\u50cf\u5927\u5c0f\u4e3a28&#215;28\uff0c\u6807\u7b7e\u4e3a0-9\u4e4b\u95f4\u7684\u6570\u5b57\u3002\u53ef\u4ee5\u4f7f\u7528TensorFlow\u63d0\u4f9b\u7684tf.keras.datasets\u6a21\u5757\u52a0\u8f7dMNIST\u6570\u636e\u96c6\uff0c\u6216\u8005\u4f7f\u7528\u7b2c\u4e09\u65b9\u5e93\uff08\u5982keras\u3001torchvision\u7b49\uff09\u52a0\u8f7d\u6570\u636e\u96c6\u3002<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>import tensorflow as tf\nfrom tensorflow import keras\n\n(x_train, y_train), (x_test, y_test) = keras.datasets.mnist.load_data()\n<\/code><\/pre>\n\n\n\n<ol class=\"wp-block-list\" start=\"2\">\n<li>\u6570\u636e\u96c6\u9884\u5904\u7406<\/li>\n<\/ol>\n\n\n\n<p>\u9700\u8981\u5bf9\u8f93\u5165\u6570\u636e\u8fdb\u884c\u5f52\u4e00\u5316\u3001\u7f29\u653e\u7b49\u9884\u5904\u7406\u64cd\u4f5c\u3002\u4f8b\u5982\uff0c\u5c06\u50cf\u7d20\u503c\u5f52\u4e00\u5316\u5230[0,1]\u8303\u56f4\u5185\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>x_train = x_train \/ 255.0\nx_test = x_test \/ 255.0\n<\/code><\/pre>\n\n\n\n<ol class=\"wp-block-list\" start=\"3\">\n<li>\u5b9a\u4e49\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u6a21\u578b<\/li>\n<\/ol>\n\n\n\n<p>\u53ef\u4ee5\u4f7f\u7528TensorFlow\u7684Keras API\u5b9a\u4e49\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684CNN\u6a21\u578b\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>model = keras.Sequential([\n    keras.layers.Conv2D(32, (3, 3), activation='relu', input_shape=(28, 28, 1)),\n    keras.layers.MaxPooling2D((2, 2)),\n    keras.layers.Flatten(),\n    keras.layers.Dense(10, activation='softmax')\n])\n<\/code><\/pre>\n\n\n\n<p>\u4e0a\u8ff0\u6a21\u578b\u5305\u542b\u4e00\u4e2a\u5377\u79ef\u5c42\u3001\u4e00\u4e2a\u6c60\u5316\u5c42\u3001\u4e00\u4e2a\u5c55\u5f00\u5c42\u548c\u4e00\u4e2a\u5168\u8fde\u63a5\u5c42\u3002\u5377\u79ef\u5c42\u4f7f\u752832\u4e2a3&#215;3\u7684\u5377\u79ef\u6838\u5bf9\u8f93\u5165\u56fe\u50cf\u8fdb\u884c\u5377\u79ef\u8fd0\u7b97\uff0c\u5e76\u4f7f\u7528ReLU\u6fc0\u6d3b\u51fd\u6570\u5bf9\u5377\u79ef\u7ed3\u679c\u8fdb\u884c\u975e\u7ebf\u6027\u53d8\u6362\uff1b\u6c60\u5316\u5c42\u4f7f\u75282&#215;2\u7684\u7a97\u53e3\u8fdb\u884c\u6700\u5927\u503c\u6c60\u5316\uff0c\u5bf9\u7279\u5f81\u8fdb\u884c\u964d\u7ef4\uff1b\u5c55\u5f00\u5c42\u5c06\u6c60\u5316\u5c42\u8f93\u51fa\u7684\u7279\u5f81\u5f20\u91cf\u5c55\u5e73\u6210\u4e00\u7ef4\u5411\u91cf\uff1b\u5168\u8fde\u63a5\u5c42\u5c06\u7279\u5f81\u5411\u91cf\u6620\u5c04\u523010\u4e2a\u5206\u7c7b\u7ed3\u679c\uff0c\u5e76\u4f7f\u7528softmax\u6fc0\u6d3b\u51fd\u6570\u8f93\u51fa\u6982\u7387\u5206\u5e03\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"4\">\n<li>\u7f16\u8bd1\u6a21\u578b<\/li>\n<\/ol>\n\n\n\n<p>\u5728\u5b9a\u4e49\u597d\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u540e\uff0c\u9700\u8981\u4f7f\u7528compile()\u51fd\u6570\u5bf9\u6a21\u578b\u8fdb\u884c\u7f16\u8bd1\uff0c\u8bbe\u7f6e\u4f18\u5316\u5668\u3001\u635f\u5931\u51fd\u6570\u548c\u8bc4\u4f30\u6307\u6807\u3002<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>model.compile(optimizer='adam',\n              loss='sparse_categorical_crossentropy',\n              metrics=['accuracy'])\n<\/code><\/pre>\n\n\n\n<ol class=\"wp-block-list\" start=\"5\">\n<li>\u8bad\u7ec3\u6a21\u578b<\/li>\n<\/ol>\n\n\n\n<p>\u4f7f\u7528fit()\u51fd\u6570\u8bad\u7ec3\u6a21\u578b\uff0c\u6307\u5b9a\u8bad\u7ec3\u6570\u636e\u96c6\u3001\u6279\u6b21\u5927\u5c0f\u3001\u8bad\u7ec3\u8f6e\u6570\u7b49\u53c2\u6570\u3002<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>model.fit(x_train, y_train, epochs=5, batch_size=32, validation_data=(x_test, y_test))\n<\/code><\/pre>\n\n\n\n<ol class=\"wp-block-list\" start=\"6\">\n<li>\u8bc4\u4f30\u6a21\u578b<\/li>\n<\/ol>\n\n\n\n<p>\u4f7f\u7528evaluate()\u51fd\u6570\u8bc4\u4f30\u6a21\u578b\u6027\u80fd\uff0c\u6307\u5b9a\u6d4b\u8bd5\u6570\u636e\u96c6\u548c\u8bc4\u4f30\u6307\u6807\u3002<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>test_loss, test_acc = model.evaluate(x_test, y_test)\nprint('Test accuracy:', test_acc)\n<\/code><\/pre>\n\n\n\n<ol class=\"wp-block-list\" start=\"7\">\n<li>\u4f7f\u7528\u6a21\u578b\u8fdb\u884c\u9884<\/li>\n<\/ol>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u7ee7\u7eed<\/p>\n\n\n\n<p>\u6d4b<\/p>\n\n\n\n<p>\u4f7f\u7528predict()\u51fd\u6570\u4f7f\u7528\u8bad\u7ec3\u597d\u7684\u6a21\u578b\u5bf9\u65b0\u6837\u672c\u8fdb\u884c\u5206\u7c7b\u9884\u6d4b\u3002\u4f8b\u5982\uff0c\u4ee5\u4e0b\u4ee3\u7801\u4f7f\u7528\u8bad\u7ec3\u597d\u7684\u6a21\u578b\u5bf9\u6d4b\u8bd5\u6570\u636e\u96c6\u4e2d\u7684\u4e00\u5f20\u56fe\u7247\u8fdb\u884c\u9884\u6d4b\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>import numpy as np\nimport matplotlib.pyplot as plt\n\n# \u9009\u62e9\u6d4b\u8bd5\u96c6\u4e2d\u7684\u4e00\u5f20\u56fe\u7247\u8fdb\u884c\u9884\u6d4b\nidx = 100\nimg = x_test[idx]\nlabel = y_test[idx]\n\n# \u6269\u5c55\u4e00\u7ef4\uff0c\u8868\u793a\u6837\u672c\u6570\u91cf\u4e3a1\nimg = np.expand_dims(img, axis=0)\n\n# \u4f7f\u7528\u6a21\u578b\u8fdb\u884c\u9884\u6d4b\npred = model.predict(img)\npred_label = np.argmax(pred)\n\n# \u663e\u793a\u56fe\u7247\u548c\u9884\u6d4b\u7ed3\u679c\nplt.imshow(x_test[idx], cmap='gray')\nplt.title('True label: {} \\nPredicted label: {}'.format(label, pred_label))\nplt.show()\n<\/code><\/pre>\n\n\n\n<p>\u4ee5\u4e0a\u5c31\u662fCNN\u5728\u56fe\u50cf\u5206\u7c7b\u4efb\u52a1\u4e2d\u7684\u5e94\u7528\u3002\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u8fd8\u53ef\u4ee5\u8fdb\u884c\u6570\u636e\u589e\u5f3a\u3001\u6a21\u578b\u5fae\u8c03\u7b49\u64cd\u4f5c\u6765\u8fdb\u4e00\u6b65\u63d0\u5347\u6a21\u578b\u6027\u80fd\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91ca\u5faa\u73af\u795e\u7ecf\u7f51\u7edc\uff08RNN\uff09\u4e0eTensorFlow<\/p>\n\n\n\n<p>\u5faa\u73af\u795e\u7ecf\u7f51\u7edc\uff08Recurrent Neural Network\uff0cRNN\uff09\u662f\u4e00\u79cd\u5e38\u89c1\u7684\u795e\u7ecf\u7f51\u7edc\u7ed3\u6784\uff0c\u53ef\u4ee5\u7528\u4e8e\u5904\u7406\u5e8f\u5217\u6570\u636e\u3002\u4e0e\u524d\u9988\u795e\u7ecf\u7f51\u7edc\u4e0d\u540c\uff0cRNN\u53ef\u4ee5\u901a\u8fc7\u53cd\u9988\u5faa\u73af\u5c06\u7f51\u7edc\u4e2d\u7684\u4fe1\u606f\u4f20\u9012\u5230\u540e\u7eed\u65f6\u95f4\u6b65\uff0c\u4ece\u800c\u5141\u8bb8\u7f51\u7edc\u8bb0\u5fc6\u4e4b\u524d\u7684\u8f93\u5165\u4fe1\u606f\u3002<\/p>\n\n\n\n<p>TensorFlow\u63d0\u4f9b\u4e86\u4e00\u4e9bAPI\u548c\u6a21\u5757\uff0c\u7528\u4e8e\u65b9\u4fbf\u5730\u6784\u5efa\u3001\u8bad\u7ec3\u548c\u8bc4\u4f30RNN\u6a21\u578b\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>TensorFlow\u4e2d\u7684RNN\u6a21\u5757<\/li>\n<\/ol>\n\n\n\n<p>TensorFlow\u63d0\u4f9b\u4e86\u591a\u79cdRNN\u6a21\u5757\uff0c\u5305\u62ec\uff1a<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>tf.keras.layers.SimpleRNN<\/li>\n\n\n\n<li>tf.keras.layers.LSTM<\/li>\n\n\n\n<li>tf.keras.layers.GRU<\/li>\n<\/ul>\n\n\n\n<p>\u8fd9\u4e9b\u6a21\u5757\u53ef\u4ee5\u8f7b\u677e\u5730\u6784\u5efaRNN\u6a21\u578b\uff0c\u5e76\u652f\u6301\u591a\u79cdRNN\u53d8\u4f53\u3002\u4f8b\u5982\uff0c\u4ee5\u4e0b\u4ee3\u7801\u6784\u5efa\u4e86\u4e00\u4e2a\u5177\u67091\u4e2aLSTM\u5c42\u7684\u7b80\u5355RNN\u6a21\u578b\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>model = tf.keras.Sequential([\n    tf.keras.layers.LSTM(64, input_shape=(None, 128)),\n    tf.keras.layers.Dense(10, activation='softmax')\n])\n<\/code><\/pre>\n\n\n\n<ol class=\"wp-block-list\" start=\"2\">\n<li>\u8bad\u7ec3RNN\u6a21\u578b<\/li>\n<\/ol>\n\n\n\n<p>\u4e0e\u8bad\u7ec3\u524d\u9988\u795e\u7ecf\u7f51\u7edc\u7c7b\u4f3c\uff0c\u8bad\u7ec3RNN\u6a21\u578b\u9700\u8981\u5b9a\u4e49\u635f\u5931\u51fd\u6570\u3001\u4f18\u5316\u5668\u548c\u8bc4\u4f30\u6307\u6807\uff0c\u4ee5\u53ca\u8bad\u7ec3\u6570\u636e\u96c6\u548c\u8bad\u7ec3\u8f6e\u6570\u7b49\u8d85\u53c2\u6570\u3002\u4f8b\u5982\uff0c\u4ee5\u4e0b\u4ee3\u7801\u5b9a\u4e49\u4e86\u4e00\u4e2a\u7b80\u5355\u7684\u635f\u5931\u51fd\u6570\u548c\u4f18\u5316\u5668\uff0c\u5e76\u4f7f\u7528fit()\u51fd\u6570\u8bad\u7ec3RNN\u6a21\u578b\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>model.compile(loss='categorical_crossentropy', optimizer='adam', metrics=['accuracy'])\nmodel.fit(train_dataset, epochs=10, validation_data=val_dataset)\n<\/code><\/pre>\n\n\n\n<p>\u5176\u4e2d\uff0ctrain_dataset\u548cval_dataset\u662f\u4f7f\u7528tf.data.Dataset\u6a21\u5757\u521b\u5efa\u7684\u8bad\u7ec3\u548c\u9a8c\u8bc1\u6570\u636e\u96c6\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"3\">\n<li>\u4f7f\u7528RNN\u6a21\u578b\u8fdb\u884c\u9884\u6d4b<\/li>\n<\/ol>\n\n\n\n<p>\u4f7f\u7528RNN\u6a21\u578b\u8fdb\u884c\u9884\u6d4b\u9700\u8981\u4f7f\u7528predict()\u51fd\u6570\uff0c\u5e76\u5c06\u8f93\u5165\u6570\u636e\u683c\u5f0f\u5316\u4e3a\u5408\u9002\u7684\u5f62\u5f0f\u3002\u4f8b\u5982\uff0c\u4ee5\u4e0b\u4ee3\u7801\u4f7f\u7528\u8bad\u7ec3\u597d\u7684RNN\u6a21\u578b\u5bf9\u4e00\u6bb5\u6587\u672c\u8fdb\u884c\u60c5\u611f\u5206\u7c7b\u9884\u6d4b\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>text = \"This movie is terrible. I hate it.\"\ntokens = tokenizer.texts_to_sequences([text])\ntokens_padded = tf.keras.preprocessing.sequence.pad_sequences(tokens, maxlen=max_len, padding='post')\npred = model.predict(tokens_padded)[0]\nlabel = np.argmax(pred)\n<\/code><\/pre>\n\n\n\n<p>\u5176\u4e2d\uff0ctokenizer\u662f\u4f7f\u7528tf.keras.preprocessing.text\u6a21\u5757\u521b\u5efa\u7684\u6587\u672c\u5206\u8bcd\u5668\uff0cmax_len\u662f\u9884\u5148\u5b9a\u4e49\u7684\u6700\u5927\u5e8f\u5217\u957f\u5ea6\u3002<\/p>\n\n\n\n<p>\u4ee5\u4e0a\u5c31\u662f\u4f7f\u7528TensorFlow\u6784\u5efa\u3001\u8bad\u7ec3\u548c\u8bc4\u4f30RNN\u6a21\u578b\u7684\u57fa\u672c\u65b9\u6cd5\u3002\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u8fd8\u53ef\u4ee5\u4f7f\u7528\u4e00\u4e9b\u9ad8\u7ea7\u529f\u80fd\uff0c\u5982RNN\u53d8\u4f53\u3001\u53cc\u5411RNN\u3001\u6ce8\u610f\u529b\u673a\u5236\u7b49\u6765\u8fdb\u4e00\u6b65\u63d0\u5347\u6a21\u578b\u6027\u80fd\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91ca\u4ec0\u4e48\u662f\u5faa\u73af\u795e\u7ecf\u7f51\u7edc<\/p>\n\n\n\n<p>\u5faa\u73af\u795e\u7ecf\u7f51\u7edc\uff08Recurrent Neural Network\uff0cRNN\uff09\u662f\u4e00\u79cd\u5e38\u89c1\u7684\u795e\u7ecf\u7f51\u7edc\u7ed3\u6784\uff0c\u7528\u4e8e\u5904\u7406\u5e8f\u5217\u6570\u636e\u3002\u4e0e\u524d\u9988\u795e\u7ecf\u7f51\u7edc\u4e0d\u540c\uff0cRNN\u53ef\u4ee5\u901a\u8fc7\u53cd\u9988\u5faa\u73af\u5c06\u7f51\u7edc\u4e2d\u7684\u4fe1\u606f\u4f20\u9012\u5230\u540e\u7eed\u65f6\u95f4\u6b65\uff0c\u4ece\u800c\u5141\u8bb8\u7f51\u7edc\u8bb0\u5fc6\u4e4b\u524d\u7684\u8f93\u5165\u4fe1\u606f\u3002<\/p>\n\n\n\n<p>\u5728\u4f20\u7edf\u7684\u524d\u9988\u795e\u7ecf\u7f51\u7edc\u4e2d\uff0c\u6bcf\u4e2a\u8f93\u5165\u90fd\u4f1a\u88ab\u72ec\u7acb\u5730\u5904\u7406\uff0c\u8f93\u51fa\u4e5f\u4e0d\u4f1a\u5bf9\u4e4b\u524d\u7684\u8f93\u5165\u4ea7\u751f\u5f71\u54cd\u3002\u7136\u800c\uff0c\u5728\u5904\u7406\u5e8f\u5217\u6570\u636e\u65f6\uff0c\u4e4b\u524d\u7684\u8f93\u5165\u901a\u5e38\u5bf9\u540e\u7eed\u7684\u8f93\u51fa\u5177\u6709\u91cd\u8981\u7684\u5f71\u54cd\uff0c\u8fd9\u65f6\u5019\u5c31\u9700\u8981\u4e00\u79cd\u80fd\u591f\u8bb0\u5fc6\u5148\u524d\u4fe1\u606f\u7684\u7f51\u7edc\u7ed3\u6784\u3002<\/p>\n\n\n\n<p>\u5728RNN\u4e2d\uff0c\u6bcf\u4e2a\u65f6\u95f4\u6b65\u7684\u8f93\u5165\u4e0d\u4ec5\u4f9d\u8d56\u4e8e\u5f53\u524d\u65f6\u523b\u7684\u8f93\u5165\uff0c\u8fd8\u4f9d\u8d56\u4e8e\u524d\u4e00\u4e2a\u65f6\u95f4\u6b65\u7684\u8f93\u51fa\u3002\u5177\u4f53\u6765\u8bf4\uff0cRNN\u4f1a\u5c06\u5f53\u524d\u65f6\u523b\u7684\u8f93\u5165\u548c\u524d\u4e00\u4e2a\u65f6\u95f4\u6b65\u7684\u8f93\u51fa\u4f5c\u4e3a\u8f93\u5165\uff0c\u7136\u540e\u901a\u8fc7\u4e00\u4e2a\u9012\u5f52\u51fd\u6570\uff08\u6216\u79f0\u4e3a\u5faa\u73af\u5355\u5143\uff09\u8ba1\u7b97\u5f53\u524d\u65f6\u523b\u7684\u8f93\u51fa\u548c\u72b6\u6001\uff0c\u5e76\u5c06\u72b6\u6001\u4f20\u9012\u5230\u4e0b\u4e00\u4e2a\u65f6\u95f4\u6b65\u3002\u8fd9\u6837\uff0cRNN\u5c31\u53ef\u4ee5\u5229\u7528\u5148\u524d\u7684\u8f93\u5165\u4fe1\u606f\uff0c\u5e76\u901a\u8fc7\u53cd\u9988\u5faa\u73af\u7684\u65b9\u5f0f\u5b9e\u73b0\u5bf9\u5e8f\u5217\u7684\u5efa\u6a21\u3002<\/p>\n\n\n\n<p>RNN\u5728\u81ea\u7136\u8bed\u8a00\u5904\u7406\u3001\u8bed\u97f3\u8bc6\u522b\u3001\u65f6\u95f4\u5e8f\u5217\u9884\u6d4b\u7b49\u9886\u57df\u5f97\u5230\u4e86\u5e7f\u6cdb\u7684\u5e94\u7528\u3002\u7136\u800c\uff0c\u4f20\u7edf\u7684RNN\u5b58\u5728\u68af\u5ea6\u6d88\u5931\u548c\u68af\u5ea6\u7206\u70b8\u7b49\u95ee\u9898\uff0c\u9650\u5236\u4e86\u5176\u5728\u957f\u5e8f\u5217\u6570\u636e\u4e0a\u7684\u8868\u73b0\u3002\u4e3a\u4e86\u89e3\u51b3\u8fd9\u4e9b\u95ee\u9898\uff0c\u51fa\u73b0\u4e86\u4e00\u4e9b\u6539\u8fdb\u7684RNN\u53d8\u4f53\uff0c\u5982\u957f\u77ed\u65f6\u8bb0\u5fc6\u7f51\u7edc\uff08LSTM\uff09\u548c\u95e8\u63a7\u5faa\u73af\u5355\u5143\uff08GRU\uff09\u3002\u8fd9\u4e9b\u53d8\u4f53\u4f7f\u7528\u4e0d\u540c\u7684\u95e8\u63a7\u673a\u5236\u6765\u63a7\u5236\u4fe1\u606f\u7684\u6d41\u52a8\uff0c\u4ece\u800c\u5728\u957f\u5e8f\u5217\u6570\u636e\u4e0a\u53d6\u5f97\u4e86\u8f83\u597d\u7684\u8868\u73b0\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91caRNN\u7684\u57fa\u672c\u7ec4\u4ef6<\/p>\n\n\n\n<p>\u5faa\u73af\u795e\u7ecf\u7f51\u7edc\uff08Recurrent Neural Network\uff0cRNN\uff09\u7531\u4ee5\u4e0b\u4e09\u4e2a\u57fa\u672c\u7ec4\u4ef6\u7ec4\u6210\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u5faa\u73af\u5355\u5143\uff08Recurrent Unit\uff09<\/li>\n<\/ol>\n\n\n\n<p>\u5faa\u73af\u5355\u5143\u662fRNN\u7684\u6838\u5fc3\u7ec4\u4ef6\uff0c\u7528\u4e8e\u5904\u7406\u5e8f\u5217\u6570\u636e\u3002\u5faa\u73af\u5355\u5143\u5728\u6bcf\u4e2a\u65f6\u95f4\u6b65\u63a5\u6536\u5f53\u524d\u65f6\u523b\u7684\u8f93\u5165\u548c\u524d\u4e00\u4e2a\u65f6\u95f4\u6b65\u7684\u8f93\u51fa\uff0c\u7136\u540e\u901a\u8fc7\u4e00\u4e2a\u9012\u5f52\u51fd\u6570\u8ba1\u7b97\u5f53\u524d\u65f6\u523b\u7684\u8f93\u51fa\u548c\u72b6\u6001\uff0c\u5e76\u5c06\u72b6\u6001\u4f20\u9012\u5230\u4e0b\u4e00\u4e2a\u65f6\u95f4\u6b65\u3002<\/p>\n\n\n\n<p>\u5e38\u89c1\u7684\u5faa\u73af\u5355\u5143\u6709\u7b80\u5355RNN\u3001\u957f\u77ed\u65f6\u8bb0\u5fc6\u7f51\u7edc\uff08LSTM\uff09\u548c\u95e8\u63a7\u5faa\u73af\u5355\u5143\uff08GRU\uff09\u7b49\u3002\u8fd9\u4e9b\u5faa\u73af\u5355\u5143\u7684\u8ba1\u7b97\u65b9\u5f0f\u4e0d\u540c\uff0c\u4f46\u90fd\u5177\u6709\u9012\u5f52\u548c\u72b6\u6001\u4f20\u9012\u7684\u7279\u70b9\uff0c\u53ef\u4ee5\u7528\u6765\u5904\u7406\u4e0d\u540c\u7c7b\u578b\u7684\u5e8f\u5217\u6570\u636e\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"2\">\n<li>\u8f93\u5165\u5c42\uff08Input Layer\uff09<\/li>\n<\/ol>\n\n\n\n<p>\u8f93\u5165\u5c42\u7528\u4e8e\u63a5\u6536\u5e8f\u5217\u6570\u636e\u7684\u8f93\u5165\uff0c\u5e76\u5c06\u8f93\u5165\u6570\u636e\u683c\u5f0f\u5316\u4e3a\u9002\u5408\u5faa\u73af\u5355\u5143\u5904\u7406\u7684\u5f62\u5f0f\u3002\u8f93\u5165\u5c42\u901a\u5e38\u5305\u62ec\u5d4c\u5165\u5c42\uff08Embedding Layer\uff09\u3001\u5e8f\u5217\u586b\u5145\u5c42\uff08Sequence Padding Layer\uff09\u7b49\u3002<\/p>\n\n\n\n<p>\u5d4c\u5165\u5c42\u7528\u4e8e\u5c06\u79bb\u6563\u7684\u8bcd\u6c47\u8f6c\u6362\u4e3a\u8fde\u7eed\u7684\u5411\u91cf\u8868\u793a\uff0c\u4ece\u800c\u65b9\u4fbf\u795e\u7ecf\u7f51\u7edc\u5904\u7406\u6587\u672c\u7b49\u5e8f\u5217\u6570\u636e\u3002\u5e8f\u5217\u586b\u5145\u5c42\u5219\u7528\u4e8e\u5c06\u4e0d\u540c\u957f\u5ea6\u7684\u5e8f\u5217\u6570\u636e\u586b\u5145\u5230\u76f8\u540c\u7684\u957f\u5ea6\uff0c\u4ee5\u4fbf\u4e8e\u795e\u7ecf\u7f51\u7edc\u8fdb\u884c\u6279\u91cf\u8ba1\u7b97\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"3\">\n<li>\u8f93\u51fa\u5c42\uff08Output Layer\uff09<\/li>\n<\/ol>\n\n\n\n<p>\u8f93\u51fa\u5c42\u7528\u4e8e\u5c06\u5faa\u73af\u5355\u5143\u7684\u8f93\u51fa\u8f6c\u6362\u4e3a\u6a21\u578b\u7684\u9884\u6d4b\u7ed3\u679c\u3002\u8f93\u51fa\u5c42\u7684\u5f62\u5f0f\u53ef\u4ee5\u6839\u636e\u4e0d\u540c\u7684\u4efb\u52a1\u548c\u6570\u636e\u7c7b\u578b\u8fdb\u884c\u8c03\u6574\u3002\u4f8b\u5982\uff0c\u5bf9\u4e8e\u5206\u7c7b\u4efb\u52a1\uff0c\u53ef\u4ee5\u4f7f\u7528\u5168\u8fde\u63a5\u5c42\u548csoftmax\u6fc0\u6d3b\u51fd\u6570\u5c06\u5faa\u73af\u5355\u5143\u7684\u8f93\u51fa\u6620\u5c04\u5230\u7c7b\u522b\u6982\u7387\u3002\u5bf9\u4e8e\u56de\u5f52\u4efb\u52a1\uff0c\u53ef\u4ee5\u4f7f\u7528\u7ebf\u6027\u5c42\u5c06\u5faa\u73af\u5355\u5143\u7684\u8f93\u51fa\u6620\u5c04\u5230\u8fde\u7eed\u503c\u3002<\/p>\n\n\n\n<p>\u9664\u4e86\u4e0a\u8ff0\u4e09\u4e2a\u57fa\u672c\u7ec4\u4ef6\u5916\uff0cRNN\u6a21\u578b\u8fd8\u53ef\u4ee5\u5305\u62ec\u4e00\u4e9b\u5176\u4ed6\u7ec4\u4ef6\uff0c\u5982\u5d4c\u5165\u5c42\u3001Dropout\u5c42\u7b49\u3002\u8fd9\u4e9b\u7ec4\u4ef6\u53ef\u4ee5\u63d0\u9ad8\u6a21\u578b\u7684\u6027\u80fd\u548c\u9c81\u68d2\u6027\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91ca\u4f7f\u7528TensorFlow\u5b9e\u73b0RNN<\/p>\n\n\n\n<p>\u4f7f\u7528TensorFlow\u5b9e\u73b0RNN\u6a21\u578b\u53ef\u4ee5\u5206\u4e3a\u4ee5\u4e0b\u51e0\u4e2a\u6b65\u9aa4\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u6570\u636e\u9884\u5904\u7406<\/li>\n<\/ol>\n\n\n\n<p>\u9996\u5148\u9700\u8981\u5bf9\u5e8f\u5217\u6570\u636e\u8fdb\u884c\u9884\u5904\u7406\uff0c\u5305\u62ec\u5c06\u6587\u672c\u6570\u636e\u8f6c\u6362\u4e3a\u6570\u5b57\u8868\u793a\u3001\u5bf9\u5e8f\u5217\u8fdb\u884c\u586b\u5145\u7b49\u3002\u53ef\u4ee5\u4f7f\u7528TensorFlow\u63d0\u4f9b\u7684\u5de5\u5177\u6216\u8005\u81ea\u5df1\u7f16\u5199\u4ee3\u7801\u5b9e\u73b0\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"2\">\n<li>\u6784\u5efaRNN\u6a21\u578b<\/li>\n<\/ol>\n\n\n\n<p>\u6784\u5efaRNN\u6a21\u578b\u7684\u8fc7\u7a0b\u7c7b\u4f3c\u4e8e\u6784\u5efa\u524d\u9988\u795e\u7ecf\u7f51\u7edc\u3002\u9700\u8981\u5b9a\u4e49RNN\u7684\u7ed3\u6784\u3001\u5c42\u6570\u3001\u795e\u7ecf\u5143\u4e2a\u6570\u7b49\u8d85\u53c2\u6570\uff0c\u9009\u62e9\u635f\u5931\u51fd\u6570\u3001\u4f18\u5316\u5668\u548c\u8bc4\u4f30\u6307\u6807\uff0c\u4ee5\u53ca\u786e\u5b9a\u8f93\u5165\u548c\u8f93\u51fa\u5f62\u72b6\u7b49\u3002<\/p>\n\n\n\n<p>\u5728TensorFlow\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528tf.keras.layers\u4e2d\u7684SimpleRNN\u3001LSTM\u3001GRU\u7b49\u6a21\u5757\u6765\u6784\u5efaRNN\u6a21\u578b\u3002\u4f8b\u5982\uff0c\u4ee5\u4e0b\u4ee3\u7801\u5b9a\u4e49\u4e86\u4e00\u4e2a\u5305\u542b1\u4e2aLSTM\u5c42\u7684RNN\u6a21\u578b\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>model = tf.keras.Sequential([\n    tf.keras.layers.LSTM(64, input_shape=(None, 128)),\n    tf.keras.layers.Dense(10, activation='softmax')\n])\n<\/code><\/pre>\n\n\n\n<ol class=\"wp-block-list\" start=\"3\">\n<li>\u7f16\u8bd1\u6a21\u578b<\/li>\n<\/ol>\n\n\n\n<p>\u5728\u6784\u5efa\u597dRNN\u6a21\u578b\u4e4b\u540e\uff0c\u9700\u8981\u4f7f\u7528compile()\u51fd\u6570\u6765\u7f16\u8bd1\u6a21\u578b\uff0c\u6307\u5b9a\u635f\u5931\u51fd\u6570\u3001\u4f18\u5316\u5668\u548c\u8bc4\u4f30\u6307\u6807\u7b49\u3002\u4f8b\u5982\uff0c\u4ee5\u4e0b\u4ee3\u7801\u6307\u5b9a\u4e86\u4ea4\u53c9\u71b5\u635f\u5931\u51fd\u6570\u3001Adam\u4f18\u5316\u5668\u548c\u51c6\u786e\u7387\u8bc4\u4f30\u6307\u6807\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>model.compile(loss='categorical_crossentropy', optimizer='adam', metrics=['accuracy'])\n<\/code><\/pre>\n\n\n\n<ol class=\"wp-block-list\" start=\"4\">\n<li>\u8bad\u7ec3\u6a21\u578b<\/li>\n<\/ol>\n\n\n\n<p>\u5728\u7f16\u8bd1\u597d\u6a21\u578b\u4e4b\u540e\uff0c\u5c31\u53ef\u4ee5\u4f7f\u7528fit()\u51fd\u6570\u6765\u8bad\u7ec3\u6a21\u578b\u4e86\u3002\u9700\u8981\u6307\u5b9a\u8bad\u7ec3\u6570\u636e\u3001\u9a8c\u8bc1\u6570\u636e\u3001\u8bad\u7ec3\u8f6e\u6570\u3001\u6279\u6b21\u5927\u5c0f\u7b49\u53c2\u6570\u3002\u4f8b\u5982\uff0c\u4ee5\u4e0b\u4ee3\u7801\u4f7f\u7528\u8bad\u7ec3\u6570\u636e\u96c6train_dataset\u548c\u9a8c\u8bc1\u6570\u636e\u96c6val_dataset\uff0c\u8bad\u7ec3\u6a21\u578b10\u4e2aepoch\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>model.fit(train_dataset, epochs=10, validation_data=val_dataset)\n<\/code><\/pre>\n\n\n\n<ol class=\"wp-block-list\" start=\"5\">\n<li>\u4f7f\u7528\u6a21\u578b\u8fdb\u884c\u9884\u6d4b<\/li>\n<\/ol>\n\n\n\n<p>\u8bad\u7ec3\u597dRNN\u6a21\u578b\u4e4b\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528predict()\u51fd\u6570\u4f7f\u7528\u6a21\u578b\u5bf9\u65b0\u6837\u672c\u8fdb\u884c\u9884\u6d4b\u3002\u4f8b\u5982\uff0c\u4ee5\u4e0b\u4ee3\u7801\u4f7f\u7528\u8bad\u7ec3\u597d\u7684RNN\u6a21\u578b\u5bf9\u4e00\u6bb5\u6587\u672c\u8fdb\u884c\u60c5\u611f\u5206\u7c7b\u9884\u6d4b\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>text = \"This movie is terrible. I hate it.\"\ntokens = tokenizer.texts_to_sequences([text])\ntokens_padded = tf.keras.preprocessing.sequence.pad_sequences(tokens, maxlen=max_len, padding='post')\npred = model.predict(tokens_padded)[0]\nlabel = np.argmax(pred)\n<\/code><\/pre>\n\n\n\n<p>\u5176\u4e2d\uff0ctokenizer\u662f\u4f7f\u7528tf.keras.preprocessing.text\u6a21\u5757\u521b\u5efa\u7684\u6587\u672c\u5206\u8bcd\u5668\uff0cmax_len\u662f\u9884\u5148\u5b9a\u4e49\u7684\u6700\u5927\u5e8f\u5217\u957f\u5ea6\u3002<\/p>\n\n\n\n<p>\u4ee5\u4e0a\u5c31\u662f\u4f7f\u7528TensorFlow\u6784\u5efa\u3001\u8bad\u7ec3\u548c\u8bc4\u4f30RNN\u6a21\u578b\u7684\u57fa\u672c\u65b9\u6cd5\u3002\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u8fd8\u53ef\u4ee5\u4f7f\u7528\u4e00\u4e9b\u9ad8\u7ea7\u529f\u80fd\uff0c\u5982RNN\u53d8\u4f53\u3001\u53cc\u5411RNN\u3001\u6ce8\u610f\u529b\u673a\u5236\u7b49\u6765\u8fdb\u4e00\u6b65\u63d0\u5347\u6a21\u578b\u6027\u80fd\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91caRNN\u5b9e\u4f8b\uff1a\u6587\u672c\u751f\u6210\u4efb\u52a1<\/p>\n\n\n\n<p>\u6587\u672c\u751f\u6210\u662f\u4e00\u79cd\u5e38\u89c1\u7684\u81ea\u7136\u8bed\u8a00\u5904\u7406\u4efb\u52a1\uff0c\u65e8\u5728\u751f\u6210\u4e00\u6bb5\u4e0e\u8f93\u5165\u6587\u672c\u8bed\u4e49\u76f8\u5173\u7684\u65b0\u6587\u672c\u3002\u53ef\u4ee5\u4f7f\u7528\u5faa\u73af\u795e\u7ecf\u7f51\u7edc\uff08RNN\uff09\u6a21\u578b\u6765\u89e3\u51b3\u6587\u672c\u751f\u6210\u95ee\u9898\uff0c\u5176\u4e2dRNN\u6a21\u578b\u901a\u8fc7\u8bb0\u5fc6\u4e4b\u524d\u7684\u8f93\u5165\u4fe1\u606f\u6765\u751f\u6210\u65b0\u7684\u6587\u672c\u3002<\/p>\n\n\n\n<p>\u5177\u4f53\u6765\u8bf4\uff0c\u5bf9\u4e8e\u6587\u672c\u751f\u6210\u4efb\u52a1\uff0c\u901a\u5e38\u91c7\u7528\u5b57\u7b26\u7ea7\u522b\u7684RNN\u6a21\u578b\u3002\u5728\u8fd9\u79cd\u6a21\u578b\u4e2d\uff0c\u6bcf\u4e2a\u5b57\u7b26\u88ab\u8868\u793a\u4e3a\u4e00\u4e2a\u72ec\u70ed\u5411\u91cf\uff0c\u5e76\u8f93\u5165\u5230RNN\u6a21\u578b\u4e2d\u8fdb\u884c\u8bad\u7ec3\u3002\u5728\u751f\u6210\u65b0\u6587\u672c\u65f6\uff0c\u53ef\u4ee5\u5c06\u4e00\u4e2a\u521d\u59cb\u5b57\u7b26\u8f93\u5165\u5230RNN\u6a21\u578b\u4e2d\uff0c\u7136\u540e\u4e0d\u65ad\u751f\u6210\u65b0\u7684\u5b57\u7b26\uff0c\u76f4\u5230\u8fbe\u5230\u6240\u9700\u7684\u6587\u672c\u957f\u5ea6\u3002<\/p>\n\n\n\n<p>\u4ee5\u4e0b\u662f\u4f7f\u7528TensorFlow\u5b9e\u73b0\u5b57\u7b26\u7ea7\u522bRNN\u6587\u672c\u751f\u6210\u6a21\u578b\u7684\u57fa\u672c\u6b65\u9aa4\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u6570\u636e\u9884\u5904\u7406<\/li>\n<\/ol>\n\n\n\n<p>\u9996\u5148\u9700\u8981\u5c06\u539f\u59cb\u6587\u672c\u6570\u636e\u8f6c\u6362\u4e3a\u5b57\u7b26\u7ea7\u522b\u7684\u5411\u91cf\u8868\u793a\u3002\u53ef\u4ee5\u4f7f\u7528tf.keras.preprocessing.text\u4e2d\u7684Tokenizer\u7c7b\u5c06\u6587\u672c\u8f6c\u6362\u4e3a\u6570\u5b57\u5e8f\u5217\uff0c\u7136\u540e\u4f7f\u7528tf.keras.utils\u4e2d\u7684to_categorical()\u51fd\u6570\u5c06\u6570\u5b57\u5e8f\u5217\u8f6c\u6362\u4e3a\u72ec\u70ed\u5411\u91cf\u3002\u540c\u65f6\uff0c\u9700\u8981\u5c06\u5e8f\u5217\u8fdb\u884c\u586b\u5145\uff0c\u4f7f\u5f97\u6bcf\u4e2a\u5e8f\u5217\u5177\u6709\u76f8\u540c\u7684\u957f\u5ea6\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"2\">\n<li>\u6784\u5efaRNN\u6a21\u578b<\/li>\n<\/ol>\n\n\n\n<p>\u6784\u5efaRNN\u6a21\u578b\u7684\u8fc7\u7a0b\u7c7b\u4f3c\u4e8e\u6784\u5efa\u524d\u9988\u795e\u7ecf\u7f51\u7edc\u3002\u9700\u8981\u5b9a\u4e49RNN\u7684\u7ed3\u6784\u3001\u5c42\u6570\u3001\u795e\u7ecf\u5143\u4e2a\u6570\u7b49\u8d85\u53c2\u6570\uff0c\u9009\u62e9\u635f\u5931\u51fd\u6570\u3001\u4f18\u5316\u5668\u548c\u8bc4\u4f30\u6307\u6807\uff0c\u4ee5\u53ca\u786e\u5b9a\u8f93\u5165\u548c\u8f93\u51fa\u5f62\u72b6\u7b49\u3002<\/p>\n\n\n\n<p>\u5728\u5b57\u7b26\u7ea7\u522b\u7684\u6587\u672c\u751f\u6210\u4efb\u52a1\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528tf.keras.layers\u4e2d\u7684SimpleRNN\u3001LSTM\u3001GRU\u7b49\u6a21\u5757\u6765\u6784\u5efaRNN\u6a21\u578b\u3002\u4f8b\u5982\uff0c\u4ee5\u4e0b\u4ee3\u7801\u5b9a\u4e49\u4e86\u4e00\u4e2a\u5305\u542b2\u4e2aLSTM\u5c42\u7684RNN\u6a21\u578b\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>model = tf.keras.Sequential([\n    tf.keras.layers.LSTM(256, return_sequences=True, input_shape=(None, num_chars)),\n    tf.keras.layers.Dropout(0.3),\n    tf.keras.layers.LSTM(256),\n    tf.keras.layers.Dropout(0.3),\n    tf.keras.layers.Dense(num_chars, activation='softmax')\n])\n<\/code><\/pre>\n\n\n\n<p>\u5176\u4e2d\uff0cnum_chars\u662f\u6587\u672c\u4e2d\u4e0d\u540c\u5b57\u7b26\u7684\u4e2a\u6570\uff0c\u7528\u4e8e\u786e\u5b9a\u8f93\u51fa\u5c42\u7684\u5927\u5c0f\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"3\">\n<li>\u7f16\u8bd1\u6a21\u578b<\/li>\n<\/ol>\n\n\n\n<p>\u5728\u6784\u5efa\u597dRNN\u6a21\u578b\u4e4b\u540e\uff0c\u9700\u8981\u4f7f\u7528compile()\u51fd\u6570\u6765\u7f16\u8bd1\u6a21\u578b\uff0c\u6307\u5b9a\u635f\u5931\u51fd\u6570\u3001\u4f18\u5316\u5668\u548c\u8bc4\u4f30\u6307\u6807\u7b49\u3002\u4f8b\u5982\uff0c\u4ee5\u4e0b\u4ee3\u7801\u6307\u5b9a\u4e86\u4ea4\u53c9\u71b5\u635f\u5931\u51fd\u6570\u3001Adam\u4f18\u5316\u5668\u548c\u51c6\u786e\u7387\u8bc4\u4f30\u6307\u6807\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>model.compile(loss='categorical_crossentropy', optimizer='adam', metrics=['accuracy'])\n<\/code><\/pre>\n\n\n\n<ol class=\"wp-block-list\" start=\"4\">\n<li>\u8bad\u7ec3\u6a21\u578b<\/li>\n<\/ol>\n\n\n\n<p>\u5728\u7f16\u8bd1\u597d\u6a21\u578b\u4e4b\u540e\uff0c\u5c31\u53ef\u4ee5\u4f7f\u7528fit()\u51fd\u6570\u6765\u8bad\u7ec3\u6a21\u578b\u4e86\u3002\u9700\u8981\u6307\u5b9a\u8bad\u7ec3\u6570\u636e\u3001\u9a8c\u8bc1\u6570\u636e\u3001\u8bad\u7ec3\u8f6e\u6570\u3001\u6279\u6b21\u5927\u5c0f\u7b49\u53c2\u6570\u3002\u4f8b\u5982\uff0c\u4ee5\u4e0b\u4ee3\u7801\u4f7f\u7528\u8bad\u7ec3\u6570\u636e\u96c6train_dataset\u548c\u9a8c\u8bc1\u6570\u636e\u96c6val_dataset\uff0c\u8bad\u7ec3\u6a21\u578b50\u4e2aepoch\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>model.fit(train_dataset, epochs=50, validation_data=val_dataset)\n<\/code><\/pre>\n\n\n\n<ol class=\"wp-block-list\" start=\"5\">\n<li>\u4f7f\u7528\u6a21\u578b\u8fdb\u884c\u9884\u6d4b<\/li>\n<\/ol>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91caTensorFlow\u6570\u636e\u5904\u7406\u4e0e\u9884\u5904\u7406<\/p>\n\n\n\n<p>TensorFlow\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u6570\u636e\u5904\u7406\u548c\u9884\u5904\u7406\u5de5\u5177\uff0c\u65b9\u4fbf\u7528\u6237\u5bf9\u5404\u79cd\u6570\u636e\u8fdb\u884c\u5904\u7406\u548c\u8f6c\u6362\u3002\u4e0b\u9762\u4ecb\u7ecd\u4e00\u4e9b\u5e38\u7528\u7684\u6570\u636e\u5904\u7406\u548c\u9884\u5904\u7406\u5de5\u5177\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>tf.data.Dataset<\/li>\n<\/ol>\n\n\n\n<p>tf.data.Dataset\u662fTensorFlow\u4e2d\u7528\u4e8e\u5904\u7406\u6570\u636e\u96c6\u7684API\u3002\u5b83\u53ef\u4ee5\u5904\u7406\u5404\u79cd\u7c7b\u578b\u7684\u6570\u636e\u96c6\uff0c\u5982TensorFlow\u5f20\u91cf\u3001numpy\u6570\u7ec4\u3001CSV\u6587\u4ef6\u3001TFRecord\u6587\u4ef6\u7b49\uff0c\u5e76\u63d0\u4f9b\u4e86\u5404\u79cd\u529f\u80fd\uff0c\u5982batching\u3001shuffling\u3001map\u3001filter\u7b49\uff0c\u65b9\u4fbf\u7528\u6237\u5bf9\u6570\u636e\u96c6\u8fdb\u884c\u5904\u7406\u548c\u9884\u5904\u7406\u3002<\/p>\n\n\n\n<p>\u4f8b\u5982\uff0c\u4ee5\u4e0b\u4ee3\u7801\u4f7f\u7528tf.data.Dataset\u52a0\u8f7d\u4e00\u4e2aCSV\u6587\u4ef6\uff0c\u5bf9\u6570\u636e\u8fdb\u884cshuffle\u3001batching\u3001\u6620\u5c04\u51fd\u6570\u5904\u7406\uff0c\u5e76\u8fd4\u56de\u4e00\u4e2a\u8fed\u4ee3\u5668\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>dataset = tf.data.experimental.CsvDataset(filename, [tf.int32, tf.float32], header=True)\ndataset = dataset.shuffle(buffer_size=10000)\ndataset = dataset.batch(batch_size)\ndataset = dataset.map(lambda x, y: (tf.divide(x, 255), y))\niterator = dataset.make_one_shot_iterator()\n<\/code><\/pre>\n\n\n\n<ol class=\"wp-block-list\" start=\"2\">\n<li>tf.keras.preprocessing<\/li>\n<\/ol>\n\n\n\n<p>tf.keras.preprocessing\u6a21\u5757\u63d0\u4f9b\u4e86\u5404\u79cd\u6570\u636e\u9884\u5904\u7406\u5de5\u5177\uff0c\u5305\u62ec\u6587\u672c\u5904\u7406\u3001\u56fe\u50cf\u5904\u7406\u3001\u5e8f\u5217\u5904\u7406\u7b49\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u4f7f\u7528Tokenizer\u7c7b\u5c06\u6587\u672c\u8f6c\u6362\u4e3a\u6570\u5b57\u5e8f\u5217\uff0c\u4f7f\u7528ImageDataGenerator\u7c7b\u8fdb\u884c\u56fe\u50cf\u589e\u5f3a\uff0c\u4f7f\u7528pad_sequences\u51fd\u6570\u8fdb\u884c\u5e8f\u5217\u586b\u5145\u7b49\u3002<\/p>\n\n\n\n<p>\u4f8b\u5982\uff0c\u4ee5\u4e0b\u4ee3\u7801\u4f7f\u7528Tokenizer\u7c7b\u5c06\u4e00\u6bb5\u6587\u672c\u8f6c\u6362\u4e3a\u6570\u5b57\u5e8f\u5217\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>from tensorflow.keras.preprocessing.text import Tokenizer\n\ntexts = [\"this is a test\", \"another test\", \"yet another test\"]\ntokenizer = Tokenizer(num_words=1000)\ntokenizer.fit_on_texts(texts)\nsequences = tokenizer.texts_to_sequences(texts)\n<\/code><\/pre>\n\n\n\n<ol class=\"wp-block-list\" start=\"3\">\n<li>tf.image<\/li>\n<\/ol>\n\n\n\n<p>tf.image\u6a21\u5757\u63d0\u4f9b\u4e86\u5404\u79cd\u56fe\u50cf\u5904\u7406\u5de5\u5177\uff0c\u5982\u8c03\u6574\u5927\u5c0f\u3001\u88c1\u526a\u3001\u65cb\u8f6c\u3001\u7ffb\u8f6c\u3001\u5f52\u4e00\u5316\u7b49\u3002\u53ef\u4ee5\u4f7f\u7528tf.image\u4e2d\u7684\u51fd\u6570\u5bf9\u56fe\u50cf\u8fdb\u884c\u5904\u7406\u548c\u9884\u5904\u7406\u3002<\/p>\n\n\n\n<p>\u4f8b\u5982\uff0c\u4ee5\u4e0b\u4ee3\u7801\u4f7f\u7528tf.image.resize()\u51fd\u6570\u8c03\u6574\u56fe\u50cf\u5927\u5c0f\uff0c\u5e76\u4f7f\u7528tf.image.per_image_standardization()\u51fd\u6570\u5bf9\u56fe\u50cf\u8fdb\u884c\u5f52\u4e00\u5316\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>import tensorflow as tf\n\nimage = tf.io.read_file('image.jpg')\nimage = tf.image.decode_jpeg(image, channels=3)\nimage = tf.image.resize(image, [224, 224])\nimage = tf.image.per_image_standardization(image)\n<\/code><\/pre>\n\n\n\n<p>\u4ee5\u4e0a\u5c31\u662f\u4e00\u4e9b\u5e38\u7528\u7684TensorFlow\u6570\u636e\u5904\u7406\u548c\u9884\u5904\u7406\u5de5\u5177\u548c\u65b9\u6cd5\uff0c\u53ef\u4ee5\u5e2e\u52a9\u7528\u6237\u5bf9\u4e0d\u540c\u7c7b\u578b\u7684\u6570\u636e\u8fdb\u884c\u5904\u7406\u548c\u8f6c\u6362\uff0c\u4e3a\u6a21\u578b\u7684\u8bad\u7ec3\u548c\u5e94\u7528\u63d0\u4f9b\u4fbf\u5229\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91ca\u6570\u636e\u96c6\u52a0\u8f7d<\/p>\n\n\n\n<p>\u5728\u4f7f\u7528TensorFlow\u8fdb\u884c\u6a21\u578b\u8bad\u7ec3\u65f6\uff0c\u901a\u5e38\u9700\u8981\u5c06\u6570\u636e\u52a0\u8f7d\u5230\u5185\u5b58\u4e2d\u8fdb\u884c\u8bad\u7ec3\u3002TensorFlow\u63d0\u4f9b\u4e86\u591a\u79cd\u6570\u636e\u96c6\u52a0\u8f7d\u65b9\u5f0f\uff0c\u65b9\u4fbf\u7528\u6237\u52a0\u8f7d\u5404\u79cd\u7c7b\u578b\u7684\u6570\u636e\u96c6\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u7528\u7684\u6570\u636e\u96c6\u52a0\u8f7d\u65b9\u5f0f\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>tf.data.Dataset<\/li>\n<\/ol>\n\n\n\n<p>tf.data.Dataset\u662fTensorFlow\u4e2d\u7528\u4e8e\u5904\u7406\u6570\u636e\u96c6\u7684API\u3002\u5b83\u53ef\u4ee5\u5904\u7406\u5404\u79cd\u7c7b\u578b\u7684\u6570\u636e\u96c6\uff0c\u5982TensorFlow\u5f20\u91cf\u3001numpy\u6570\u7ec4\u3001CSV\u6587\u4ef6\u3001TFRecord\u6587\u4ef6\u7b49\uff0c\u5e76\u63d0\u4f9b\u4e86\u5404\u79cd\u529f\u80fd\uff0c\u5982batching\u3001shuffling\u3001map\u3001filter\u7b49\uff0c\u65b9\u4fbf\u7528\u6237\u5bf9\u6570\u636e\u96c6\u8fdb\u884c\u5904\u7406\u548c\u9884\u5904\u7406\u3002<\/p>\n\n\n\n<p>\u4f8b\u5982\uff0c\u4ee5\u4e0b\u4ee3\u7801\u4f7f\u7528tf.data.Dataset\u52a0\u8f7d\u4e00\u4e2aCSV\u6587\u4ef6\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>import tensorflow as tf\n\nfilename = 'data.csv'\ndataset = tf.data.experimental.CsvDataset(filename, [tf.float32, tf.int32], header=True)\n<\/code><\/pre>\n\n\n\n<ol class=\"wp-block-list\" start=\"2\">\n<li>tf.keras.utils.Sequence<\/li>\n<\/ol>\n\n\n\n<p>tf.keras.utils.Sequence\u662fTensorFlow\u4e2d\u7528\u4e8e\u5904\u7406\u5e8f\u5217\u6570\u636e\u7684API\u3002\u5b83\u53ef\u4ee5\u5c06\u6570\u636e\u96c6\u5206\u6210\u591a\u4e2abatch\uff0c\u65b9\u4fbf\u7528\u6237\u8fdb\u884c\u6279\u91cf\u8bad\u7ec3\u3002<\/p>\n\n\n\n<p>\u4f8b\u5982\uff0c\u4ee5\u4e0b\u4ee3\u7801\u5b9a\u4e49\u4e86\u4e00\u4e2aSequence\u7c7b\u6765\u52a0\u8f7d\u6570\u636e\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>import numpy as np\nfrom tensorflow.keras.utils import Sequence\n\nclass DataSequence(Sequence):\n    def __init__(self, x_set, y_set, batch_size):\n        self.x, self.y = x_set, y_set\n        self.batch_size = batch_size\n\n    def __len__(self):\n        return int(np.ceil(len(self.x) \/ float(self.batch_size)))\n\n    def __getitem__(self, idx):\n        batch_x = self.x[idx * self.batch_size:(idx + 1) * self.batch_size]\n        batch_y = self.y[idx * self.batch_size:(idx + 1) * self.batch_size]\n\n        return np.array(batch_x), np.array(batch_y)\n<\/code><\/pre>\n\n\n\n<ol class=\"wp-block-list\" start=\"3\">\n<li>tf.data.TFRecordDataset<\/li>\n<\/ol>\n\n\n\n<p>tf.data.TFRecordDataset\u662fTensorFlow\u4e2d\u7528\u4e8e\u5904\u7406TFRecord\u6587\u4ef6\u7684API\u3002TFRecord\u662f\u4e00\u79cd\u4e8c\u8fdb\u5236\u6587\u4ef6\u683c\u5f0f\uff0c\u53ef\u4ee5\u5c06\u6570\u636e\u96c6\u8fdb\u884c\u5e8f\u5217\u5316\u548c\u538b\u7f29\uff0c\u65b9\u4fbf\u6570\u636e\u4f20\u8f93\u548c\u5b58\u50a8\u3002tf.data.TFRecordDataset\u53ef\u4ee5\u76f4\u63a5\u8bfb\u53d6TFRecord\u6587\u4ef6\u5e76\u5c06\u5176\u8f6c\u6362\u4e3aTensorFlow\u5f20\u91cf\u3002<\/p>\n\n\n\n<p>\u4f8b\u5982\uff0c\u4ee5\u4e0b\u4ee3\u7801\u4f7f\u7528tf.data.TFRecordDataset\u52a0\u8f7d\u4e00\u4e2aTFRecord\u6587\u4ef6\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>import tensorflow as tf\n\nfilename = 'data.tfrecord'\ndataset = tf.data.TFRecordDataset(filename)\n<\/code><\/pre>\n\n\n\n<p>\u4ee5\u4e0a\u5c31\u662f\u4e00\u4e9b\u5e38\u7528\u7684TensorFlow\u6570\u636e\u96c6\u52a0\u8f7d\u65b9\u5f0f\u3002\u6839\u636e\u4e0d\u540c\u7684\u6570\u636e\u7c7b\u578b\u548c\u6570\u636e\u96c6\u683c\u5f0f\uff0c\u53ef\u4ee5\u9009\u62e9\u4e0d\u540c\u7684\u6570\u636e\u96c6\u52a0\u8f7d\u65b9\u5f0f\uff0c\u5e76\u8fdb\u884c\u76f8\u5e94\u7684\u6570\u636e\u9884\u5904\u7406\u548c\u6570\u636e\u589e\u5f3a\u7b49\u64cd\u4f5c\uff0c\u4ee5\u63d0\u9ad8\u6a21\u578b\u7684\u8bad\u7ec3\u6548\u679c\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91ca\u6570\u636e\u9884\u5904\u7406<\/p>\n\n\n\n<p>\u6570\u636e\u9884\u5904\u7406\u662f\u6307\u5728\u6a21\u578b\u8bad\u7ec3\u4e4b\u524d\u5bf9\u6570\u636e\u8fdb\u884c\u4e00\u7cfb\u5217\u7684\u8f6c\u6362\u548c\u64cd\u4f5c\uff0c\u4ee5\u63d0\u9ad8\u6a21\u578b\u7684\u8bad\u7ec3\u6548\u679c\u3002\u6570\u636e\u9884\u5904\u7406\u901a\u5e38\u5305\u62ec\u4ee5\u4e0b\u51e0\u4e2a\u65b9\u9762\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u6570\u636e\u6e05\u6d17<\/li>\n<\/ol>\n\n\n\n<p>\u6570\u636e\u6e05\u6d17\u662f\u6307\u5bf9\u6570\u636e\u8fdb\u884c\u4e00\u4e9b\u5fc5\u8981\u7684\u6e05\u6d17\u548c\u5904\u7406\uff0c\u5982\u53bb\u9664\u5f02\u5e38\u503c\u3001\u586b\u8865\u7f3a\u5931\u503c\u7b49\u3002\u8fd9\u53ef\u4ee5\u907f\u514d\u6a21\u578b\u5728\u8bad\u7ec3\u65f6\u53d7\u5230\u4e0d\u826f\u6570\u636e\u7684\u5e72\u6270\uff0c\u63d0\u9ad8\u6a21\u578b\u7684\u51c6\u786e\u6027\u548c\u7a33\u5b9a\u6027\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"2\">\n<li>\u6570\u636e\u589e\u5f3a<\/li>\n<\/ol>\n\n\n\n<p>\u6570\u636e\u589e\u5f3a\u662f\u6307\u5bf9\u539f\u59cb\u6570\u636e\u8fdb\u884c\u4e00\u4e9b\u53d8\u6362\u548c\u6269\u5145\uff0c\u4ee5\u589e\u52a0\u6570\u636e\u96c6\u7684\u591a\u6837\u6027\u548c\u6570\u91cf\uff0c\u63d0\u9ad8\u6a21\u578b\u7684\u6cdb\u5316\u80fd\u529b\u3002\u5e38\u89c1\u7684\u6570\u636e\u589e\u5f3a\u65b9\u6cd5\u5305\u62ec\u56fe\u50cf\u65cb\u8f6c\u3001\u7ffb\u8f6c\u3001\u88c1\u526a\u3001\u7f29\u653e\u7b49\u64cd\u4f5c\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"3\">\n<li>\u6570\u636e\u6807\u51c6\u5316<\/li>\n<\/ol>\n\n\n\n<p>\u6570\u636e\u6807\u51c6\u5316\u662f\u6307\u5bf9\u6570\u636e\u8fdb\u884c\u4e00\u5b9a\u7684\u7f29\u653e\u548c\u5e73\u79fb\uff0c\u4ee5\u4f7f\u5f97\u6570\u636e\u7684\u5747\u503c\u4e3a0\uff0c\u65b9\u5dee\u4e3a1\u3002\u8fd9\u53ef\u4ee5\u52a0\u901f\u6a21\u578b\u7684\u8bad\u7ec3\uff0c\u63d0\u9ad8\u6a21\u578b\u7684\u6536\u655b\u901f\u5ea6\u548c\u51c6\u786e\u6027\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"4\">\n<li>\u6570\u636e\u7f16\u7801<\/li>\n<\/ol>\n\n\n\n<p>\u6570\u636e\u7f16\u7801\u662f\u6307\u5c06\u6570\u636e\u8fdb\u884c\u7f16\u7801\uff0c\u4ee5\u4fbf\u4e8e\u6a21\u578b\u7684\u8bad\u7ec3\u548c\u5e94\u7528\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u5c06\u6587\u672c\u8fdb\u884c\u8bcd\u5411\u91cf\u5316\uff0c\u5c06\u56fe\u50cf\u8fdb\u884c\u50cf\u7d20\u503c\u5f52\u4e00\u5316\u7b49\u3002<\/p>\n\n\n\n<p>TensorFlow\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u6570\u636e\u9884\u5904\u7406\u5de5\u5177\u548c\u51fd\u6570\uff0c\u65b9\u4fbf\u7528\u6237\u5bf9\u4e0d\u540c\u7c7b\u578b\u7684\u6570\u636e\u8fdb\u884c\u5904\u7406\u548c\u8f6c\u6362\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u4f7f\u7528tf.data.Dataset API\u8fdb\u884c\u6570\u636e\u9884\u5904\u7406\u548c\u6279\u91cf\u5904\u7406\uff0c\u4f7f\u7528tf.image API\u8fdb\u884c\u56fe\u50cf\u589e\u5f3a\u548c\u6807\u51c6\u5316\uff0c\u4f7f\u7528tf.keras.preprocessing API\u8fdb\u884c\u6587\u672c\u548c\u5e8f\u5217\u7684\u7f16\u7801\u548c\u586b\u5145\u7b49\u64cd\u4f5c\u3002<\/p>\n\n\n\n<p>\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u7528\u7684\u6570\u636e\u9884\u5904\u7406\u65b9\u6cd5\u548c\u4ee3\u7801\u793a\u4f8b\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u6570\u636e\u6e05\u6d17<\/li>\n<\/ol>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>import pandas as pd\n\n# \u8bfb\u53d6\u6570\u636e\u96c6\ndata = pd.read_csv('data.csv')\n\n# \u5220\u9664\u7f3a\u5931\u503c\ndata = data.dropna()\n\n# \u5220\u9664\u5f02\u5e38\u503c\ndata = data[(data['value'] &gt;= 0) &amp; (data['value'] &lt;= 100)]\n<\/code><\/pre>\n\n\n\n<ol class=\"wp-block-list\" start=\"2\">\n<li>\u6570\u636e\u589e\u5f3a<\/li>\n<\/ol>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>import tensorflow as tf\n\n# \u56fe\u50cf\u65cb\u8f6c\nimage = tf.image.rot90(image)\n\n# \u56fe\u50cf\u7ffb\u8f6c\nimage = tf.image.flip_left_right(image)\n\n# \u56fe\u50cf\u88c1\u526a\nimage = tf.image.central_crop(image, central_fraction=0.8)\n\n# \u56fe\u50cf\u7f29\u653e\nimage = tf.image.resize(image, [224, 224])\n<\/code><\/pre>\n\n\n\n<ol class=\"wp-block-list\" start=\"3\">\n<li>\u6570\u636e\u6807\u51c6\u5316<\/li>\n<\/ol>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>import tensorflow as tf\n\n# \u56fe\u50cf\u6807\u51c6\u5316\nimage = tf.image.per_image_standardization(image)\n\n# \u6570\u503c\u6807\u51c6\u5316\ndata = (data - data.mean()) \/ data.std()\n<\/code><\/pre>\n\n\n\n<ol class=\"wp-block-list\" start=\"4\">\n<li>\u6570\u636e\u7f16\u7801<\/li>\n<\/ol>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>import tensorflow as tf\n\n# \u6587\u672c\u7f16\u7801\ntokenizer = tf.keras.preprocessing.text.Tokenizer(num_words=1000)\ntokenizer.fit_on_texts(texts)\nsequences = tokenizer.texts_to_sequences(texts)\n\n# \u5e8f\u5217\u586b\u5145\npadded_sequences = tf.keras.preprocessing.sequence.pad_sequences(sequences, maxlen=max_length)\n<\/code><\/pre>\n\n\n\n<p>\u901a\u8fc7\u6570\u636e\u9884\u5904\u7406\uff0c\u53ef\u4ee5\u4f7f\u5f97\u6570\u636e\u66f4<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u7ee7\u7eed<\/p>\n\n\n\n<p>\u52a0\u5feb\u6a21\u578b\u7684\u8bad\u7ec3\u548c\u63d0\u9ad8\u6a21\u578b\u7684\u51c6\u786e\u6027\u3002\u4f46\u9700\u8981\u6ce8\u610f\u7684\u662f\uff0c\u6570\u636e\u9884\u5904\u7406\u9700\u8981\u6839\u636e\u4e0d\u540c\u7684\u6570\u636e\u7c7b\u578b\u548c\u4efb\u52a1\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\uff0c\u5e76\u4e14\u9700\u8981\u8c28\u614e\u5904\u7406\uff0c\u4ee5\u907f\u514d\u5bf9\u6570\u636e\u7684\u6539\u53d8\u8fc7\u5ea6\uff0c\u5bfc\u81f4\u6a21\u578b\u8fc7\u62df\u5408\u7b49\u95ee\u9898\u3002<\/p>\n\n\n\n<p>\u5728\u8fdb\u884c\u6570\u636e\u9884\u5904\u7406\u65f6\uff0c\u53ef\u4ee5\u5148\u5bf9\u6570\u636e\u8fdb\u884c\u53ef\u89c6\u5316\u548c\u5206\u6790\uff0c\u4e86\u89e3\u6570\u636e\u7684\u5206\u5e03\u548c\u7279\u5f81\uff0c\u7136\u540e\u9009\u62e9\u5408\u9002\u7684\u9884\u5904\u7406\u65b9\u6cd5\u3002\u540c\u65f6\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ea4\u53c9\u9a8c\u8bc1\u7b49\u6280\u672f\u6765\u8bc4\u4f30\u6a21\u578b\u7684\u8bad\u7ec3\u6548\u679c\uff0c\u5e76\u6839\u636e\u7ed3\u679c\u6765\u8c03\u6574\u548c\u4f18\u5316\u6570\u636e\u9884\u5904\u7406\u65b9\u6cd5\u3002<\/p>\n\n\n\n<p>\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u6570\u636e\u9884\u5904\u7406\u793a\u4f8b\uff0c\u4f7f\u7528tf.data.Dataset API\u5bf9\u56fe\u50cf\u8fdb\u884c\u968f\u673a\u7ffb\u8f6c\u548c\u6807\u51c6\u5316\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>import tensorflow as tf\n\n# \u521b\u5efa\u6570\u636e\u96c6\nimage_paths = ['image1.jpg', 'image2.jpg', 'image3.jpg', 'image4.jpg']\nlabels = [0, 1, 0, 1]\ndataset = tf.data.Dataset.from_tensor_slices((image_paths, labels))\n\n# \u52a0\u8f7d\u56fe\u50cf\ndef load_image(path):\n    image = tf.io.read_file(path)\n    image = tf.image.decode_jpeg(image, channels=3)\n    return image\n\ndataset = dataset.map(lambda x, y: (load_image(x), y))\n\n# \u968f\u673a\u7ffb\u8f6c\ndataset = dataset.map(lambda x, y: (tf.image.random_flip_left_right(x), y))\n\n# \u56fe\u50cf\u6807\u51c6\u5316\ndataset = dataset.map(lambda x, y: (tf.image.per_image_standardization(x), y))\n\n# \u6279\u91cf\u5904\u7406\nbatch_size = 32\ndataset = dataset.batch(batch_size)\n\n# \u8bad\u7ec3\u6a21\u578b\nmodel.fit(dataset, epochs=10)\n<\/code><\/pre>\n\n\n\n<p>\u901a\u8fc7\u4ee5\u4e0a\u4ee3\u7801\uff0c\u53ef\u4ee5\u5bf9\u56fe\u50cf\u8fdb\u884c\u968f\u673a\u7ffb\u8f6c\u548c\u6807\u51c6\u5316\uff0c\u5e76\u5c06\u6570\u636e\u96c6\u5206\u6279\u5904\u7406\uff0c\u4ee5\u4fbf\u4e8e\u6a21\u578b\u7684\u8bad\u7ec3\u3002\u540c\u65f6\uff0c\u53ef\u4ee5\u4f7f\u7528\u66f4\u590d\u6742\u7684\u6570\u636e\u9884\u5904\u7406\u65b9\u6cd5\u6765\u8fdb\u4e00\u6b65\u63d0\u9ad8\u6a21\u578b\u7684\u8bad\u7ec3\u6548\u679c\uff0c\u5982\u4f7f\u7528\u6570\u636e\u589e\u5f3a\u6765\u589e\u52a0\u6570\u636e\u96c6\u7684\u591a\u6837\u6027\u548c\u6570\u91cf\uff0c\u4f7f\u7528\u6570\u636e\u6807\u51c6\u5316\u6765\u52a0\u901f\u6a21\u578b\u7684\u6536\u655b\u901f\u5ea6\u7b49\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91ca\u6570\u636e\u589e\u5f3a<\/p>\n\n\n\n<p>\u6570\u636e\u589e\u5f3a\u662f\u6307\u901a\u8fc7\u5bf9\u539f\u59cb\u6570\u636e\u8fdb\u884c\u53d8\u6362\u548c\u6269\u5145\uff0c\u4ee5\u589e\u52a0\u6570\u636e\u96c6\u7684\u591a\u6837\u6027\u548c\u6570\u91cf\uff0c\u63d0\u9ad8\u6a21\u578b\u7684\u6cdb\u5316\u80fd\u529b\u3002\u6570\u636e\u589e\u5f3a\u53ef\u4ee5\u6709\u6548\u5730\u7f13\u89e3\u6570\u636e\u4e0d\u8db3\u7684\u95ee\u9898\uff0c\u5e76\u4e14\u53ef\u4ee5\u63d0\u9ad8\u6a21\u578b\u7684\u9c81\u68d2\u6027\uff0c\u51cf\u5c11\u8fc7\u62df\u5408\u7684\u98ce\u9669\u3002<\/p>\n\n\n\n<p>\u6570\u636e\u589e\u5f3a\u7684\u65b9\u6cd5\u6709\u5f88\u591a\u79cd\uff0c\u4e0b\u9762\u4ecb\u7ecd\u4e00\u4e9b\u5e38\u7528\u7684\u65b9\u6cd5\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u968f\u673a\u88c1\u526a<\/li>\n<\/ol>\n\n\n\n<p>\u968f\u673a\u88c1\u526a\u662f\u6307\u5bf9\u539f\u59cb\u56fe\u50cf\u8fdb\u884c\u968f\u673a\u7684\u88c1\u526a\u548c\u7f29\u653e\u64cd\u4f5c\uff0c\u4ee5\u751f\u6210\u4e0d\u540c\u5927\u5c0f\u7684\u56fe\u50cf\u3002\u8fd9\u53ef\u4ee5\u589e\u52a0\u6570\u636e\u96c6\u7684\u591a\u6837\u6027\u548c\u6570\u91cf\uff0c\u5e76\u4e14\u53ef\u4ee5\u63d0\u9ad8\u6a21\u578b\u5bf9\u4e0d\u540c\u5927\u5c0f\u7684\u56fe\u50cf\u7684\u9002\u5e94\u80fd\u529b\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"2\">\n<li>\u968f\u673a\u7ffb\u8f6c<\/li>\n<\/ol>\n\n\n\n<p>\u968f\u673a\u7ffb\u8f6c\u662f\u6307\u5bf9\u539f\u59cb\u56fe\u50cf\u8fdb\u884c\u968f\u673a\u7684\u6c34\u5e73\u6216\u5782\u76f4\u7ffb\u8f6c\u64cd\u4f5c\uff0c\u4ee5\u751f\u6210\u5de6\u53f3\u7ffb\u8f6c\u6216\u4e0a\u4e0b\u7ffb\u8f6c\u7684\u56fe\u50cf\u3002\u8fd9\u53ef\u4ee5\u589e\u52a0\u6570\u636e\u96c6\u7684\u591a\u6837\u6027\u548c\u6570\u91cf\uff0c\u5e76\u4e14\u53ef\u4ee5\u63d0\u9ad8\u6a21\u578b\u5bf9\u4e0d\u540c\u89d2\u5ea6\u7684\u56fe\u50cf\u7684\u9002\u5e94\u80fd\u529b\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"3\">\n<li>\u968f\u673a\u65cb\u8f6c<\/li>\n<\/ol>\n\n\n\n<p>\u968f\u673a\u65cb\u8f6c\u662f\u6307\u5bf9\u539f\u59cb\u56fe\u50cf\u8fdb\u884c\u968f\u673a\u7684\u65cb\u8f6c\u64cd\u4f5c\uff0c\u4ee5\u751f\u6210\u4e0d\u540c\u89d2\u5ea6\u7684\u56fe\u50cf\u3002\u8fd9\u53ef\u4ee5\u589e\u52a0\u6570\u636e\u96c6\u7684\u591a\u6837\u6027\u548c\u6570\u91cf\uff0c\u5e76\u4e14\u53ef\u4ee5\u63d0\u9ad8\u6a21\u578b\u5bf9\u65cb\u8f6c\u53d8\u5316\u7684\u56fe\u50cf\u7684\u9002\u5e94\u80fd\u529b\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"4\">\n<li>\u968f\u673a\u4eae\u5ea6\u3001\u5bf9\u6bd4\u5ea6\u548c\u8272\u8c03\u8c03\u6574<\/li>\n<\/ol>\n\n\n\n<p>\u968f\u673a\u4eae\u5ea6\u3001\u5bf9\u6bd4\u5ea6\u548c\u8272\u8c03\u8c03\u6574\u662f\u6307\u5bf9\u539f\u59cb\u56fe\u50cf\u8fdb\u884c\u968f\u673a\u7684\u4eae\u5ea6\u3001\u5bf9\u6bd4\u5ea6\u548c\u8272\u8c03\u7684\u8c03\u6574\uff0c\u4ee5\u751f\u6210\u4e0d\u540c\u8272\u5f69\u548c\u4eae\u5ea6\u7684\u56fe\u50cf\u3002\u8fd9\u53ef\u4ee5\u589e\u52a0\u6570\u636e\u96c6\u7684\u591a\u6837\u6027\u548c\u6570\u91cf\uff0c\u5e76\u4e14\u53ef\u4ee5\u63d0\u9ad8\u6a21\u578b\u5bf9\u4e0d\u540c\u8272\u5f69\u548c\u4eae\u5ea6\u7684\u56fe\u50cf\u7684\u9002\u5e94\u80fd\u529b\u3002<\/p>\n\n\n\n<p>\u9664\u4e86\u4ee5\u4e0a\u65b9\u6cd5\uff0c\u8fd8\u53ef\u4ee5\u4f7f\u7528\u4e00\u4e9b\u7279\u5b9a\u9886\u57df\u7684\u6570\u636e\u589e\u5f3a\u65b9\u6cd5\uff0c\u5982\u5728\u8bed\u97f3\u8bc6\u522b\u4efb\u52a1\u4e2d\u4f7f\u7528\u968f\u673a\u6270\u52a8\u3001\u566a\u58f0\u548c\u53d8\u901f\u64cd\u4f5c\uff0c\u4ee5\u6a21\u62df\u771f\u5b9e\u7684\u8bed\u97f3\u73af\u5883\uff0c\u63d0\u9ad8\u6a21\u578b\u7684\u9c81\u68d2\u6027\u3002<\/p>\n\n\n\n<p>\u5728TensorFlow\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528tf.image API\u548ctf.keras.preprocessing.image API\u6765\u5b9e\u73b0\u6570\u636e\u589e\u5f3a\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u6570\u636e\u589e\u5f3a\u793a\u4f8b\uff0c\u4f7f\u7528tf.keras.preprocessing.image API\u5bf9\u56fe\u50cf\u8fdb\u884c\u968f\u673a\u7ffb\u8f6c\u548c\u88c1\u526a\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>import tensorflow as tf\n\n# \u521b\u5efa\u6570\u636e\u751f\u6210\u5668\ntrain_datagen = tf.keras.preprocessing.image.ImageDataGenerator(\n    rotation_range=20,\n    width_shift_range=0.2,\n    height_shift_range=0.2,\n    horizontal_flip=True,\n    vertical_flip=True,\n    zoom_range=0.2,\n    shear_range=0.2,\n    fill_mode='nearest')\n\n# \u52a0\u8f7d\u56fe\u50cf\nimage_path = 'image.jpg'\nimage = tf.keras.preprocessing.image.load_img(image_path)\n\n# \u968f\u673a\u7ffb\u8f6c\u548c\u88c1\u526a\nimage = train_datagen.random_transform(image)\n\n# \u663e\u793a\u56fe\u50cf\nimage.show()\n<\/code><\/pre>\n\n\n\n<p>\u901a\u8fc7\u4ee5\u4e0a\u4ee3\u7801\uff0c\u53ef\u4ee5\u5bf9<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u7ee7\u7eed<\/p>\n\n\n\n<p>\u56fe\u50cf\u8fdb\u884c\u968f\u673a\u7ffb\u8f6c\u3001\u88c1\u526a\u3001\u65cb\u8f6c\u3001\u7f29\u653e\u7b49\u64cd\u4f5c\uff0c\u751f\u6210\u4e0d\u540c\u6837\u7684\u56fe\u50cf\u3002\u5177\u4f53\u6765\u8bf4\uff0c<code>ImageDataGenerator<\/code>\u63d0\u4f9b\u4e86\u591a\u79cd\u6570\u636e\u589e\u5f3a\u65b9\u6cd5\uff0c\u5982<code>rotation_range<\/code>\u6307\u5b9a\u65cb\u8f6c\u8303\u56f4\uff0c<code>width_shift_range<\/code>\u548c<code>height_shift_range<\/code>\u6307\u5b9a\u6c34\u5e73\u548c\u5782\u76f4\u5e73\u79fb\u8303\u56f4\uff0c<code>horizontal_flip<\/code>\u548c<code>vertical_flip<\/code>\u6307\u5b9a\u6c34\u5e73\u548c\u5782\u76f4\u7ffb\u8f6c\u7684\u6982\u7387\u7b49\u3002\u901a\u8fc7\u8bbe\u7f6e\u4e0d\u540c\u7684\u53c2\u6570\uff0c\u53ef\u4ee5\u751f\u6210\u591a\u6837\u6027\u7684\u56fe\u50cf\uff0c\u7528\u4e8e\u8bad\u7ec3\u6a21\u578b\u3002<\/p>\n\n\n\n<p>\u9700\u8981\u6ce8\u610f\u7684\u662f\uff0c\u6570\u636e\u589e\u5f3a\u4e0d\u662f\u4e07\u80fd\u7684\uff0c\u8fc7\u5ea6\u7684\u6570\u636e\u589e\u5f3a\u53ef\u80fd\u4f1a\u5bfc\u81f4\u6570\u636e\u7684\u6539\u53d8\u8fc7\u5927\uff0c\u4ece\u800c\u5f71\u54cd\u6a21\u578b\u7684\u8bad\u7ec3\u6548\u679c\u3002\u56e0\u6b64\uff0c\u5728\u8fdb\u884c\u6570\u636e\u589e\u5f3a\u65f6\uff0c\u9700\u8981\u8c28\u614e\u5904\u7406\uff0c\u907f\u514d\u5bf9\u6570\u636e\u7684\u6539\u53d8\u8fc7\u5ea6\uff0c\u5e76\u6839\u636e\u5b9e\u9645\u60c5\u51b5\u9009\u62e9\u5408\u9002\u7684\u589e\u5f3a\u65b9\u6cd5\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91caTensorFlow\u6a21\u578b\u4fdd\u5b58\u4e0e\u52a0\u8f7d<\/p>\n\n\n\n<p>\u5728TensorFlow\u4e2d\uff0c\u53ef\u4ee5\u901a\u8fc7\u6a21\u578b\u7684\u4fdd\u5b58\u548c\u52a0\u8f7d\u6765\u5b9e\u73b0\u6a21\u578b\u7684\u590d\u7528\u548c\u90e8\u7f72\u3002\u6a21\u578b\u7684\u4fdd\u5b58\u53ef\u4ee5\u5c06\u6a21\u578b\u7684\u6743\u91cd\u3001\u53c2\u6570\u3001\u56fe\u7ed3\u6784\u7b49\u4fe1\u606f\u4fdd\u5b58\u5230\u6587\u4ef6\u4e2d\uff0c\u4ee5\u4fbf\u5728\u9700\u8981\u65f6\u53ef\u4ee5\u91cd\u65b0\u52a0\u8f7d\u548c\u4f7f\u7528\u3002\u6a21\u578b\u7684\u52a0\u8f7d\u53ef\u4ee5\u5c06\u4fdd\u5b58\u7684\u6a21\u578b\u6587\u4ef6\u52a0\u8f7d\u5230\u5185\u5b58\u4e2d\uff0c\u4ee5\u4fbf\u4e8e\u9884\u6d4b\u3001\u63a8\u7406\u548c\u90e8\u7f72\u3002<\/p>\n\n\n\n<p>\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\uff0c\u6f14\u793a\u5982\u4f55\u4fdd\u5b58\u548c\u52a0\u8f7d\u4e00\u4e2a\u7b80\u5355\u7684\u7ebf\u6027\u56de\u5f52\u6a21\u578b\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>import tensorflow as tf\n\n# \u6784\u5efa\u6a21\u578b\nmodel = tf.keras.Sequential([\n    tf.keras.layers.Dense(1, input_shape=(1,))\n])\n\n# \u7f16\u8bd1\u6a21\u578b\nmodel.compile(optimizer='sgd', loss='mse')\n\n# \u8bad\u7ec3\u6a21\u578b\nx_train = [1, 2, 3, 4, 5]\ny_train = [2, 4, 6, 8, 10]\nmodel.fit(x_train, y_train, epochs=10)\n\n# \u4fdd\u5b58\u6a21\u578b\nmodel.save('linear_regression.h5')\n\n# \u52a0\u8f7d\u6a21\u578b\nmodel = tf.keras.models.load_model('linear_regression.h5')\n\n# \u9884\u6d4b\nx_test = [6, 7, 8, 9, 10]\ny_test = model.predict(x_test)\nprint(y_test)\n<\/code><\/pre>\n\n\n\n<p>\u901a\u8fc7\u4ee5\u4e0a\u4ee3\u7801\uff0c\u53ef\u4ee5\u6784\u5efa\u4e00\u4e2a\u7b80\u5355\u7684\u7ebf\u6027\u56de\u5f52\u6a21\u578b\uff0c\u8bad\u7ec3\u5e76\u4fdd\u5b58\u6a21\u578b\uff0c\u7136\u540e\u52a0\u8f7d\u6a21\u578b\uff0c\u5e76\u7528\u4e8e\u9884\u6d4b\u3002\u5176\u4e2d\uff0c\u6a21\u578b\u7684\u4fdd\u5b58\u4f7f\u7528\u4e86<code>model.save<\/code>\u65b9\u6cd5\uff0c\u53ef\u4ee5\u5c06\u6a21\u578b\u4fdd\u5b58\u5230\u6307\u5b9a\u6587\u4ef6\u4e2d\u3002\u6a21\u578b\u7684\u52a0\u8f7d\u4f7f\u7528\u4e86<code>tf.keras.models.load_model<\/code>\u65b9\u6cd5\uff0c\u53ef\u4ee5\u4ece\u6307\u5b9a\u6587\u4ef6\u4e2d\u52a0\u8f7d\u6a21\u578b\u3002\u52a0\u8f7d\u6a21\u578b\u540e\uff0c\u53ef\u4ee5\u76f4\u63a5\u7528\u4e8e\u9884\u6d4b\uff0c\u65e0\u9700\u91cd\u65b0\u8bad\u7ec3\u6a21\u578b\u3002<\/p>\n\n\n\n<p>\u9700\u8981\u6ce8\u610f\u7684\u662f\uff0c\u6a21\u578b\u7684\u4fdd\u5b58\u548c\u52a0\u8f7d\u9700\u8981\u4fdd\u8bc1\u73af\u5883\u7684\u4e00\u81f4\u6027\uff0c\u5373\u5728\u4fdd\u5b58\u548c\u52a0\u8f7d\u6a21\u578b\u65f6\uff0c\u9700\u8981\u4f7f\u7528\u76f8\u540c\u7684TensorFlow\u7248\u672c\u548c\u76f8\u540c\u7684Python\u73af\u5883\u3002\u6b64\u5916\uff0c\u6a21\u578b\u7684\u4fdd\u5b58\u548c\u52a0\u8f7d\u4e5f\u53ef\u4ee5\u7528\u4e8e\u5728\u4e0d\u540c\u7684\u8bbe\u5907\u4e0a\u90e8\u7f72\u6a21\u578b\uff0c\u5982\u5728\u624b\u673a\u3001\u5d4c\u5165\u5f0f\u8bbe\u5907\u7b49\u4e0a\u8fd0\u884c\u6a21\u578b\uff0c\u4ee5\u4fbf\u4e8e\u5e94\u7528\u573a\u666f\u7684\u6269\u5c55\u548c\u63a8\u5e7f\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91ca\u4fdd\u5b58\u6a21\u578b\u6743\u91cd<\/p>\n\n\n\n<p>\u9664\u4e86\u4fdd\u5b58\u6574\u4e2a\u6a21\u578b\u5916\uff0c\u8fd8\u53ef\u4ee5\u4fdd\u5b58\u6a21\u578b\u7684\u6743\u91cd\uff0c\u5373\u5c06\u6a21\u578b\u7684\u53c2\u6570\u4fdd\u5b58\u5230\u6587\u4ef6\u4e2d\uff0c\u4ee5\u4fbf\u4e8e\u5728\u9700\u8981\u65f6\u53ef\u4ee5\u91cd\u65b0\u52a0\u8f7d\u6a21\u578b\u7684\u6743\u91cd\u3002\u6a21\u578b\u6743\u91cd\u7684\u4fdd\u5b58\u548c\u52a0\u8f7d\u53ef\u4ee5\u63d0\u9ad8\u6a21\u578b\u7684\u90e8\u7f72\u6548\u7387\u548c\u7075\u6d3b\u6027\uff0c\u907f\u514d\u91cd\u65b0\u8bad\u7ec3\u6a21\u578b\u7684\u7e41\u7410\u64cd\u4f5c\u3002<\/p>\n\n\n\n<p>\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\uff0c\u6f14\u793a\u5982\u4f55\u4fdd\u5b58\u548c\u52a0\u8f7d\u4e00\u4e2a\u7b80\u5355\u7684\u7ebf\u6027\u56de\u5f52\u6a21\u578b\u7684\u6743\u91cd\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>import tensorflow as tf\n\n# \u6784\u5efa\u6a21\u578b\nmodel = tf.keras.Sequential([\n    tf.keras.layers.Dense(1, input_shape=(1,))\n])\n\n# \u7f16\u8bd1\u6a21\u578b\nmodel.compile(optimizer='sgd', loss='mse')\n\n# \u8bad\u7ec3\u6a21\u578b\nx_train = [1, 2, 3, 4, 5]\ny_train = [2, 4, 6, 8, 10]\nmodel.fit(x_train, y_train, epochs=10)\n\n# \u4fdd\u5b58\u6743\u91cd\nmodel.save_weights('linear_regression_weights.h5')\n\n# \u52a0\u8f7d\u6743\u91cd\nmodel.load_weights('linear_regression_weights.h5')\n\n# \u9884\u6d4b\nx_test = [6, 7, 8, 9, 10]\ny_test = model.predict(x_test)\nprint(y_test)\n<\/code><\/pre>\n\n\n\n<p>\u901a\u8fc7\u4ee5\u4e0a\u4ee3\u7801\uff0c\u53ef\u4ee5\u6784\u5efa\u4e00\u4e2a\u7b80\u5355\u7684\u7ebf\u6027\u56de\u5f52\u6a21\u578b\uff0c\u8bad\u7ec3\u5e76\u4fdd\u5b58\u6a21\u578b\u7684\u6743\u91cd\uff0c\u7136\u540e\u52a0\u8f7d\u6a21\u578b\u7684\u6743\u91cd\uff0c\u5e76\u7528\u4e8e\u9884\u6d4b\u3002\u5176\u4e2d\uff0c\u6a21\u578b\u7684\u6743\u91cd\u4fdd\u5b58\u4f7f\u7528\u4e86<code>model.save_weights<\/code>\u65b9\u6cd5\uff0c\u53ef\u4ee5\u5c06\u6a21\u578b\u7684\u6743\u91cd\u4fdd\u5b58\u5230\u6307\u5b9a\u6587\u4ef6\u4e2d\u3002\u6a21\u578b\u7684\u6743\u91cd\u52a0\u8f7d\u4f7f\u7528\u4e86<code>model.load_weights<\/code>\u65b9\u6cd5\uff0c\u53ef\u4ee5\u4ece\u6307\u5b9a\u6587\u4ef6\u4e2d\u52a0\u8f7d\u6a21\u578b\u7684\u6743\u91cd\u3002\u52a0\u8f7d\u6743\u91cd\u540e\uff0c\u53ef\u4ee5\u76f4\u63a5\u7528\u4e8e\u9884\u6d4b\uff0c\u65e0\u9700\u91cd\u65b0\u8bad\u7ec3\u6a21\u578b\u3002<\/p>\n\n\n\n<p>\u9700\u8981\u6ce8\u610f\u7684\u662f\uff0c\u6a21\u578b\u6743\u91cd\u7684\u4fdd\u5b58\u548c\u52a0\u8f7d\u53ea\u4fdd\u5b58\u4e86\u6a21\u578b\u7684\u6743\u91cd\uff0c\u800c\u6ca1\u6709\u4fdd\u5b58\u6a21\u578b\u7684\u7ed3\u6784\uff0c\u56e0\u6b64\u5728\u52a0\u8f7d\u6743\u91cd\u65f6\uff0c\u9700\u8981\u5148\u6784\u5efa\u4e00\u4e2a\u4e0e\u4fdd\u5b58\u65f6\u7ed3\u6784\u76f8\u540c\u7684\u6a21\u578b\uff0c\u4ee5\u4fbf\u4e8e\u52a0\u8f7d\u6743\u91cd\u3002\u6b64\u5916\uff0c\u6a21\u578b\u6743\u91cd\u7684\u4fdd\u5b58\u548c\u52a0\u8f7d\u4e5f\u9700\u8981\u4fdd\u8bc1\u73af\u5883\u7684\u4e00\u81f4\u6027\uff0c\u5373\u5728\u4fdd\u5b58\u548c\u52a0\u8f7d\u6743\u91cd\u65f6\uff0c\u9700\u8981\u4f7f\u7528\u76f8\u540c\u7684TensorFlow\u7248\u672c\u548c\u76f8\u540c\u7684Python\u73af\u5883\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91ca\u52a0\u8f7d\u6a21\u578b\u6743\u91cd<\/p>\n\n\n\n<p>\u52a0\u8f7d\u6a21\u578b\u6743\u91cd\u53ef\u4ee5\u901a\u8fc7\u8c03\u7528<code>load_weights()<\/code>\u65b9\u6cd5\u5b9e\u73b0\u3002\u8be5\u65b9\u6cd5\u63a5\u6536\u4e00\u4e2a\u5305\u542b\u6a21\u578b\u6743\u91cd\u7684\u6587\u4ef6\u8def\u5f84\u6216\u4e00\u4e2a\u9884\u8bad\u7ec3\u6a21\u578b\u7684\u540d\u5b57\uff0c\u53ef\u4ee5\u5c06\u6a21\u578b\u7684\u6743\u91cd\u52a0\u8f7d\u5230\u6a21\u578b\u4e2d\u3002<\/p>\n\n\n\n<p>\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\uff0c\u6f14\u793a\u5982\u4f55\u52a0\u8f7d\u4e00\u4e2a\u5df2\u7ecf\u8bad\u7ec3\u597d\u7684\u6a21\u578b\u7684\u6743\u91cd\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>import tensorflow as tf\n\n# \u5b9a\u4e49\u6a21\u578b\u7ed3\u6784\nmodel = tf.keras.Sequential([\n    tf.keras.layers.Dense(64, activation='relu'),\n    tf.keras.layers.Dense(10, activation='softmax')\n])\n\n# \u52a0\u8f7d\u6743\u91cd\nmodel.load_weights('my_model_weights.h5')\n\n# \u8bc4\u4f30\u6a21\u578b\n(x_train, y_train), (x_test, y_test) = tf.keras.datasets.mnist.load_data()\nx_train = x_train.reshape((60000, 784)).astype('float32') \/ 255\nx_test = x_test.reshape((10000, 784)).astype('float32') \/ 255\nmodel.compile(optimizer='rmsprop',\n              loss='sparse_categorical_crossentropy',\n              metrics=['accuracy'])\nloss, accuracy = model.evaluate(x_test, y_test, verbose=0)\nprint('Accuracy:', accuracy)\n<\/code><\/pre>\n\n\n\n<p>\u5728\u4ee5\u4e0a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u5b9a\u4e49\u4e86\u4e00\u4e2a\u5305\u542b\u4e24\u4e2a\u5168\u8fde\u63a5\u5c42\u7684\u795e\u7ecf\u7f51\u7edc\uff0c\u5e76\u52a0\u8f7d\u4e86\u5df2\u7ecf\u8bad\u7ec3\u597d\u7684\u6743\u91cd\u6587\u4ef6<code>my_model_weights.h5<\/code>\u3002\u7136\u540e\uff0c\u6211\u4eec\u4f7f\u7528MNIST\u6570\u636e\u96c6\u8bc4\u4f30\u4e86\u8be5\u6a21\u578b\uff0c\u8f93\u51fa\u4e86\u6a21\u578b\u7684\u51c6\u786e\u7387\u3002<\/p>\n\n\n\n<p>\u9700\u8981\u6ce8\u610f\u7684\u662f\uff0c\u5728\u52a0\u8f7d\u6743\u91cd\u65f6\uff0c\u9700\u8981\u4fdd\u8bc1\u6a21\u578b\u7ed3\u6784\u7684\u4e00\u81f4\u6027\u3002\u5373\uff0c\u5f53\u6211\u4eec\u5b9a\u4e49\u4e00\u4e2a\u4e0e\u9884\u8bad\u7ec3\u6a21\u578b\u7ed3\u6784\u4e0d\u540c\u7684\u6a21\u578b\u65f6\uff0c\u6211\u4eec\u9700\u8981\u6839\u636e\u9884\u8bad\u7ec3\u6a21\u578b\u7684\u7ed3\u6784\uff0c\u5bf9\u65b0\u6a21\u578b\u7684\u7ed3\u6784\u8fdb\u884c\u8c03\u6574\uff0c\u4ee5\u4fbf\u4e8e\u52a0\u8f7d\u6743\u91cd\u3002\u53e6\u5916\uff0c\u4e5f\u9700\u8981\u4fdd\u8bc1\u52a0\u8f7d\u6743\u91cd\u7684\u6587\u4ef6\u4e0e\u9884\u8bad\u7ec3\u6a21\u578b\u7684\u73af\u5883\u548c\u7248\u672c\u76f8\u540c\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91ca\u6a21\u578b\u5bfc\u51fa\u4e0e\u5bfc\u5165<\/p>\n\n\n\n<p>\u6a21\u578b\u7684\u5bfc\u51fa\u548c\u5bfc\u5165\u662f\u5c06\u6a21\u578b\u4fdd\u5b58\u5230\u78c1\u76d8\u5e76\u5728\u9700\u8981\u65f6\u91cd\u65b0\u52a0\u8f7d\u7684\u8fc7\u7a0b\u3002\u901a\u8fc7\u5bfc\u51fa\u548c\u5bfc\u5165\u6a21\u578b\uff0c\u53ef\u4ee5\u4f7f\u8bad\u7ec3\u548c\u9884\u6d4b\u7684\u8fc7\u7a0b\u66f4\u52a0\u9ad8\u6548\u548c\u7075\u6d3b\u3002<\/p>\n\n\n\n<p>\u5728TensorFlow\u4e2d\uff0c\u53ef\u4ee5\u901a\u8fc7<code>tf.saved_model<\/code>\u6a21\u5757\u6765\u5bfc\u51fa\u548c\u5bfc\u5165\u6a21\u578b\u3002\u4e0b\u9762\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\uff0c\u6f14\u793a\u5982\u4f55\u5bfc\u51fa\u548c\u5bfc\u5165\u4e00\u4e2a\u7b80\u5355\u7684\u7ebf\u6027\u56de\u5f52\u6a21\u578b\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>import tensorflow as tf\n\n# \u6784\u5efa\u6a21\u578b\nmodel = tf.keras.Sequential([\n    tf.keras.layers.Dense(1, input_shape=(1,))\n])\n\n# \u7f16\u8bd1\u6a21\u578b\nmodel.compile(optimizer='sgd', loss='mse')\n\n# \u8bad\u7ec3\u6a21\u578b\nx_train = [1, 2, 3, 4, 5]\ny_train = [2, 4, 6, 8, 10]\nmodel.fit(x_train, y_train, epochs=10)\n\n# \u5bfc\u51fa\u6a21\u578b\nexport_path = '.\/saved_model'\ntf.saved_model.save(model, export_path)\n\n# \u52a0\u8f7d\u6a21\u578b\nloaded_model = tf.saved_model.load(export_path)\n\n# \u9884\u6d4b\nx_test = tf.convert_to_tensor([[6.0], [7.0], [8.0], [9.0], [10.0]])\ny_test = loaded_model(x_test)\nprint(y_test)\n<\/code><\/pre>\n\n\n\n<p>\u5728\u4ee5\u4e0a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u5b9a\u4e49\u4e86\u4e00\u4e2a\u7b80\u5355\u7684\u7ebf\u6027\u56de\u5f52\u6a21\u578b\uff0c\u5e76\u8bad\u7ec3\u4e8610\u4e2aepochs\u3002\u7136\u540e\uff0c\u6211\u4eec\u901a\u8fc7<code>tf.saved_model.save<\/code>\u65b9\u6cd5\u5c06\u6a21\u578b\u5bfc\u51fa\u5230\u6307\u5b9a\u8def\u5f84<code>.\/saved_model<\/code>\u4e0b\u3002\u6700\u540e\uff0c\u6211\u4eec\u4f7f\u7528<code>tf.saved_model.load<\/code>\u65b9\u6cd5\u52a0\u8f7d\u5bfc\u51fa\u7684\u6a21\u578b\uff0c\u5e76\u7528\u4e8e\u9884\u6d4b\u3002<\/p>\n\n\n\n<p>\u9700\u8981\u6ce8\u610f\u7684\u662f\uff0c\u5bfc\u51fa\u7684\u6a21\u578b\u5305\u542b\u4e86\u6a21\u578b\u7684\u6743\u91cd\u3001\u53c2\u6570\u3001\u56fe\u7ed3\u6784\u7b49\u4fe1\u606f\u3002\u5728\u52a0\u8f7d\u6a21\u578b\u65f6\uff0c\u53ef\u4ee5\u76f4\u63a5\u8c03\u7528\u52a0\u8f7d\u7684\u6a21\u578b\u8fdb\u884c\u9884\u6d4b\uff0c\u4e5f\u53ef\u4ee5\u901a\u8fc7\u8c03\u7528<code>loaded_model.signatures['serving_default']<\/code>\u65b9\u6cd5\u6765\u83b7\u53d6\u6a21\u578b\u7684\u9884\u6d4b\u51fd\u6570\u3002<\/p>\n\n\n\n<p>\u53e6\u5916\uff0c\u901a\u8fc7<code>tf.saved_model.save<\/code>\u65b9\u6cd5\u5bfc\u51fa\u7684\u6a21\u578b\u662f\u53ef\u4ee5\u8de8\u5e73\u53f0\u7684\uff0c\u53ef\u4ee5\u5728\u4e0d\u540c\u7684\u8bbe\u5907\u548c\u73af\u5883\u4e2d\u4f7f\u7528\uff0c\u5982\u5728\u79fb\u52a8\u8bbe\u5907\u3001\u6d4f\u89c8\u5668\u4e2d\u4f7f\u7528\uff0c\u4ee5\u5b9e\u73b0\u6a21\u578b\u7684\u66f4\u52a0\u9ad8\u6548\u7684\u90e8\u7f72\u548c\u5e94\u7528\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91caTensorFlow\u90e8\u7f72\u4e0e\u5e94\u7528TensorFlow Serving\u7b80\u4ecb<\/p>\n\n\n\n<p>TensorFlow Serving\u662f\u4e00\u4e2a\u5f00\u6e90\u7684TensorFlow\u6a21\u578b\u90e8\u7f72\u7cfb\u7edf\uff0c\u652f\u6301\u6a21\u578b\u7684\u5728\u7ebf\u90e8\u7f72\u548c\u670d\u52a1\uff0c\u53ef\u4ee5\u5feb\u901f\u5c06\u6a21\u578b\u90e8\u7f72\u5230\u751f\u4ea7\u73af\u5883\u4e2d\uff0c\u63d0\u4f9b\u9ad8\u6027\u80fd\u3001\u53ef\u4f38\u7f29\u3001\u6613\u4e8e\u7ba1\u7406\u7684\u6a21\u578b\u670d\u52a1\u3002<\/p>\n\n\n\n<p>TensorFlow Serving\u7684\u6838\u5fc3\u601d\u60f3\u662f\u5c06\u6a21\u578b\u7684\u751f\u547d\u5468\u671f\u5206\u4e3a\u4e24\u4e2a\u9636\u6bb5\uff1a\u6a21\u578b\u8bad\u7ec3\u548c\u6a21\u578b\u670d\u52a1\u3002\u5728\u8bad\u7ec3\u9636\u6bb5\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528TensorFlow\u6765\u8bad\u7ec3\u6a21\u578b\uff1b\u5728\u670d\u52a1\u9636\u6bb5\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528TensorFlow Serving\u6765\u90e8\u7f72\u548c\u670d\u52a1\u6a21\u578b\u3002\u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\uff0c\u6211\u4eec\u53ef\u4ee5\u5c06\u8bad\u7ec3\u548c\u670d\u52a1\u5206\u79bb\uff0c\u4ee5\u4fbf\u4e8e\u66f4\u52a0\u7075\u6d3b\u5730\u7ba1\u7406\u548c\u6269\u5c55\u6a21\u578b\u670d\u52a1\u3002<\/p>\n\n\n\n<p>TensorFlow Serving\u7684\u4e3b\u8981\u7279\u70b9\u5305\u62ec\uff1a<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u9ad8\u6027\u80fd\uff1aTensorFlow Serving\u4f7f\u7528\u9ad8\u6027\u80fd\u7684gRPC\u534f\u8bae\u6765\u63d0\u4f9b\u6a21\u578b\u670d\u52a1\uff0c\u53ef\u4ee5\u5b9e\u73b0\u9ad8\u541e\u5410\u91cf\u548c\u4f4e\u5ef6\u8fdf\u7684\u6a21\u578b\u670d\u52a1\u3002<\/li>\n\n\n\n<li>\u53ef\u4f38\u7f29\u6027\uff1aTensorFlow Serving\u53ef\u4ee5\u652f\u6301\u591a\u4e2a\u6a21\u578b\u7248\u672c\u548c\u591a\u4e2a\u670d\u52a1\u5b9e\u4f8b\uff0c\u5e76\u81ea\u52a8\u5904\u7406\u8d1f\u8f7d\u5747\u8861\u548c\u6545\u969c\u6062\u590d\u3002<\/li>\n\n\n\n<li>\u7075\u6d3b\u6027\uff1aTensorFlow Serving\u652f\u6301\u591a\u79cd\u6a21\u578b\u683c\u5f0f\u548c\u5e73\u53f0\uff0c\u53ef\u4ee5\u5feb\u901f\u90e8\u7f72\u548c\u670d\u52a1\u4e0d\u540c\u7684\u6a21\u578b\u7c7b\u578b\u548c\u5e94\u7528\u573a\u666f\u3002<\/li>\n\n\n\n<li>\u6613\u7528\u6027\uff1aTensorFlow Serving\u63d0\u4f9b\u4e86\u7b80\u5355\u6613\u7528\u7684API\u548c\u547d\u4ee4\u884c\u5de5\u5177\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u90e8\u7f72\u548c\u7ba1\u7406\u6a21\u578b\u670d\u52a1\u3002<\/li>\n<\/ul>\n\n\n\n<p>\u4e0b\u9762\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\uff0c\u6f14\u793a\u5982\u4f55\u4f7f\u7528TensorFlow Serving\u90e8\u7f72\u548c\u670d\u52a1\u4e00\u4e2a\u7b80\u5355\u7684\u7ebf\u6027\u56de\u5f52\u6a21\u578b\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u5b89\u88c5TensorFlow Serving\uff1a<\/li>\n<\/ol>\n\n\n\n<pre class=\"wp-block-preformatted\">shellCopy code<code>pip install tensorflow-serving-api\n<\/code><\/pre>\n\n\n\n<ol class=\"wp-block-list\" start=\"2\">\n<li>\u5bfc\u51fa\u6a21\u578b\uff1a<\/li>\n<\/ol>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>import tensorflow as tf\n\n# \u6784\u5efa\u6a21\u578b\nmodel = tf.keras.Sequential([\n    tf.keras.layers.Dense(1, input_shape=(1,))\n])\n\n# \u7f16\u8bd1\u6a21\u578b\nmodel.compile(optimizer='sgd', loss='mse')\n\n# \u8bad\u7ec3\u6a21\u578b\nx_train = [1, 2, 3, 4, 5]\ny_train = [2, 4, 6, 8, 10]\nmodel.fit(x_train, y_train, epochs=10)\n\n# \u5bfc\u51fa\u6a21\u578b\nexport_path = '.\/saved_model'\ntf.saved_model.save(model, export_path)\n<\/code><\/pre>\n\n\n\n<ol class=\"wp-block-list\" start=\"3\">\n<li>\u542f\u52a8TensorFlow Serving\u670d\u52a1\uff1a<\/li>\n<\/ol>\n\n\n\n<pre class=\"wp-block-preformatted\">shellCopy code<code>tensorflow_model_server --port=9000 --model_name=my_model --model_base_path=.\/saved_model\n<\/code><\/pre>\n\n\n\n<ol class=\"wp-block-list\" start=\"4\">\n<li>\u4f7f\u7528\u5ba2\u6237\u7aef\u8c03\u7528\u6a21\u578b\u670d\u52a1\uff1a<\/li>\n<\/ol>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>import tensorflow as tf\nfrom tensorflow_serving.apis import predict_pb2\nfrom tensorflow_serving.apis import prediction_service_pb2_grpc\n\n# \u5b9a\u4e49\u5ba2\u6237\u7aef\nchannel = tf.grpc.insecure_channel('localhost:9000')\nstub = prediction_service_pb2_grpc.PredictionServiceStub(channel)\n\n# \u6784\u5efa\u8bf7\u6c42\nrequest = predict_pb2.PredictRequest()\nrequest.model_spec.name = 'my_model'\nrequest.model_spec.signature_name = 'serving_default'\nrequest.inputs['dense_input'].CopyFrom(tf.make_tensor_proto([1.0]))\n\n# \u53d1\u9001\u8bf7\u6c42\nresult = stub.Predict(request, 10.0)\n\n# \u5904\u7406\u7ed3\u679c\nprint(result)\n<\/code><\/pre>\n\n\n\n<p>\u5728\u4ee5\u4e0a<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u7ee7\u7eed<\/p>\n\n\n\n<p>\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u4f7f\u7528TensorFlow\u8bad\u7ec3\u4e86\u4e00\u4e2a\u7b80\u5355\u7684\u7ebf\u6027\u56de\u5f52\u6a21\u578b\uff0c\u5e76\u5c06\u5176\u5bfc\u51fa\u5230<code>.\/saved_model<\/code>\u8def\u5f84\u4e0b\u3002\u7136\u540e\uff0c\u6211\u4eec\u4f7f\u7528<code>tensorflow_model_server<\/code>\u547d\u4ee4\u542f\u52a8\u4e86\u4e00\u4e2aTensorFlow Serving\u670d\u52a1\uff0c\u5c06\u5bfc\u51fa\u7684\u6a21\u578b\u4f5c\u4e3a<code>my_model<\/code>\u6a21\u578b\u7684\u7248\u672c\u52a0\u8f7d\u5230\u670d\u52a1\u4e2d\uff0c\u5e76\u5c06\u670d\u52a1\u7aef\u53e3\u8bbe\u7f6e\u4e3a<code>9000<\/code>\u3002<\/p>\n\n\n\n<p>\u6700\u540e\uff0c\u6211\u4eec\u4f7f\u7528TensorFlow Serving\u63d0\u4f9b\u7684\u5ba2\u6237\u7aefAPI\uff0c\u6784\u5efa\u4e86\u4e00\u4e2a\u8bf7\u6c42\u5bf9\u8c61\uff0c\u901a\u8fc7gRPC\u534f\u8bae\u5411\u670d\u52a1\u7aef\u53d1\u9001\u8bf7\u6c42\uff0c\u5e76\u83b7\u53d6\u4e86\u9884\u6d4b\u7ed3\u679c\u3002<\/p>\n\n\n\n<p>\u9700\u8981\u6ce8\u610f\u7684\u662f\uff0c\u8bf7\u6c42\u5bf9\u8c61\u4e2d\u7684<code>model_spec.name<\/code>\u53c2\u6570\u9700\u8981\u8bbe\u7f6e\u4e3a\u52a0\u8f7d\u7684\u6a21\u578b\u7684\u540d\u79f0\uff0c<code>model_spec.signature_name<\/code>\u53c2\u6570\u9700\u8981\u8bbe\u7f6e\u4e3a\u52a0\u8f7d\u7684\u6a21\u578b\u7684\u7b7e\u540d\u540d\u79f0\u3002\u53e6\u5916\uff0c\u8bf7\u6c42\u5bf9\u8c61\u4e2d\u7684<code>inputs<\/code>\u53c2\u6570\u9700\u8981\u8bbe\u7f6e\u4e3a\u6a21\u578b\u7684\u8f93\u5165\u5f20\u91cf\uff0c\u53ef\u4ee5\u4f7f\u7528<code>tf.make_tensor_proto<\/code>\u65b9\u6cd5\u5c06\u8f93\u5165\u6570\u636e\u8f6c\u6362\u4e3a<code>TensorProto<\/code>\u683c\u5f0f\u3002<\/p>\n\n\n\n<p>\u901a\u8fc7\u4ee5\u4e0a\u6b65\u9aa4\uff0c\u6211\u4eec\u53ef\u4ee5\u5feb\u901f\u5c06\u8bad\u7ec3\u597d\u7684\u6a21\u578b\u90e8\u7f72\u5230\u751f\u4ea7\u73af\u5883\u4e2d\uff0c\u5e76\u63d0\u4f9b\u9ad8\u6027\u80fd\u3001\u53ef\u4f38\u7f29\u3001\u6613\u4e8e\u7ba1\u7406\u7684\u6a21\u578b\u670d\u52a1\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91caTensorFlow\u90e8\u7f72\u4e0e\u5e94\u7528\u6a21\u578b\u90e8\u7f72<\/p>\n\n\n\n<p>\u6a21\u578b\u90e8\u7f72\u662f\u5c06\u8bad\u7ec3\u597d\u7684\u6a21\u578b\u90e8\u7f72\u5230\u751f\u4ea7\u73af\u5883\u4e2d\uff0c\u5e76\u63d0\u4f9b\u5b9e\u65f6\u7684\u3001\u53ef\u9760\u7684\u3001\u9ad8\u6027\u80fd\u7684\u9884\u6d4b\u670d\u52a1\u7684\u8fc7\u7a0b\u3002\u5728TensorFlow\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u591a\u79cd\u65b9\u6cd5\u6765\u90e8\u7f72\u548c\u5e94\u7528\u6a21\u578b\uff0c\u5982\u4f7f\u7528TensorFlow Serving\u3001\u4f7f\u7528Docker\u5bb9\u5668\u3001\u4f7f\u7528Kubernetes\u7b49\u3002<\/p>\n\n\n\n<p>\u4e0b\u9762\u4ecb\u7ecd\u4e24\u79cd\u5e38\u7528\u7684TensorFlow\u6a21\u578b\u90e8\u7f72\u65b9\u5f0f\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u4f7f\u7528TensorFlow Serving\uff1a<\/li>\n<\/ol>\n\n\n\n<p>TensorFlow Serving\u662f\u4e00\u4e2a\u5f00\u6e90\u7684TensorFlow\u6a21\u578b\u90e8\u7f72\u7cfb\u7edf\uff0c\u53ef\u4ee5\u5feb\u901f\u5c06\u6a21\u578b\u90e8\u7f72\u5230\u751f\u4ea7\u73af\u5883\u4e2d\uff0c\u5e76\u63d0\u4f9b\u9ad8\u6027\u80fd\u3001\u53ef\u4f38\u7f29\u3001\u6613\u4e8e\u7ba1\u7406\u7684\u6a21\u578b\u670d\u52a1\u3002\u4f7f\u7528TensorFlow Serving\u53ef\u4ee5\u5b9e\u73b0\u6a21\u578b\u7684\u5728\u7ebf\u90e8\u7f72\u548c\u670d\u52a1\uff0c\u652f\u6301\u591a\u4e2a\u6a21\u578b\u7248\u672c\u548c\u591a\u4e2a\u670d\u52a1\u5b9e\u4f8b\uff0c\u5e76\u81ea\u52a8\u5904\u7406\u8d1f\u8f7d\u5747\u8861\u548c\u6545\u969c\u6062\u590d\u3002\u5177\u4f53\u4f7f\u7528\u65b9\u6cd5\u8bf7\u53c2\u8003\u4e0a\u4e00\u95ee\u7684\u89e3\u7b54\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"2\">\n<li>\u4f7f\u7528Docker\u5bb9\u5668\uff1a<\/li>\n<\/ol>\n\n\n\n<p>Docker\u662f\u4e00\u79cd\u8f7b\u91cf\u7ea7\u7684\u5bb9\u5668\u5316\u6280\u672f\uff0c\u53ef\u4ee5\u5c06\u5e94\u7528\u7a0b\u5e8f\u548c\u6240\u6709\u4f9d\u8d56\u9879\u6253\u5305\u5230\u4e00\u4e2a\u72ec\u7acb\u7684\u5bb9\u5668\u4e2d\uff0c\u5e76\u5728\u4e0d\u540c\u7684\u73af\u5883\u4e2d\u8fd0\u884c\u3002\u4f7f\u7528Docker\u5bb9\u5668\u53ef\u4ee5\u65b9\u4fbf\u5730\u90e8\u7f72\u548c\u7ba1\u7406TensorFlow\u6a21\u578b\uff0c\u5e76\u5b9e\u73b0\u8de8\u5e73\u53f0\u548c\u8de8\u8bbe\u5907\u7684\u5e94\u7528\u3002<\/p>\n\n\n\n<p>\u5177\u4f53\u6b65\u9aa4\u5982\u4e0b\uff1a<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u7f16\u5199Dockerfile\u6587\u4ef6\uff0c\u5b9a\u4e49\u5bb9\u5668\u4e2d\u7684\u73af\u5883\u548c\u4f9d\u8d56\u9879\uff1a<\/li>\n<\/ul>\n\n\n\n<pre class=\"wp-block-preformatted\">bashCopy code<code>FROM tensorflow\/tensorflow:latest-py3\nWORKDIR \/app\nCOPY . \/app\nRUN pip install -r requirements.txt\nEXPOSE 5000\nCMD [\"python\", \"app.py\"]\n<\/code><\/pre>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u6784\u5efaDocker\u955c\u50cf\uff1a<\/li>\n<\/ul>\n\n\n\n<pre class=\"wp-block-preformatted\">perlCopy code<code>docker build -t my-model .\n<\/code><\/pre>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u542f\u52a8Docker\u5bb9\u5668\uff1a<\/li>\n<\/ul>\n\n\n\n<pre class=\"wp-block-preformatted\">arduinoCopy code<code>docker run -p 5000:5000 my-model\n<\/code><\/pre>\n\n\n\n<p>\u5728\u4ee5\u4e0a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u5b9a\u4e49\u4e86\u4e00\u4e2a\u57fa\u4e8eTensorFlow\u5b98\u65b9\u955c\u50cf\u7684Dockerfile\u6587\u4ef6\uff0c\u6307\u5b9a\u4e86\u5bb9\u5668\u7684\u5de5\u4f5c\u76ee\u5f55\u548c\u4f9d\u8d56\u9879\uff0c\u5e76\u5c06\u5e94\u7528\u7a0b\u5e8f\u590d\u5236\u5230\u5bb9\u5668\u4e2d\u3002\u7136\u540e\uff0c\u6211\u4eec\u4f7f\u7528<code>docker build<\/code>\u547d\u4ee4\u6784\u5efaDocker\u955c\u50cf\uff0c\u5e76\u4f7f\u7528<code>docker run<\/code>\u547d\u4ee4\u542f\u52a8Docker\u5bb9\u5668\u3002<\/p>\n\n\n\n<p>\u9700\u8981\u6ce8\u610f\u7684\u662f\uff0c<code>-p 5000:5000<\/code>\u53c2\u6570\u5c06\u5bb9\u5668\u5185\u90e8\u7684\u7aef\u53e35000\u6620\u5c04\u5230\u5bbf\u4e3b\u673a\u5668\u4e0a\u7684\u7aef\u53e35000\uff0c\u4ee5\u4fbf\u4e8e\u5728\u6d4f\u89c8\u5668\u4e2d\u8bbf\u95ee\u5e94\u7528\u7a0b\u5e8f\u3002\u53e6\u5916\uff0c\u9700\u8981\u5c06\u5e94\u7528\u7a0b\u5e8f\u6253\u5305\u6210\u4e00\u4e2a\u53ef\u6267\u884c\u6587\u4ef6\uff0c\u5e76\u5728Dockerfile\u6587\u4ef6\u4e2d\u6307\u5b9a\u542f\u52a8\u547d\u4ee4\u3002<\/p>\n\n\n\n<p>\u901a\u8fc7\u4ee5\u4e0a\u6b65\u9aa4\uff0c\u6211\u4eec\u53ef\u4ee5\u65b9\u4fbf\u5730\u5c06TensorFlow\u6a21\u578b\u6253\u5305\u6210Docker\u5bb9\u5668\uff0c\u5e76\u90e8\u7f72\u5230\u751f\u4ea7\u73af\u5883\u4e2d\uff0c\u4ee5\u5b9e\u73b0\u9ad8\u6548\u3001\u53ef\u9760\u7684\u6a21\u578b\u670d\u52a1\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91ca\u6a21\u578b\u5e94\u7528\u4e0e\u8c03\u7528<\/p>\n\n\n\n<p>\u6a21\u578b\u5e94\u7528\u4e0e\u8c03\u7528\u662f\u6307\u5c06\u8bad\u7ec3\u597d\u7684\u6a21\u578b\u5e94\u7528\u5230\u5b9e\u9645\u7684\u6570\u636e\u4e2d\uff0c\u8fdb\u884c\u9884\u6d4b\u3001\u5206\u7c7b\u3001\u56de\u5f52\u7b49\u4efb\u52a1\u7684\u8fc7\u7a0b\u3002\u5728TensorFlow\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u591a\u79cd\u65b9\u5f0f\u6765\u52a0\u8f7d\u548c\u8c03\u7528\u6a21\u578b\uff0c\u5982\u4f7f\u7528TensorFlow Serving\u3001\u4f7f\u7528Python API\u3001\u4f7f\u7528C++ API\u7b49\u3002<\/p>\n\n\n\n<p>\u4e0b\u9762\u4ecb\u7ecd\u4e00\u79cd\u5e38\u7528\u7684\u6a21\u578b\u8c03\u7528\u65b9\u5f0f\uff0c\u4f7f\u7528Python API\u8fdb\u884c\u6a21\u578b\u9884\u6d4b\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u52a0\u8f7d\u6a21\u578b\uff1a<\/li>\n<\/ol>\n\n\n\n<p>\u4f7f\u7528TensorFlow\u63d0\u4f9b\u7684<code>tf.saved_model.load<\/code>\u51fd\u6570\u52a0\u8f7d\u6a21\u578b\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">javaCopy code<code>import tensorflow as tf\n\nmodel = tf.saved_model.load(\".\/saved_model\")\n<\/code><\/pre>\n\n\n\n<ol class=\"wp-block-list\" start=\"2\">\n<li>\u51c6\u5907\u8f93\u5165\u6570\u636e\uff1a<\/li>\n<\/ol>\n\n\n\n<p>\u6839\u636e\u6a21\u578b\u7684\u8f93\u5165\u5f20\u91cf\uff0c\u51c6\u5907\u8f93\u5165\u6570\u636e\uff0c\u5e76\u5c06\u5176\u8f6c\u6362\u4e3a<code>TensorProto<\/code>\u683c\u5f0f\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">cssCopy code<code>import numpy as np\n\ninput_data = np.array([1.0, 2.0, 3.0], dtype=np.float32)\ninput_tensor = tf.make_tensor_proto(input_data, shape=[1, 3])\n<\/code><\/pre>\n\n\n\n<p>\u5728\u4ee5\u4e0a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u51c6\u5907\u4e86\u4e00\u4e2a\u957f\u5ea6\u4e3a3\u7684\u8f93\u5165\u5411\u91cf<code>[1.0, 2.0, 3.0]<\/code>\uff0c\u5e76\u5c06\u5176\u8f6c\u6362\u4e3a<code>TensorProto<\/code>\u683c\u5f0f\uff0c\u5176\u4e2d\u53c2\u6570<code>shape=[1, 3]<\/code>\u8868\u793a\u5c06\u8f93\u5165\u5411\u91cf\u8f6c\u6362\u4e3a\u4e00\u4e2a\u5f62\u72b6\u4e3a<code>(1, 3)<\/code>\u7684\u5f20\u91cf\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"3\">\n<li>\u8fdb\u884c\u9884\u6d4b\uff1a<\/li>\n<\/ol>\n\n\n\n<p>\u4f7f\u7528\u52a0\u8f7d\u7684\u6a21\u578b\u548c\u8f93\u5165\u6570\u636e\uff0c\u8c03\u7528\u6a21\u578b\u7684\u9884\u6d4b\u65b9\u6cd5\uff0c\u5e76\u83b7\u53d6\u9884\u6d4b\u7ed3\u679c\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">scssCopy code<code>output_dict = model(input_tensor)\noutput_data = output_dict[\"output_tensor\"].numpy()\n<\/code><\/pre>\n\n\n\n<p>\u5728\u4ee5\u4e0a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u901a\u8fc7\u8c03\u7528\u6a21\u578b\u7684\u65b9\u6cd5\uff0c\u4f20\u5165\u8f93\u5165\u5f20\u91cf\uff0c\u83b7\u53d6\u9884\u6d4b\u7ed3\u679c\u3002\u9700\u8981\u6ce8\u610f\u7684\u662f\uff0c<code>output_tensor<\/code>\u53c2\u6570\u9700\u8981\u6839\u636e\u6a21\u578b\u7684\u8f93\u51fa\u5f20\u91cf\u8fdb\u884c\u8bbe\u7f6e\u3002<\/p>\n\n\n\n<p>\u901a\u8fc7\u4ee5\u4e0a\u6b65\u9aa4\uff0c\u6211\u4eec\u53ef\u4ee5\u5feb\u901f\u52a0\u8f7d\u548c\u8c03\u7528\u8bad\u7ec3\u597d\u7684\u6a21\u578b\uff0c\u8fdb\u884c\u9884\u6d4b\u3001\u5206\u7c7b\u3001\u56de\u5f52\u7b49\u4efb\u52a1\uff0c\u5e76\u5c06\u5176\u5e94\u7528\u5230\u5b9e\u9645\u7684\u6570\u636e\u4e2d\u3002\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u8fd8\u53ef\u4ee5\u901a\u8fc7\u591a\u7ebf\u7a0b\u3001\u5206\u5e03\u5f0f\u3001GPU\u52a0\u901f\u7b49\u6280\u672f\uff0c\u8fdb\u4e00\u6b65\u63d0\u9ad8\u6a21\u578b\u7684\u6027\u80fd\u548c\u6548\u7387\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91caTensorFlow\u6027\u80fd\u4f18\u5316\u4e0eGPU\u52a0\u901f<\/p>\n\n\n\n<p>TensorFlow\u662f\u4e00\u79cd\u9ad8\u6548\u3001\u7075\u6d3b\u3001\u53ef\u6269\u5c55\u7684\u673a\u5668\u5b66\u4e60\u6846\u67b6\uff0c\u652f\u6301\u591a\u79cd\u6027\u80fd\u4f18\u5316\u548cGPU\u52a0\u901f\u6280\u672f\uff0c\u53ef\u4ee5\u5927\u5e45\u63d0\u5347\u6a21\u578b\u7684\u8bad\u7ec3\u548c\u9884\u6d4b\u901f\u5ea6\u3002<\/p>\n\n\n\n<p>\u4e0b\u9762\u4ecb\u7ecd\u4e00\u4e9b\u5e38\u7528\u7684TensorFlow\u6027\u80fd\u4f18\u5316\u548cGPU\u52a0\u901f\u6280\u672f\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u4f7f\u7528GPU\u52a0\u901f\uff1a<\/li>\n<\/ol>\n\n\n\n<p>TensorFlow\u652f\u6301GPU\u52a0\u901f\uff0c\u53ef\u4ee5\u4f7f\u7528GPU\u6765\u8fdb\u884c\u8ba1\u7b97\uff0c\u5927\u5e45\u63d0\u9ad8\u8bad\u7ec3\u548c\u9884\u6d4b\u901f\u5ea6\u3002\u5728\u4f7f\u7528GPU\u4e4b\u524d\uff0c\u9700\u8981\u5b89\u88c5\u76f8\u5e94\u7684GPU\u9a71\u52a8\u548cCUDA\u548ccuDNN\u7b49\u4f9d\u8d56\u5e93\uff0c\u5e76\u5c06TensorFlow\u7f16\u8bd1\u4e3aGPU\u7248\u672c\u3002<\/p>\n\n\n\n<p>\u4f7f\u7528GPU\u52a0\u901f\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u65b9\u6cd5\u5b9e\u73b0\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">luaCopy code<code>import tensorflow as tf\n\n# \u521b\u5efa\u4e00\u4e2aGPU\u8bbe\u5907\u5bf9\u8c61\ndevice = tf.device(\"gpu:0\")\n\n# \u5728GPU\u4e0a\u8fd0\u884c\u8ba1\u7b97\nwith device:\n    x = tf.constant([[1.0, 2.0], [3.0, 4.0]])\n    y = tf.constant([[5.0, 6.0], [7.0, 8.0]])\n    z = tf.matmul(x, y)\n<\/code><\/pre>\n\n\n\n<p>\u5728\u4ee5\u4e0a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u521b\u5efa\u4e86\u4e00\u4e2aGPU\u8bbe\u5907\u5bf9\u8c61\uff0c\u5e76\u4f7f\u7528<code>with device<\/code>\u8bed\u53e5\u5c06\u8ba1\u7b97\u8fd0\u884c\u5728GPU\u4e0a\u3002\u9700\u8981\u6ce8\u610f\u7684\u662f\uff0c<code>gpu:0<\/code>\u53c2\u6570\u8868\u793a\u4f7f\u7528\u7b2c\u4e00\u4e2aGPU\u8bbe\u5907\uff0c\u5982\u679c\u6709\u591a\u4e2aGPU\u8bbe\u5907\uff0c\u53ef\u4ee5\u4f7f\u7528<code>gpu:1<\/code>\u3001<code>gpu:2<\/code>\u7b49\u53c2\u6570\u8fdb\u884c\u6307\u5b9a\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"2\">\n<li>\u4f7f\u7528\u5206\u5e03\u5f0f\u8ba1\u7b97\uff1a<\/li>\n<\/ol>\n\n\n\n<p>TensorFlow\u652f\u6301\u5206\u5e03\u5f0f\u8ba1\u7b97\uff0c\u53ef\u4ee5\u5c06\u8ba1\u7b97\u4efb\u52a1\u5206\u53d1\u5230\u591a\u4e2a\u8ba1\u7b97\u8282\u70b9\u4e0a\uff0c\u4ee5\u63d0\u9ad8\u8ba1\u7b97\u901f\u5ea6\u548c\u5bb9\u9519\u6027\u3002\u5728\u4f7f\u7528\u5206\u5e03\u5f0f\u8ba1\u7b97\u4e4b\u524d\uff0c\u9700\u8981\u914d\u7f6e\u96c6\u7fa4\u53c2\u6570\u548c\u5206\u5e03\u5f0f\u7b56\u7565\uff0c\u5e76\u5c06\u6a21\u578b\u7684\u8ba1\u7b97\u56fe\u5206\u5272\u4e3a\u591a\u4e2a\u90e8\u5206\u3002<\/p>\n\n\n\n<p>\u4f7f\u7528\u5206\u5e03\u5f0f\u8ba1\u7b97\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u65b9\u6cd5\u5b9e\u73b0\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">makefileCopy code<code>import tensorflow as tf\n\n# \u914d\u7f6e\u96c6\u7fa4\u53c2\u6570\ncluster = tf.train.ClusterSpec({\"worker\": [\"localhost:2222\", \"localhost:2223\"]})\n\n# \u5b9a\u4e49\u5206\u5e03\u5f0f\u7b56\u7565\nstrategy = tf.distribute.experimental.MultiWorkerMirroredStrategy()\n\n# \u5b9a\u4e49\u6a21\u578b\u548c\u4f18\u5316\u5668\nwith strategy.scope():\n    model = tf.keras.Sequential([...])\n    optimizer = tf.keras.optimizers.Adam()\n\n# \u7f16\u8bd1\u6a21\u578b\nmodel.compile(optimizer=optimizer, loss=\"sparse_categorical_crossentropy\", metrics=[\"accuracy\"])\n\n# \u5b9a\u4e49\u8bad\u7ec3\u6570\u636e\u96c6\u548c\u9a8c\u8bc1\u6570\u636e\u96c6\ntrain_dataset = tf.data.Dataset.from_tensor_slices((train_images, train_labels)).shuffle(buffer_size=1024).batch(32)\nval_dataset = tf.data.Dataset.from_tensor_slices((test_images, test_labels)).batch(32)\n\n# \u8bad\u7ec3\u6a21\u578b\nmodel.fit(train_dataset, epochs=10, validation_data=val_dataset)\n<\/code><\/pre>\n\n\n\n<p>\u5728\u4ee5\u4e0a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u5b9a\u4e49\u4e86\u4e00\u4e2a\u5305\u542b\u4e24\u4e2a\u8282\u70b9\u7684\u96c6\u7fa4\uff0c\u7136\u540e\u4f7f\u7528<code>MultiWorkerMirroredStrategy<\/code>\u7b56\u7565\u5c06\u6a21\u578b\u590d\u5236\u5230\u591a\u4e2a\u8282\u70b9\u4e0a\u3002\u5728\u6a21\u578b\u7f16\u8bd1\u3001\u5b9a\u4e49\u6570\u636e\u96c6\u548c\u8bad\u7ec3\u65f6\uff0c\u9700\u8981\u4f7f\u7528<code>strategy.scope()<\/code>\u8bed\u53e5\u5c06\u8ba1\u7b97\u73af\u5883\u5207\u6362\u5230\u5206\u5e03\u5f0f\u7b56\u7565\u4e2d\u3002\u9700\u8981\u6ce8\u610f\u7684\u662f\uff0c<code>fit()<\/code>\u65b9\u6cd5\u4e2d\u7684<code>train_dataset<\/code>\u53c2\u6570\u548c<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u7ee7\u7eed<\/p>\n\n\n\n<p><code>val_dataset<\/code>\u53c2\u6570\u4f1a\u81ea\u52a8\u5206\u53d1\u5230\u5404\u4e2a\u8ba1\u7b97\u8282\u70b9\u4e0a\u8fdb\u884c\u8ba1\u7b97\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"3\">\n<li>\u4f7f\u7528TFRecord\u683c\u5f0f\uff1a<\/li>\n<\/ol>\n\n\n\n<p>\u5728TensorFlow\u4e2d\uff0c\u4f7f\u7528TFRecord\u683c\u5f0f\u53ef\u4ee5\u66f4\u9ad8\u6548\u5730\u5b58\u50a8\u548c\u8bfb\u53d6\u5927\u89c4\u6a21\u6570\u636e\u96c6\u3002TFRecord\u683c\u5f0f\u662f\u4e00\u79cd\u4e8c\u8fdb\u5236\u683c\u5f0f\uff0c\u53ef\u4ee5\u5c06\u591a\u4e2a\u6837\u672c\u6253\u5305\u4e3a\u4e00\u4e2a\u6587\u4ef6\uff0c\u4ee5\u63d0\u9ad8\u8bfb\u53d6\u901f\u5ea6\u548c\u51cf\u5c11\u78c1\u76d8IO\u3002TFRecord\u683c\u5f0f\u8fd8\u652f\u6301\u538b\u7f29\u3001\u591a\u7ebf\u7a0b\u8bfb\u53d6\u7b49\u529f\u80fd\u3002<\/p>\n\n\n\n<p>\u4f7f\u7528TFRecord\u683c\u5f0f\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u65b9\u6cd5\u5b9e\u73b0\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">scssCopy code<code>import tensorflow as tf\n\n# \u5b9a\u4e49\u6570\u636e\u8f6c\u6362\u51fd\u6570\ndef serialize_example(image, label):\n    feature = {\n        \"image\": tf.train.Feature(bytes_list=tf.train.BytesList(value=[image])),\n        \"label\": tf.train.Feature(int64_list=tf.train.Int64List(value=[label])),\n    }\n    example_proto = tf.train.Example(features=tf.train.Features(feature=feature))\n    return example_proto.SerializeToString()\n\n# \u5199\u5165\u6570\u636e\u5230TFRecord\u6587\u4ef6\nwith tf.io.TFRecordWriter(\"dataset.tfrecord\") as writer:\n    for image, label in dataset:\n        image_bytes = tf.io.serialize_tensor(image)\n        example_proto = serialize_example(image_bytes, label)\n        writer.write(example_proto)\n\n# \u8bfb\u53d6\u6570\u636e\u5e76\u89e3\u6790\u4e3aTensor\ndef parse_example(example_proto):\n    feature_description = {\n        \"image\": tf.io.FixedLenFeature([], tf.string),\n        \"label\": tf.io.FixedLenFeature([], tf.int64),\n    }\n    example = tf.io.parse_single_example(example_proto, feature_description)\n    image = tf.io.parse_tensor(example[\"image\"], tf.float32)\n    label = example[\"label\"]\n    return image, label\n\n# \u4eceTFRecord\u6587\u4ef6\u8bfb\u53d6\u6570\u636e\ndataset = tf.data.TFRecordDataset(\"dataset.tfrecord\").map(parse_example).batch(32)\n<\/code><\/pre>\n\n\n\n<p>\u5728\u4ee5\u4e0a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u5b9a\u4e49\u4e86\u4e00\u4e2a\u6570\u636e\u8f6c\u6362\u51fd\u6570<code>serialize_example()<\/code>\uff0c\u5c06\u56fe\u50cf\u548c\u6807\u7b7e\u6253\u5305\u4e3a\u4e00\u4e2aTFRecord\u683c\u5f0f\u7684\u6837\u672c\uff0c\u5e76\u4f7f\u7528<code>TFRecordWriter<\/code>\u5c06\u6837\u672c\u5199\u5165\u5230\u6587\u4ef6\u4e2d\u3002\u7136\u540e\u5b9a\u4e49\u4e86\u4e00\u4e2a\u6570\u636e\u89e3\u6790\u51fd\u6570<code>parse_example()<\/code>\uff0c\u5c06TFRecord\u683c\u5f0f\u7684\u6837\u672c\u89e3\u6790\u4e3a\u56fe\u50cf\u548c\u6807\u7b7eTensor\uff0c\u5e76\u4f7f\u7528<code>TFRecordDataset<\/code>\u4ece\u6587\u4ef6\u4e2d\u8bfb\u53d6\u6570\u636e\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"4\">\n<li>\u4f7f\u7528\u6570\u636e\u7ba1\u9053\uff1a<\/li>\n<\/ol>\n\n\n\n<p>\u5728TensorFlow\u4e2d\uff0c\u4f7f\u7528\u6570\u636e\u7ba1\u9053\u53ef\u4ee5\u66f4\u9ad8\u6548\u5730\u52a0\u8f7d\u548c\u9884\u5904\u7406\u6570\u636e\u96c6\u3002\u6570\u636e\u7ba1\u9053\u53ef\u4ee5\u81ea\u52a8\u8fdb\u884c\u591a\u7ebf\u7a0b\u3001\u9884\u53d6\u3001\u9884\u5904\u7406\u7b49\u64cd\u4f5c\uff0c\u5e76\u5c06\u6570\u636e\u6d41\u5f0f\u5730\u8f93\u5165\u5230\u6a21\u578b\u4e2d\u3002<\/p>\n\n\n\n<p>\u4f7f\u7528\u6570\u636e\u7ba1\u9053\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u65b9\u6cd5\u5b9e\u73b0\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">scssCopy code<code>import tensorflow as tf\n\n# \u52a0\u8f7d\u6570\u636e\u96c6\u5e76\u9884\u5904\u7406\ndef preprocess(image, label):\n    image = tf.image.resize(image, [224, 224])\n    image = tf.image.random_flip_left_right(image)\n    image = tf.image.per_image_standardization(image)\n    label = tf.one_hot(label, 10)\n    return image, label\n\n# \u5b9a\u4e49\u6570\u636e\u7ba1\u9053\ndataset = tf.keras.preprocessing.image_dataset_from_directory(\"data\/\", validation_split=0.2, subset=\"training\", seed=123, image_size=(224, 224), batch_size=32)\n\n# \u9884\u5904\u7406\u6570\u636e\u5e76\u589e\u52a0\u6570\u636e\u589e\u5f3a\ndataset = dataset.map(preprocess).cache().shuffle(buffer_size=1024).batch(32).prefetch(tf.data.AUTOTUNE)\n\n# \u8bad\u7ec3\u6a21\u578b\nmodel.fit(dataset, epochs=10, validation_data=validation_dataset)\n<\/code><\/pre>\n\n\n\n<p>\u5728\u4ee5\u4e0a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u4f7f\u7528`<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u7ee7\u7eed<\/p>\n\n\n\n<p>image_dataset_from_directory()<code>\u51fd\u6570\u52a0\u8f7d\u6570\u636e\u96c6\uff0c\u5e76\u4f7f\u7528<\/code>preprocess()<code>\u51fd\u6570\u8fdb\u884c\u6570\u636e\u9884\u5904\u7406\u3002\u7136\u540e\u4f7f\u7528<\/code>map()<code>\u65b9\u6cd5\u5c06\u6570\u636e\u7ba1\u9053\u5e94\u7528\u4e8e\u6570\u636e\u96c6\uff0c\u5e76\u4f7f\u7528<\/code>cache()<code>\u65b9\u6cd5\u7f13\u5b58\u6570\u636e\uff0c<\/code>shuffle()<code>\u65b9\u6cd5\u968f\u673a\u6253\u4e71\u6570\u636e\uff0c<\/code>batch()<code>\u65b9\u6cd5\u6279\u91cf\u5904\u7406\u6570\u636e\uff0c<\/code>prefetch()<code>\u65b9\u6cd5\u9884\u53d6\u6570\u636e\uff0c\u4ee5\u63d0\u9ad8\u6570\u636e\u7ba1\u9053\u7684\u6548\u7387\u3002\u6700\u540e\uff0c\u5c06\u6570\u636e\u7ba1\u9053\u4f5c\u4e3a\u8bad\u7ec3\u6570\u636e\u4f20\u9012\u7ed9\u6a21\u578b\u7684<\/code>fit()`\u65b9\u6cd5\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"5\">\n<li>\u4f7f\u7528TensorRT\u52a0\u901f\uff1a<\/li>\n<\/ol>\n\n\n\n<p>TensorRT\u662f\u82f1\u4f1f\u8fbe\uff08NVIDIA\uff09\u5f00\u53d1\u7684\u4e00\u4e2a\u7528\u4e8e\u9ad8\u6548\u90e8\u7f72\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u7684\u5e93\u3002TensorRT\u53ef\u4ee5\u5c06\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u8f6c\u6362\u4e3a\u9ad8\u6548\u7684\u63a8\u7406\u5f15\u64ce\uff0c\u5e76\u652f\u6301\u591a\u79cd\u786c\u4ef6\u52a0\u901f\u6280\u672f\uff0c\u5982GPU\u3001DPUs\u7b49\u3002<\/p>\n\n\n\n<p>\u4f7f\u7528TensorRT\u52a0\u901f\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u65b9\u6cd5\u5b9e\u73b0\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>import tensorflow as tf\nimport tensorflow.contrib.tensorrt as trt\n\n# \u52a0\u8f7d\u6a21\u578b\nmodel = tf.keras.models.load_model(\"model.h5\")\n\n# \u8f6c\u6362\u4e3aTensorRT\u683c\u5f0f\ntrt_graph = trt.create_inference_graph(\n    input_graph_def=None,\n    outputs=[model.output.op.name],\n    max_batch_size=32,\n    max_workspace_size_bytes=1 &lt;&lt; 30,\n    precision_mode=\"FP32\",\n    minimum_segment_size=3,\n)\n\n# \u5bfc\u51fa\u4e3apb\u6587\u4ef6\nwith open(\"model_trt.pb\", \"wb\") as f:\n    f.write(trt_graph.SerializeToString())\n\n# \u52a0\u8f7dTensorRT\u6a21\u578b\ntrt_engine = trt.create_inference_engine(trt_graph)\n<\/code><\/pre>\n\n\n\n<p>\u5728\u4ee5\u4e0a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u4f7f\u7528<code>load_model()<\/code>\u51fd\u6570\u52a0\u8f7d\u8bad\u7ec3\u597d\u7684\u6a21\u578b\uff0c\u5e76\u4f7f\u7528<code>create_inference_graph()<\/code>\u51fd\u6570\u5c06\u6a21\u578b\u8f6c\u6362\u4e3aTensorRT\u683c\u5f0f\u3002\u7136\u540e\u4f7f\u7528<code>SerializeToString()<\/code>\u65b9\u6cd5\u5c06TensorRT\u683c\u5f0f\u7684\u6a21\u578b\u5bfc\u51fa\u4e3apb\u6587\u4ef6\u3002\u6700\u540e\u4f7f\u7528<code>create_inference_engine()<\/code>\u51fd\u6570\u52a0\u8f7dTensorRT\u683c\u5f0f\u7684\u6a21\u578b\u3002<\/p>\n\n\n\n<p>\u9700\u8981\u6ce8\u610f\u7684\u662f\uff0c\u4f7f\u7528TensorRT\u52a0\u901f\u9700\u8981\u5b89\u88c5TensorRT\u5e93\uff0c\u5e76\u5c06TensorFlow\u7f16\u8bd1\u4e3a\u652f\u6301TensorRT\u7684\u7248\u672c\u3002TensorRT\u8fd8\u9700\u8981\u4e0e\u786c\u4ef6\u8fdb\u884c\u9002\u914d\uff0c\u5177\u4f53\u4f7f\u7528\u65b9\u6cd5\u548c\u6548\u679c\u4f1a\u6839\u636e\u786c\u4ef6\u548c\u6a21\u578b\u4e0d\u540c\u800c\u6709\u6240\u5dee\u5f02\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91ca\u6027\u80fd\u4f18\u5316\u65b9\u6cd5<\/p>\n\n\n\n<p>\u5728\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u8bad\u7ec3\u548c\u63a8\u7406\u8fc7\u7a0b\u4e2d\uff0c\u7531\u4e8e\u6a21\u578b\u7684\u590d\u6742\u6027\u548c\u6570\u636e\u91cf\u7684\u5de8\u5927\uff0c\u4f1a\u5bfc\u81f4\u8ba1\u7b97\u91cf\u548c\u5185\u5b58\u5360\u7528\u91cf\u975e\u5e38\u5927\uff0c\u4ece\u800c\u5f71\u54cd\u6a21\u578b\u7684\u8bad\u7ec3\u548c\u63a8\u7406\u901f\u5ea6\u3002\u4e3a\u4e86\u63d0\u9ad8\u6a21\u578b\u7684\u6027\u80fd\uff0c\u6211\u4eec\u53ef\u4ee5\u91c7\u7528\u4ee5\u4e0b\u65b9\u6cd5\u8fdb\u884c\u6027\u80fd\u4f18\u5316\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u6279\u91cf\u5904\u7406\u6570\u636e\uff1a<\/li>\n<\/ol>\n\n\n\n<p>\u5728\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u8bad\u7ec3\u548c\u63a8\u7406\u4e2d\uff0c\u6279\u91cf\u5904\u7406\u6570\u636e\u662f\u4e00\u79cd\u63d0\u9ad8\u8ba1\u7b97\u6548\u7387\u548c\u51cf\u5c11\u5185\u5b58\u5360\u7528\u7684\u91cd\u8981\u65b9\u6cd5\u3002\u901a\u8fc7\u5c06\u591a\u4e2a\u6570\u636e\u6837\u672c\u4e00\u8d77\u4f20\u5165\u6a21\u578b\u8fdb\u884c\u8ba1\u7b97\uff0c\u53ef\u4ee5\u51cf\u5c11\u8ba1\u7b97\u7684\u6b21\u6570\u548c\u5185\u5b58\u7684\u5360\u7528\u91cf\uff0c\u4ece\u800c\u63d0\u9ad8\u6a21\u578b\u7684\u8bad\u7ec3\u548c\u63a8\u7406\u901f\u5ea6\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"2\">\n<li>\u4f7f\u7528GPU\u52a0\u901f\uff1a<\/li>\n<\/ol>\n\n\n\n<p>\u5728\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u8bad\u7ec3\u548c\u63a8\u7406\u4e2d\uff0c\u4f7f\u7528GPU\u52a0\u901f\u662f\u4e00\u79cd\u63d0\u9ad8\u8ba1\u7b97\u6548\u7387\u7684\u91cd\u8981\u65b9\u6cd5\u3002\u7531\u4e8eGPU\u5177\u6709\u9ad8\u5e76\u884c\u8ba1\u7b97\u80fd\u529b\u548c\u5927\u89c4\u6a21\u5185\u5b58\u7b49\u4f18\u52bf\uff0c\u53ef\u4ee5\u66f4\u5feb\u5730\u8fdb\u884c\u77e9\u9635\u8ba1\u7b97\u548c\u6570\u636e\u5904\u7406\uff0c\u4ece\u800c\u63d0\u9ad8\u6a21\u578b\u7684\u8bad\u7ec3\u548c\u63a8\u7406\u901f\u5ea6\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"3\">\n<li>\u6a21\u578b\u526a\u679d\uff1a<\/li>\n<\/ol>\n\n\n\n<p>\u5728\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u8bad\u7ec3\u548c\u63a8\u7406\u4e2d\uff0c\u6a21\u578b\u526a\u679d\u662f\u4e00\u79cd\u51cf\u5c11\u8ba1\u7b97\u91cf\u548c\u5185\u5b58\u5360\u7528\u91cf\u7684\u91cd\u8981\u65b9\u6cd5\u3002\u901a\u8fc7\u5220\u9664\u6a21\u578b\u4e2d\u5197\u4f59\u7684\u6743\u91cd\u548c\u8fde\u63a5\uff0c\u53ef\u4ee5\u51cf\u5c11\u8ba1\u7b97\u7684\u6b21\u6570\u548c\u5185\u5b58\u7684\u5360\u7528\u91cf\uff0c\u4ece\u800c\u63d0\u9ad8\u6a21\u578b\u7684\u8bad\u7ec3\u548c\u63a8\u7406\u901f\u5ea6\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"4\">\n<li>\u6a21\u578b\u538b\u7f29\uff1a<\/li>\n<\/ol>\n\n\n\n<p>\u5728\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u8bad\u7ec3\u548c\u63a8\u7406\u4e2d\uff0c\u6a21\u578b\u538b\u7f29\u662f\u4e00\u79cd\u51cf\u5c11\u6a21\u578b\u5927\u5c0f\u548c\u5185\u5b58\u5360\u7528\u91cf\u7684\u91cd\u8981\u65b9\u6cd5\u3002\u901a\u8fc7\u4f7f\u7528\u6a21\u578b\u538b\u7f29\u7b97\u6cd5\uff0c\u5982\u4f4e\u79e9\u5206\u89e3\u3001\u91cf\u5316\u548c\u54c8\u5e0c\u7b49\u65b9\u6cd5\uff0c\u53ef\u4ee5\u51cf\u5c11\u6a21\u578b\u7684\u53c2\u6570\u6570\u91cf\u548c\u5185\u5b58\u5360\u7528\u91cf\uff0c\u4ece\u800c\u63d0\u9ad8\u6a21\u578b\u7684\u8bad\u7ec3\u548c\u63a8\u7406\u901f\u5ea6\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"5\">\n<li>\u5206\u5e03\u5f0f\u8bad\u7ec3\uff1a<\/li>\n<\/ol>\n\n\n\n<p>\u5728\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u8bad\u7ec3\u4e2d\uff0c\u4f7f\u7528\u5206\u5e03\u5f0f\u8bad\u7ec3\u662f\u4e00\u79cd\u63d0\u9ad8\u8ba1\u7b97\u6548\u7387\u548c\u51cf\u5c11\u8bad\u7ec3\u65f6\u95f4\u7684\u91cd\u8981\u65b9\u6cd5\u3002\u901a\u8fc7\u5c06\u6a21\u578b\u7684\u8bad\u7ec3\u4efb\u52a1\u5206\u914d\u7ed9\u591a\u4e2a\u8ba1\u7b97\u8282\u70b9\u8fdb\u884c\u5e76\u884c\u8ba1\u7b97\uff0c\u53ef\u4ee5\u51cf\u5c11\u8ba1\u7b97\u7684\u65f6\u95f4\u548c\u5185\u5b58\u5360\u7528\u91cf\uff0c\u4ece\u800c\u63d0\u9ad8\u6a21\u578b\u7684\u8bad\u7ec3\u901f\u5ea6\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"6\">\n<li>\u6570\u636e\u589e\u5f3a\uff1a<\/li>\n<\/ol>\n\n\n\n<p>\u5728\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u8bad\u7ec3\u4e2d\uff0c\u4f7f\u7528\u6570\u636e\u589e\u5f3a\u662f\u4e00\u79cd\u63d0\u9ad8\u6a21\u578b\u6027\u80fd\u548c\u6cdb\u5316\u80fd\u529b\u7684\u91cd\u8981\u65b9\u6cd5\u3002\u901a\u8fc7\u5bf9\u6570\u636e\u96c6\u8fdb\u884c\u968f\u673a\u88c1\u526a\u3001\u65cb\u8f6c\u3001\u7ffb\u8f6c\u3001\u7f29\u653e\u7b49\u53d8\u6362\u64cd\u4f5c\uff0c\u53ef\u4ee5\u589e\u52a0\u6570\u636e\u96c6\u7684\u591a\u6837\u6027\u548c\u6570\u91cf\uff0c\u4ece\u800c\u63d0\u9ad8\u6a21\u578b\u7684\u8bad\u7ec3\u6548\u679c\u548c\u6cdb\u5316\u80fd\u529b\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"7\">\n<li>\u7f13\u5b58\u6570\u636e\uff1a<\/li>\n<\/ol>\n\n\n\n<p>\u5728\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u8bad\u7ec3\u548c\u63a8\u7406\u4e2d\uff0c<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u7ee7\u7eed<\/p>\n\n\n\n<p>\u7f13\u5b58\u6570\u636e\u662f\u4e00\u79cd\u51cf\u5c11\u8bfb\u5199\u78c1\u76d8\u548c\u7f51\u7edc\u5ef6\u8fdf\u7684\u91cd\u8981\u65b9\u6cd5\u3002\u901a\u8fc7\u5c06\u6570\u636e\u96c6\u52a0\u8f7d\u5230\u5185\u5b58\u4e2d\uff0c\u5e76\u5c06\u6570\u636e\u8fdb\u884c\u7f13\u5b58\uff0c\u53ef\u4ee5\u51cf\u5c11\u8bfb\u5199\u78c1\u76d8\u548c\u7f51\u7edc\u5ef6\u8fdf\u7684\u6b21\u6570\u548c\u65f6\u95f4\uff0c\u4ece\u800c\u63d0\u9ad8\u6570\u636e\u5904\u7406\u7684\u901f\u5ea6\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"8\">\n<li>\u5206\u5e03\u5f0f\u63a8\u7406\uff1a<\/li>\n<\/ol>\n\n\n\n<p>\u5728\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u63a8\u7406\u4e2d\uff0c\u4f7f\u7528\u5206\u5e03\u5f0f\u63a8\u7406\u662f\u4e00\u79cd\u63d0\u9ad8\u8ba1\u7b97\u6548\u7387\u548c\u51cf\u5c11\u63a8\u7406\u65f6\u95f4\u7684\u91cd\u8981\u65b9\u6cd5\u3002\u901a\u8fc7\u5c06\u6a21\u578b\u7684\u63a8\u7406\u4efb\u52a1\u5206\u914d\u7ed9\u591a\u4e2a\u8ba1\u7b97\u8282\u70b9\u8fdb\u884c\u5e76\u884c\u8ba1\u7b97\uff0c\u53ef\u4ee5\u51cf\u5c11\u8ba1\u7b97\u7684\u65f6\u95f4\u548c\u5185\u5b58\u5360\u7528\u91cf\uff0c\u4ece\u800c\u63d0\u9ad8\u6a21\u578b\u7684\u63a8\u7406\u901f\u5ea6\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"9\">\n<li>\u4f7f\u7528TensorRT\u52a0\u901f\uff1a<\/li>\n<\/ol>\n\n\n\n<p>\u5728\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u63a8\u7406\u4e2d\uff0c\u4f7f\u7528TensorRT\u52a0\u901f\u662f\u4e00\u79cd\u63d0\u9ad8\u8ba1\u7b97\u6548\u7387\u548c\u51cf\u5c11\u63a8\u7406\u65f6\u95f4\u7684\u91cd\u8981\u65b9\u6cd5\u3002\u901a\u8fc7\u5c06\u6a21\u578b\u8f6c\u6362\u4e3aTensorRT\u683c\u5f0f\uff0c\u5e76\u4f7f\u7528TensorRT\u7684\u9ad8\u6548\u63a8\u7406\u5f15\u64ce\u8fdb\u884c\u8ba1\u7b97\uff0c\u53ef\u4ee5\u51cf\u5c11\u8ba1\u7b97\u7684\u65f6\u95f4\u548c\u5185\u5b58\u5360\u7528\u91cf\uff0c\u4ece\u800c\u63d0\u9ad8\u6a21\u578b\u7684\u63a8\u7406\u901f\u5ea6\u3002<\/p>\n\n\n\n<p>\u4ee5\u4e0a\u662f\u4e00\u4e9b\u5e38\u89c1\u7684\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u6027\u80fd\u4f18\u5316\u65b9\u6cd5\uff0c\u5b9e\u9645\u5e94\u7528\u65f6\u9700\u8981\u6839\u636e\u5177\u4f53\u60c5\u51b5\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u8fdb\u884c\u4f18\u5316\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91ca\u4f7f\u7528GPU\u8fdb\u884c\u52a0\u901f<\/p>\n\n\n\n<p>GPU\u52a0\u901f\u662f\u6df1\u5ea6\u5b66\u4e60\u8bad\u7ec3\u548c\u63a8\u7406\u4e2d\u5e38\u7528\u7684\u4e00\u79cd\u6027\u80fd\u4f18\u5316\u65b9\u6cd5\uff0c\u5176\u4e3b\u8981\u539f\u56e0\u662fGPU\u76f8\u6bd4\u4e8eCPU\u5177\u6709\u66f4\u9ad8\u7684\u5e76\u884c\u8ba1\u7b97\u80fd\u529b\u548c\u66f4\u5927\u7684\u5185\u5b58\u5e26\u5bbd\u3002\u5728\u6df1\u5ea6\u5b66\u4e60\u4e2d\uff0c\u4e3b\u8981\u7684\u8ba1\u7b97\u4efb\u52a1\u662f\u77e9\u9635\u4e58\u6cd5\u548c\u5377\u79ef\u8fd0\u7b97\uff0c\u8fd9\u4e9b\u8ba1\u7b97\u4efb\u52a1\u53ef\u4ee5\u88ab\u9ad8\u6548\u5730\u5e76\u884c\u5316\uff0c\u800cGPU\u7684\u5927\u91cf\u8ba1\u7b97\u6838\u5fc3\u53ef\u4ee5\u5b9e\u73b0\u9ad8\u6548\u7684\u5e76\u884c\u8ba1\u7b97\uff0c\u4ece\u800c\u52a0\u901f\u6a21\u578b\u7684\u8bad\u7ec3\u548c\u63a8\u7406\u3002<\/p>\n\n\n\n<p>\u4f7f\u7528GPU\u8fdb\u884c\u52a0\u901f\u7684\u6b65\u9aa4\u5982\u4e0b\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u5b89\u88c5GPU\u9a71\u52a8\u548cCUDA\uff1a<\/li>\n<\/ol>\n\n\n\n<p>\u9996\u5148\u9700\u8981\u5b89\u88c5GPU\u9a71\u52a8\u548cCUDA\uff08Compute Unified Device Architecture\uff09\u5de5\u5177\u5305\uff0c\u8fd9\u662f\u4f7f\u7528GPU\u8fdb\u884c\u8ba1\u7b97\u7684\u57fa\u672c\u73af\u5883\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"2\">\n<li>\u5b89\u88c5cuDNN\uff1a<\/li>\n<\/ol>\n\n\n\n<p>cuDNN\u662fNVIDIA\u63d0\u4f9b\u7684\u6df1\u5ea6\u5b66\u4e60\u8ba1\u7b97\u5e93\uff0c\u63d0\u4f9b\u4e86\u9ad8\u6548\u7684\u5377\u79ef\u548c\u5faa\u73af\u795e\u7ecf\u7f51\u7edc\u8ba1\u7b97\u7b49\u529f\u80fd\uff0c\u9700\u8981\u6839\u636eCUDA\u7248\u672c\u5b89\u88c5\u5bf9\u5e94\u7684cuDNN\u7248\u672c\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"3\">\n<li>\u4f7f\u7528TensorFlow-GPU\uff1a<\/li>\n<\/ol>\n\n\n\n<p>\u5b89\u88c5\u597dGPU\u76f8\u5173\u7684\u73af\u5883\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528TensorFlow-GPU\u7248\u672c\u8fdb\u884c\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u7684\u8bad\u7ec3\u548c\u63a8\u7406\u3002TensorFlow-GPU\u7248\u672c\u662f\u4e13\u95e8\u9488\u5bf9GPU\u8fdb\u884c\u4f18\u5316\u7684\u7248\u672c\uff0c\u53ef\u4ee5\u5b9e\u73b0\u66f4\u5feb\u7684\u6a21\u578b\u8bad\u7ec3\u548c\u63a8\u7406\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"4\">\n<li>\u5728\u4ee3\u7801\u4e2d\u6307\u5b9aGPU\u4f7f\u7528\uff1a<\/li>\n<\/ol>\n\n\n\n<p>\u5728TensorFlow\u4e2d\uff0c\u53ef\u4ee5\u901a\u8fc7\u5728\u4ee3\u7801\u4e2d\u6307\u5b9a\u4f7f\u7528\u54ea\u4e2aGPU\u8bbe\u5907\u6765\u5b9e\u73b0GPU\u52a0\u901f\u3002\u53ef\u4ee5\u4f7f\u7528<code>tf.config.list_physical_devices('GPU')<\/code>\u67e5\u770b\u53ef\u7528\u7684GPU\u8bbe\u5907\uff0c\u7136\u540e\u4f7f\u7528<code>tf.config.set_visible_devices<\/code>\u548c<code>tf.config.experimental.set_memory_growth<\/code>\u6765\u6307\u5b9a\u4f7f\u7528\u54ea\u4e2aGPU\u8bbe\u5907\u5e76\u8bbe\u7f6e\u5185\u5b58\u589e\u957f\u7b56\u7565\u3002<\/p>\n\n\n\n<p>\u4f7f\u7528GPU\u8fdb\u884c\u52a0\u901f\u53ef\u4ee5\u5927\u5927\u7f29\u77ed\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u7684\u8bad\u7ec3\u548c\u63a8\u7406\u65f6\u95f4\uff0c\u4f46\u9700\u8981\u6ce8\u610f\u7684\u662f\uff0cGPU\u52a0\u901f\u4f1a\u5360\u7528\u5927\u91cf\u7684\u663e\u5b58\uff0c\u9700\u8981\u6839\u636e\u663e\u5361\u7684\u663e\u5b58\u5bb9\u91cf\u548c\u6a21\u578b\u7684\u5927\u5c0f\u6765\u786e\u5b9a\u5408\u9002\u7684\u6279\u91cf\u5927\u5c0f\u548c\u6a21\u578b\u89c4\u6a21\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=96&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91ca\u4f7f\u7528\u5206\u5e03\u5f0f\u8ba1\u7b97<\/p>\n\n\n\n<p>\u4f7f\u7528\u5206\u5e03\u5f0f\u8ba1\u7b97\u662f\u63d0\u9ad8\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u8bad\u7ec3\u548c\u63a8\u7406\u6548\u7387\u7684\u4e00\u79cd\u5e38\u7528\u65b9\u6cd5\uff0c\u5176\u4e3b\u8981\u539f\u56e0\u662f\u5c06\u8ba1\u7b97\u4efb\u52a1\u5206\u5e03\u5230\u591a\u4e2a\u8ba1\u7b97\u8282\u70b9\u8fdb\u884c\u5e76\u884c\u8ba1\u7b97\u53ef\u4ee5\u5927\u5927\u7f29\u77ed\u8ba1\u7b97\u65f6\u95f4\uff0c\u4ece\u800c\u63d0\u9ad8\u6a21\u578b\u8bad\u7ec3\u548c\u63a8\u7406\u7684\u6548\u7387\u3002<\/p>\n\n\n\n<p>\u4f7f\u7528\u5206\u5e03\u5f0f\u8ba1\u7b97\u7684\u6b65\u9aa4\u5982\u4e0b\uff1a<\/p>\n\n\n\n<ol 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start=\"3\">\n<li>\u4f7f\u7528\u5206\u5e03\u5f0f\u6570\u636e\u8f93\u5165\uff1a<\/li>\n<\/ol>\n\n\n\n<p>\u5728\u5206\u5e03\u5f0f\u8bad\u7ec3\u4e2d\uff0c\u6570\u636e\u8f93\u5165\u4e5f\u9700\u8981\u8fdb\u884c\u5206\u5e03\u5f0f\u5904\u7406\u3002\u53ef\u4ee5\u4f7f\u7528TensorFlow\u7684\u5206\u5e03\u5f0f\u6570\u636e\u8f93\u5165\u6a21\u5757<code>tf.data.experimental.CsvDataset<\/code>\u7b49\u6765\u5b9e\u73b0\u5206\u5e03\u5f0f\u6570\u636e\u8f93\u5165\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"4\">\n<li>\u542f\u52a8\u5206\u5e03\u5f0f\u8bad\u7ec3\uff1a<\/li>\n<\/ol>\n\n\n\n<p>\u542f\u52a8\u5206\u5e03\u5f0f\u8bad\u7ec3\u524d\uff0c\u9700\u8981\u5148\u5728\u6240\u6709\u8ba1\u7b97\u8282\u70b9\u4e0a\u5b89\u88c5\u76f8\u540c\u7248\u672c\u7684TensorFlow\uff0c\u5e76\u5c06\u8bad\u7ec3\u811a\u672c\u548c\u6570\u636e\u590d\u5236\u5230\u6bcf\u4e2a\u8ba1\u7b97\u8282\u70b9\u4e0a\u3002\u7136\u540e\u5728\u4e00\u4e2a\u8ba1\u7b97\u8282\u70b9\u4e0a\u542f\u52a8\u8bad\u7ec3\u811a\u672c\uff0c\u6307\u5b9a\u8be5\u8282\u70b9\u4e3amaster\u8282\u70b9\uff0c\u5176\u4f59\u8282\u70b9\u4e3aworker\u8282\u70b9\uff0c\u5373\u53ef\u5f00\u59cb\u5206\u5e03\u5f0f\u8bad\u7ec3\u3002<\/p>\n\n\n\n<p>\u4f7f\u7528\u5206\u5e03\u5f0f\u8ba1\u7b97\u53ef\u4ee5\u5927\u5927\u52a0\u901f\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u7684\u8bad\u7ec3\u548c\u63a8\u7406\u8fc7\u7a0b\uff0c\u4f46\u9700\u8981\u6ce8\u610f\u7684\u662f\uff0c\u5728\u5206\u5e03\u5f0f\u8ba1\u7b97\u4e2d\uff0c\u6570\u636e\u901a\u4fe1\u548c\u540c\u6b65\u4f1a\u5e26\u6765\u989d\u5916\u7684\u8ba1\u7b97\u548c\u901a\u4fe1\u5f00\u9500\uff0c\u9700\u8981\u6839\u636e\u5177\u4f53\u60c5\u51b5\u9009\u62e9\u5408\u9002\u7684\u5206\u5e03\u5f0f\u8bad\u7ec3\u7b56\u7565\u548c\u53c2\u6570\u6765\u4f18\u5316\u8ba1\u7b97\u6548\u7387\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u6211\u662f\u8981\u505aIT\u6559\u7a0b\u7684\u89c6\u9891\uff0c\u4f60\u80fd\u5426\u6839\u636e\u7f51\u7ad9\u7684 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