{"id":196760,"date":"2024-05-09T23:03:23","date_gmt":"2024-05-09T15:03:23","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/196760.html"},"modified":"2024-05-09T23:03:26","modified_gmt":"2024-05-09T15:03:26","slug":"r%e8%af%ad%e8%a8%80%e5%8f%af%e4%bb%a5%e6%90%ad%e5%bb%ba%e6%b7%b1%e5%ba%a6%e5%ad%a6%e4%b9%a0%e7%ae%97%e6%b3%95%e5%90%97-2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/196760.html","title":{"rendered":"R\u8bed\u8a00\u53ef\u4ee5\u642d\u5efa\u6df1\u5ea6\u5b66\u4e60\u7b97\u6cd5\u5417"},"content":{"rendered":"

\"R\u8bed\u8a00\u53ef\u4ee5\u642d\u5efa\u6df1\u5ea6\u5b66\u4e60\u7b97\u6cd5\u5417\"<\/p>\n

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\u4e00\u3001R\u8bed\u8a00\u4e0e\u6df1\u5ea6\u5b66\u4e60\u5e93<\/h3>\n<\/p>\n

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Keras<\/code>\u662f\u4e00\u4e2a\u9ad8\u5c42\u795e\u7ecf\u7f51\u7edcAPI\uff0c\u901a\u8fc7R\u63a5\u53e3\uff0c\u7528\u6237\u53ef\u4ee5\u8f7b\u677e\u642d\u5efa\u548c\u8bad\u7ec3\u5404\u79cd\u7c7b\u578b\u7684\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b<\/strong>\u3002keras<\/code>\u5e93\u63d0\u4f9b\u4e86\u8bb8\u591a\u9884\u5148\u6784\u5efa\u7684\u795e\u7ecf\u7f51\u7edc\u5c42\u3001\u6210\u672c\u51fd\u6570\u3001\u6fc0\u6d3b\u51fd\u6570\u3001\u4f18\u5316\u5668\u7b49\uff0c\u4f7f\u5f97\u6784\u5efa\u81ea\u5df1\u7684\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u53d8\u5f97\u7b80\u5355\u76f4\u89c2\u3002<\/p>\n<\/p>\n

\u4e8c\u3001\u5b89\u88c5\u4e0e\u914d\u7f6e\u73af\u5883<\/h3>\n<\/p>\n

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\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u4f7f\u7528library()<\/code>\u51fd\u6570\u8f7d\u5165\u5305\uff0c\u5e76\u4f7f\u7528keras::install_keras()<\/code>\u51fd\u6570\u786e\u4fdd\u6240\u6709Keras\u548cTensorFlow\u7684\u4f9d\u8d56\u9879\u90fd\u6309\u7167R\u7684\u9700\u6c42\u6b63\u786e\u5b89\u88c5\u3002\u8fd9\u4e00\u6b65\u9aa4\u5bf9\u4e8e\u4fdd\u8bc1\u540e\u7eed\u6a21\u578b\u80fd\u591f\u987a\u5229\u8fd0\u884c\u81f3\u5173\u91cd\u8981\u3002<\/strong><\/p>\n<\/p>\n

\u4e09\u3001\u6784\u5efa\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b<\/h3>\n<\/p>\n

\u5728R\u4e2d\u6784\u5efa\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u7684\u8fc7\u7a0b\uff0c\u9996\u5148\u662f\u5b9a\u4e49\u6a21\u578b\u7684\u7ed3\u6784\u3002\u8fd9\u5305\u62ec\u51b3\u5b9a\u4f7f\u7528\u591a\u5c11\u5c42\u3001\u6bcf\u5c42\u5305\u542b\u591a\u5c11\u795e\u7ecf\u5143\uff0c\u4ee5\u53ca\u9009\u62e9\u6fc0\u6d3b\u51fd\u6570\u7b49\u3002keras<\/code>\u5305\u4e2d\u7684keras_model_sequential()<\/code>\u51fd\u6570\u63d0\u4f9b\u4e86\u4e00\u79cd\u4fbf\u6377\u7684\u65b9\u5f0f\u6765\u987a\u5e8f\u5730\u6784\u5efa\u6a21\u578b\u3002<\/strong><\/p>\n<\/p>\n

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\u56db\u3001\u8bad\u7ec3\u6a21\u578b\u548c\u8bc4\u4f30\u6027\u80fd<\/h3>\n<\/p>\n

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\u6700\u7ec8\uff0c\u4f7f\u7528evaluate()<\/code>\u51fd\u6570\u5e2e\u52a9\u8bc4\u4f30\u6a21\u578b\u5728\u6d4b\u8bd5\u96c6\u4e0a\u7684\u8868\u73b0\u3002\u6b64\u5916\uff0cpredict()<\/code>\u51fd\u6570\u53ef\u7528\u4e8e\u751f\u6210\u65b0\u6570\u636e\u7684\u9884\u6d4b\u7ed3\u679c\uff0c\u4e3a\u540e\u7eed\u7684\u5206\u6790\u63d0\u4f9b\u57fa\u7840\u3002<\/p>\n<\/p>\n

\u4e94\u3001\u6848\u4f8b\u7814\u7a76<\/h3>\n<\/p>\n

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\u7ed3\u8bed<\/h3>\n<\/p>\n

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\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n

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    \n
  1. \u9009\u62e9\u5408\u9002\u7684\u6df1\u5ea6\u5b66\u4e60\u5e93\u6216\u6846\u67b6\uff0c\u4f8b\u5982tensorflow\u3001keras\u6216mxnet\u3002<\/li>\n
  2. \u5b66\u4e60\u57fa\u672c\u7684\u6df1\u5ea6\u5b66\u4e60\u6982\u5ff5\u548c\u7b97\u6cd5\uff0c\u4f8b\u5982\u795e\u7ecf\u7f51\u7edc\u3001\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u548c\u5faa\u73af\u795e\u7ecf\u7f51\u7edc\u3002<\/li>\n
  3. \u5bfc\u5165\u6240\u9009\u7684\u5e93\u6216\u6846\u67b6\uff0c\u5e76\u4f7f\u7528\u5176\u63d0\u4f9b\u7684\u51fd\u6570\u6216\u63a5\u53e3\u6784\u5efa\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u3002<\/li>\n
  4. \u51c6\u5907\u548c\u5904\u7406\u60a8\u7684\u6570\u636e\u96c6\uff0c\u786e\u4fdd\u5176\u9002\u5408\u7528\u4e8e\u8bad\u7ec3\u548c\u6d4b\u8bd5\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u3002<\/li>\n
  5. \u4f7f\u7528\u60a8\u7684\u6570\u636e\u96c6\u6765\u8bad\u7ec3\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\uff0c\u5e76\u6839\u636e\u6027\u80fd\u8fdb\u884c\u8c03\u4f18\u3002<\/li>\n
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