{"id":951226,"date":"2024-12-27T00:54:34","date_gmt":"2024-12-26T16:54:34","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/951226.html"},"modified":"2024-12-27T00:54:37","modified_gmt":"2024-12-26T16:54:37","slug":"python%e5%a6%82%e4%bd%95%e6%90%ad%e5%bb%bakeras","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/951226.html","title":{"rendered":"python\u5982\u4f55\u642d\u5efakeras"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25085517\/3df5a463-6294-4486-8fea-8aab46cdd551.webp\" alt=\"python\u5982\u4f55\u642d\u5efakeras\" \/><\/p>\n<p><p> \u5f00\u5934\u6bb5\u843d\uff1a<br \/><strong>\u642d\u5efaKeras\u73af\u5883\u7684\u6b65\u9aa4\u5305\u62ec\u5b89\u88c5Python\u3001\u5b89\u88c5Keras\u548cTensorFlow\u3001\u914d\u7f6e\u865a\u62df\u73af\u5883\u3001\u6d4b\u8bd5\u5b89\u88c5\u662f\u5426\u6210\u529f<\/strong>\u3002\u9996\u5148\uff0c\u5b89\u88c5Python\u662f\u642d\u5efaKeras\u7684\u57fa\u7840\uff0c\u5efa\u8bae\u4f7f\u7528Python 3.6\u6216\u4ee5\u4e0a\u7248\u672c\u3002\u5176\u6b21\uff0cKeras\u9700\u8981\u4f9d\u8d56TensorFlow\u4f5c\u4e3a\u540e\u7aef\uff0c\u56e0\u6b64\u5728\u5b89\u88c5Keras\u4e4b\u524d\uff0c\u9700\u8981\u786e\u4fddTensorFlow\u5df2\u7ecf\u6b63\u786e\u5b89\u88c5\u3002\u7136\u540e\uff0c\u4f7f\u7528\u865a\u62df\u73af\u5883\u53ef\u4ee5\u6709\u6548\u5730\u7ba1\u7406Python\u5305\u7684\u7248\u672c\u548c\u4f9d\u8d56\u5173\u7cfb\uff0c\u907f\u514d\u4e0e\u5176\u4ed6\u9879\u76ee\u7684\u51b2\u7a81\u3002\u6700\u540e\uff0c\u901a\u8fc7\u7f16\u5199\u7b80\u5355\u7684Keras\u811a\u672c\u6d4b\u8bd5\u5b89\u88c5\u662f\u5426\u6210\u529f\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u8fd9\u4e9b\u6b65\u9aa4\u3002<\/p>\n<\/p>\n<p><p>\u4e00\u3001\u5b89\u88c5Python<\/p>\n<\/p>\n<p><p>\u5b89\u88c5Python\u662f\u642d\u5efaKeras\u73af\u5883\u7684\u7b2c\u4e00\u6b65\u3002Python\u662f\u4e00\u79cd\u5e7f\u6cdb\u4f7f\u7528\u7684\u7f16\u7a0b\u8bed\u8a00\uff0c\u652f\u6301\u591a\u79cd\u7f16\u7a0b\u8303\u5f0f\u3002\u8981\u5b89\u88c5Python\uff0c\u53ef\u4ee5\u8bbf\u95eePython\u7684\u5b98\u65b9\u7f51\u7ad9\uff0c\u4e0b\u8f7d\u6700\u65b0\u7248\u672c\u7684\u5b89\u88c5\u5305\u3002\u5efa\u8bae\u9009\u62e9Python 3.6\u6216\u4ee5\u4e0a\u7248\u672c\uff0c\u56e0\u4e3aKeras\u548cTensorFlow\u5728\u8fd9\u4e9b\u7248\u672c\u4e0a\u63d0\u4f9b\u4e86\u66f4\u597d\u7684\u652f\u6301\u548c\u517c\u5bb9\u6027\u3002\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u53ef\u4ee5\u901a\u8fc7\u547d\u4ee4\u884c\u8f93\u5165<code>python --version<\/code>\u6765\u68c0\u67e5\u5b89\u88c5\u662f\u5426\u6210\u529f\u3002<\/p>\n<\/p>\n<p><p>\u4e8c\u3001\u5b89\u88c5TensorFlow<\/p>\n<\/p>\n<p><p>Keras\u9700\u8981\u4f9d\u8d56TensorFlow\u4f5c\u4e3a\u5176\u8ba1\u7b97\u540e\u7aef\uff0c\u56e0\u6b64\u5728\u5b89\u88c5Keras\u4e4b\u524d\uff0c\u5fc5\u987b\u5148\u5b89\u88c5TensorFlow\u3002TensorFlow\u662f\u4e00\u4e2a\u5f00\u6e90\u7684<a href=\"https:\/\/docs.pingcode.com\/ask\/59192.html\" target=\"_blank\">\u673a\u5668\u5b66\u4e60<\/a>\u6846\u67b6\uff0c\u652f\u6301\u6df1\u5ea6\u5b66\u4e60\u548c\u795e\u7ecf\u7f51\u7edc\u7684\u6784\u5efa\u3002\u5b89\u88c5TensorFlow\u53ef\u4ee5\u4f7f\u7528Python\u7684\u5305\u7ba1\u7406\u5de5\u5177pip\u3002\u5728\u547d\u4ee4\u884c\u4e2d\u8f93\u5165<code>pip install tensorflow<\/code>\u5373\u53ef\u5b89\u88c5\u6700\u65b0\u7248\u672c\u7684TensorFlow\u3002\u5982\u679c\u9700\u8981\u7279\u5b9a\u7248\u672c\uff0c\u53ef\u4ee5\u5728\u547d\u4ee4\u4e2d\u6307\u5b9a\u7248\u672c\u53f7\uff0c\u4f8b\u5982<code>pip install tensorflow==2.4.0<\/code>\u3002<\/p>\n<\/p>\n<p><p>\u4e09\u3001\u5b89\u88c5Keras<\/p>\n<\/p>\n<p><p>\u5728\u6210\u529f\u5b89\u88c5TensorFlow\u4e4b\u540e\uff0c\u5c31\u53ef\u4ee5\u5b89\u88c5Keras\u4e86\u3002Keras\u662f\u4e00\u4e2a\u9ad8\u5c42\u795e\u7ecf\u7f51\u7edcAPI\uff0c\u4f7f\u7528Python\u7f16\u5199\uff0c\u5e76\u80fd\u591f\u8fd0\u884c\u5728TensorFlow\u4e4b\u4e0a\u3002\u5b89\u88c5Keras\u540c\u6837\u53ef\u4ee5\u4f7f\u7528pip\u5de5\u5177\u3002\u5728\u547d\u4ee4\u884c\u4e2d\u8f93\u5165<code>pip install keras<\/code>\u5373\u53ef\u5b8c\u6210\u5b89\u88c5\u3002\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u53ef\u4ee5\u901a\u8fc7<code>pip show keras<\/code>\u547d\u4ee4\u67e5\u770bKeras\u7684\u7248\u672c\u4fe1\u606f\u548c\u5b89\u88c5\u4f4d\u7f6e\u3002<\/p>\n<\/p>\n<p><p>\u56db\u3001\u914d\u7f6e\u865a\u62df\u73af\u5883<\/p>\n<\/p>\n<p><p>\u4f7f\u7528\u865a\u62df\u73af\u5883\u53ef\u4ee5\u9694\u79bbPython\u9879\u76ee\u7684\u4f9d\u8d56\uff0c\u907f\u514d\u4e0d\u540c\u9879\u76ee\u4e4b\u95f4\u7684\u5305\u7248\u672c\u51b2\u7a81\u3002Python\u81ea\u5e26\u7684<code>venv<\/code>\u6a21\u5757\u53ef\u4ee5\u7528\u6765\u521b\u5efa\u865a\u62df\u73af\u5883\u3002\u5728\u547d\u4ee4\u884c\u4e2d\u8f93\u5165<code>python -m venv myenv<\/code>\u5373\u53ef\u521b\u5efa\u4e00\u4e2a\u540d\u4e3a<code>myenv<\/code>\u7684\u865a\u62df\u73af\u5883\u3002\u6fc0\u6d3b\u865a\u62df\u73af\u5883\u7684\u65b9\u6cd5\u56e0\u64cd\u4f5c\u7cfb\u7edf\u800c\u5f02\u3002\u5728Windows\u4e0a\uff0c\u53ef\u4ee5\u8fd0\u884c<code>myenv\\Scripts\\activate<\/code>\uff0c\u800c\u5728Unix\u6216MacOS\u4e0a\uff0c\u53ef\u4ee5\u8fd0\u884c<code>source myenv\/bin\/activate<\/code>\u3002\u6fc0\u6d3b\u540e\uff0c\u6240\u6709\u7684pip\u5b89\u88c5\u547d\u4ee4\u90fd\u4f1a\u5728\u8fd9\u4e2a\u73af\u5883\u4e2d\u6267\u884c\u3002<\/p>\n<\/p>\n<p><p>\u4e94\u3001\u6d4b\u8bd5\u5b89\u88c5<\/p>\n<\/p>\n<p><p>\u5728\u5b8c\u6210\u4ee5\u4e0a\u6b65\u9aa4\u540e\uff0c\u53ef\u4ee5\u901a\u8fc7\u7f16\u5199\u7b80\u5355\u7684Keras\u811a\u672c\u6765\u6d4b\u8bd5\u5b89\u88c5\u662f\u5426\u6210\u529f\u3002\u53ef\u4ee5\u7f16\u5199\u4e00\u4e2a\u7b80\u5355\u7684\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\uff0c\u5e76\u901a\u8fc7TensorFlow\u7684\u6570\u636e\u96c6\u8fdb\u884c\u8bad\u7ec3\u3002\u4f8b\u5982\uff0c\u4f7f\u7528Keras\u81ea\u5e26\u7684MNIST\u6570\u636e\u96c6\uff0c\u6784\u5efa\u4e00\u4e2a\u7b80\u5355\u7684\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u8fdb\u884c\u5206\u7c7b\u4efb\u52a1\u3002\u5982\u679c\u811a\u672c\u80fd\u591f\u6210\u529f\u8fd0\u884c\u5e76\u8f93\u51fa\u7ed3\u679c\uff0c\u5219\u8bf4\u660eKeras\u548cTensorFlow\u73af\u5883\u642d\u5efa\u6210\u529f\u3002<\/p>\n<\/p>\n<p><p>\u516d\u3001\u89e3\u51b3\u5e38\u89c1\u95ee\u9898<\/p>\n<\/p>\n<p><p>\u5728\u642d\u5efaKeras\u73af\u5883\u65f6\uff0c\u53ef\u80fd\u4f1a\u9047\u5230\u4e00\u4e9b\u5e38\u89c1\u95ee\u9898\u3002\u4f8b\u5982\uff0c\u5b89\u88c5\u8fc7\u7a0b\u4e2d\u51fa\u73b0\u6743\u9650\u9519\u8bef\uff0c\u53ef\u4ee5\u5c1d\u8bd5\u4f7f\u7528\u7ba1\u7406\u5458\u6743\u9650\u8fd0\u884c\u547d\u4ee4\u3002\u82e5\u9047\u5230\u7248\u672c\u4e0d\u517c\u5bb9\u7684\u95ee\u9898\uff0c\u53ef\u4ee5\u901a\u8fc7\u6307\u5b9a\u7248\u672c\u53f7\u5b89\u88c5\u5408\u9002\u7684\u5305\u3002\u6b64\u5916\uff0c\u7f51\u7edc\u95ee\u9898\u4e5f\u53ef\u80fd\u5bfc\u81f4\u5b89\u88c5\u5931\u8d25\uff0c\u53ef\u4ee5\u5c1d\u8bd5\u4f7f\u7528\u56fd\u5185\u7684\u955c\u50cf\u6e90\uff0c\u5982\u963f\u91cc\u4e91\u7684Python\u955c\u50cf\u3002<\/p>\n<\/p>\n<p><p>\u4e03\u3001\u6df1\u5165\u5b66\u4e60Keras<\/p>\n<\/p>\n<p><p>\u5728\u6210\u529f\u642d\u5efaKeras\u73af\u5883\u540e\uff0c\u53ef\u4ee5\u8fdb\u4e00\u6b65\u5b66\u4e60\u5982\u4f55\u4f7f\u7528Keras\u8fdb\u884c\u6df1\u5ea6\u5b66\u4e60\u5f00\u53d1\u3002Keras\u63d0\u4f9b\u4e86\u8bb8\u591a\u9ad8\u5c42API\uff0c\u4fbf\u4e8e\u5feb\u901f\u642d\u5efa\u548c\u8bad\u7ec3\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u3002\u53ef\u4ee5\u901a\u8fc7\u5b98\u65b9\u6587\u6863\u548c\u6559\u7a0b\u5b66\u4e60Keras\u7684\u57fa\u672c\u4f7f\u7528\u65b9\u6cd5\uff0c\u5305\u62ec\u6a21\u578b\u7684\u6784\u5efa\u3001\u7f16\u8bd1\u3001\u8bad\u7ec3\u548c\u8bc4\u4f30\u3002\u4e86\u89e3Keras\u7684\u9ad8\u7ea7\u529f\u80fd\uff0c\u5982\u81ea\u5b9a\u4e49\u5c42\u548c\u81ea\u5b9a\u4e49\u8bad\u7ec3\u5faa\u73af\uff0c\u4e5f\u5c06\u6709\u52a9\u4e8e\u5f00\u53d1\u66f4\u590d\u6742\u7684\u6a21\u578b\u3002<\/p>\n<\/p>\n<p><p>\u516b\u3001Keras\u7684\u5e94\u7528\u573a\u666f<\/p>\n<\/p>\n<p><p>Keras\u5e7f\u6cdb\u5e94\u7528\u4e8e\u5404\u79cd\u6df1\u5ea6\u5b66\u4e60\u4efb\u52a1\u4e2d\uff0c\u5305\u62ec\u56fe\u50cf\u5206\u7c7b\u3001\u81ea\u7136\u8bed\u8a00\u5904\u7406\u548c\u65f6\u95f4\u5e8f\u5217\u9884\u6d4b\u7b49\u3002\u5176\u7b80\u5355\u76f4\u89c2\u7684API\u8bbe\u8ba1\uff0c\u4f7f\u5f97\u7814\u7a76\u4eba\u5458\u548c\u5de5\u7a0b\u5e08\u80fd\u591f\u5feb\u901f\u5b9e\u73b0\u539f\u578b\u548c\u5b9e\u9a8c\u3002\u6b64\u5916\uff0cKeras\u8fd8\u652f\u6301\u591a\u79cd\u786c\u4ef6\u52a0\u901f\uff0c\u5982GPU\u548cTPU\uff0c\u80fd\u591f\u6709\u6548\u63d0\u5347\u6a21\u578b\u8bad\u7ec3\u901f\u5ea6\u3002\u901a\u8fc7\u7ed3\u5408\u5176\u4ed6\u5de5\u5177\u548c\u5e93\uff0cKeras\u8fd8\u53ef\u4ee5\u7528\u4e8e\u5206\u5e03\u5f0f\u8bad\u7ec3\u548c\u81ea\u52a8\u5316\u673a\u5668\u5b66\u4e60\u3002<\/p>\n<\/p>\n<p><p>\u4e5d\u3001\u7ef4\u62a4\u548c\u66f4\u65b0<\/p>\n<\/p>\n<p><p>\u5728\u4f7f\u7528Keras\u8fdb\u884c\u5f00\u53d1\u65f6\uff0c\u4fdd\u6301\u73af\u5883\u7684\u66f4\u65b0\u548c\u7ef4\u62a4\u540c\u6837\u91cd\u8981\u3002\u5b9a\u671f\u68c0\u67e5\u5e76\u66f4\u65b0Keras\u548cTensorFlow\u7684\u7248\u672c\uff0c\u53ef\u4ee5\u83b7\u5f97\u6700\u65b0\u7684\u529f\u80fd\u548c\u6027\u80fd\u6539\u8fdb\u3002\u4f7f\u7528\u7248\u672c\u63a7\u5236\u5de5\u5177\uff0c\u5982Git\uff0c\u53ef\u4ee5\u6709\u6548\u7ba1\u7406\u9879\u76ee\u7684\u4ee3\u7801\u548c\u4f9d\u8d56\u53d8\u5316\u3002\u6b64\u5916\uff0c\u5b9a\u671f\u5907\u4efd\u865a\u62df\u73af\u5883\u548c\u6570\u636e\uff0c\u4e5f\u80fd\u9632\u6b62\u610f\u5916\u6570\u636e\u4e22\u5931\u3002<\/p>\n<\/p>\n<p><p>\u5341\u3001\u793e\u533a\u4e0e\u652f\u6301<\/p>\n<\/p>\n<p><p>Keras\u62e5\u6709\u4e00\u4e2a\u6d3b\u8dc3\u7684\u5f00\u53d1\u8005\u793e\u533a\uff0c\u63d0\u4f9b\u4e30\u5bcc\u7684\u5b66\u4e60\u8d44\u6e90\u548c\u6280\u672f\u652f\u6301\u3002\u901a\u8fc7\u52a0\u5165Keras\u7684\u793e\u533a\u8bba\u575b\u3001\u90ae\u4ef6\u5217\u8868\u548c\u793e\u4ea4\u5a92\u4f53\uff0c\u53ef\u4ee5\u4e0e\u5176\u4ed6\u5f00\u53d1\u8005\u4ea4\u6d41\u7ecf\u9a8c\u548c\u89e3\u51b3\u95ee\u9898\u3002\u6b64\u5916\uff0cKeras\u7684\u5b98\u65b9GitHub\u4ed3\u5e93\u4e5f\u63d0\u4f9b\u4e86\u95ee\u9898\u53cd\u9988\u548c\u4ee3\u7801\u8d21\u732e\u7684\u6e20\u9053\u3002\u901a\u8fc7\u53c2\u4e0e\u793e\u533a\u6d3b\u52a8\uff0c\u4e0d\u4ec5\u80fd\u591f\u63d0\u5347\u81ea\u5df1\u7684\u6280\u672f\u6c34\u5e73\uff0c\u4e5f\u80fd\u4e3a\u5f00\u6e90\u9879\u76ee\u7684\u53d1\u5c55\u8d21\u732e\u529b\u91cf\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5728Python\u73af\u5883\u4e2d\u5b89\u88c5Keras\uff1f<\/strong><br \/>\u8981\u5728Python\u73af\u5883\u4e2d\u5b89\u88c5Keras\uff0c\u9996\u5148\u9700\u8981\u786e\u4fdd\u4f60\u7684\u7cfb\u7edf\u5df2\u7ecf\u5b89\u88c5\u4e86Python\u548cpip\u3002\u53ef\u4ee5\u901a\u8fc7\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\u6765\u5b89\u88c5Keras\uff1a  <\/p>\n<pre><code class=\"language-bash\">pip install keras\n<\/code><\/pre>\n<p>\u6b64\u5916\uff0cKeras\u901a\u5e38\u9700\u8981TensorFlow\u4f5c\u4e3a\u540e\u7aef\uff0c\u56e0\u6b64\u786e\u4fdd\u4e5f\u5b89\u88c5\u4e86TensorFlow\uff0c\u547d\u4ee4\u4e3a\uff1a  <\/p>\n<pre><code class=\"language-bash\">pip install tensorflow\n<\/code><\/pre>\n<p><strong>Keras\u7684\u4e3b\u8981\u529f\u80fd\u548c\u7279\u70b9\u662f\u4ec0\u4e48\uff1f<\/strong><br \/>Keras\u662f\u4e00\u4e2a\u9ad8\u5c42\u795e\u7ecf\u7f51\u7edcAPI\uff0c\u652f\u6301\u591a\u79cd\u540e\u7aef\u3002\u5176\u4e3b\u8981\u7279\u70b9\u5305\u62ec\uff1a  <\/p>\n<ol>\n<li>\u7528\u6237\u53cb\u597d\u6027\uff1aKeras\u8bbe\u8ba1\u7b80\u5355\uff0c\u6613\u4e8e\u4f7f\u7528\u548c\u7406\u89e3\uff0c\u9002\u5408\u521d\u5b66\u8005\u3002  <\/li>\n<li>\u6a21\u5757\u5316\uff1aKeras\u7684\u6a21\u578b\u548c\u5c42\u90fd\u662f\u6a21\u5757\u5316\u7684\uff0c\u4fbf\u4e8e\u6784\u5efa\u590d\u6742\u7684\u795e\u7ecf\u7f51\u7edc\u3002  <\/li>\n<li>\u652f\u6301\u591a\u79cd\u540e\u7aef\uff1aKeras\u53ef\u4ee5\u4e0eTensorFlow\u3001Theano\u548cCNTK\u7b49\u540e\u7aef\u4e00\u8d77\u4f7f\u7528\uff0c\u7075\u6d3b\u6027\u8f83\u9ad8\u3002  <\/li>\n<li>\u4e30\u5bcc\u7684\u6587\u6863\u548c\u793e\u533a\u652f\u6301\uff1aKeras\u62e5\u6709\u8be6\u5c3d\u7684\u6587\u6863\u548c\u6d3b\u8dc3\u7684\u793e\u533a\uff0c\u7528\u6237\u53ef\u4ee5\u8f7b\u677e\u627e\u5230\u5b66\u4e60\u8d44\u6e90\u548c\u89e3\u51b3\u65b9\u6848\u3002<\/li>\n<\/ol>\n<p><strong>Keras\u9002\u5408\u54ea\u4e9b\u7c7b\u578b\u7684\u9879\u76ee\u6216\u5e94\u7528\uff1f<\/strong><br \/>Keras\u9002\u5408\u591a\u79cd\u7c7b\u578b\u7684\u6df1\u5ea6\u5b66\u4e60\u9879\u76ee\uff0c\u5305\u62ec\u4f46\u4e0d\u9650\u4e8e\uff1a  <\/p>\n<ol>\n<li>\u56fe\u50cf\u5904\u7406\uff1a\u5229\u7528\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\uff08CNN\uff09\u8fdb\u884c\u56fe\u50cf\u5206\u7c7b\u3001\u76ee\u6807\u68c0\u6d4b\u7b49\u4efb\u52a1\u3002  <\/li>\n<li>\u81ea\u7136\u8bed\u8a00\u5904\u7406\uff1a\u901a\u8fc7\u5faa\u73af\u795e\u7ecf\u7f51\u7edc\uff08RNN\uff09\u548c\u957f\u77ed\u671f\u8bb0\u5fc6\u7f51\u7edc\uff08LSTM\uff09\u8fdb\u884c\u6587\u672c\u751f\u6210\u3001\u60c5\u611f\u5206\u6790\u7b49\u3002  <\/li>\n<li>\u65f6\u95f4\u5e8f\u5217\u9884\u6d4b\uff1aKeras\u80fd\u591f\u5904\u7406\u65f6\u95f4\u5e8f\u5217\u6570\u636e\uff0c\u9002\u7528\u4e8e\u91d1\u878d\u9884\u6d4b\u3001\u6c14\u8c61\u9884\u62a5\u7b49\u9886\u57df\u3002  <\/li>\n<li>\u5f3a\u5316\u5b66\u4e60\uff1a\u53ef\u4ee5\u4f7f\u7528Keras\u6765\u5b9e\u73b0\u5f3a\u5316\u5b66\u4e60\u7b97\u6cd5\uff0c\u5e94\u7528\u4e8e\u6e38\u620f\u3001\u673a\u5668\u4eba\u63a7\u5236\u7b49\u573a\u666f\u3002<\/li>\n<\/ol>\n<p>\u901a\u8fc7\u4e86\u89e3\u8fd9\u4e9bFAQ\uff0c\u60a8\u53ef\u4ee5\u66f4\u597d\u5730\u638c\u63e1Keras\u7684\u5b89\u88c5\u3001\u529f\u80fd\u53ca\u5e94\u7528\uff0c\u52a9\u529b\u60a8\u7684\u6df1\u5ea6\u5b66\u4e60\u9879\u76ee\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5f00\u5934\u6bb5\u843d\uff1a\u642d\u5efaKeras\u73af\u5883\u7684\u6b65\u9aa4\u5305\u62ec\u5b89\u88c5Python\u3001\u5b89\u88c5Keras\u548cTensorFlow\u3001\u914d\u7f6e\u865a\u62df\u73af\u5883\u3001\u6d4b [&hellip;]","protected":false},"author":3,"featured_media":951228,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[37],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/951226"}],"collection":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/comments?post=951226"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/951226\/revisions"}],"predecessor-version":[{"id":951229,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/951226\/revisions\/951229"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/951228"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=951226"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=951226"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=951226"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}