{"id":152010,"date":"2024-05-06T11:33:21","date_gmt":"2024-05-06T03:33:21","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/152010.html"},"modified":"2024-05-06T11:33:24","modified_gmt":"2024-05-06T03:33:24","slug":"%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd%e7%94%a8%e4%bb%80%e4%b9%88%e8%af%ad%e8%a8%80%e5%bc%80%e5%8f%91","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/152010.html","title":{"rendered":"\u4eba\u5de5\u667a\u80fd\u7528\u4ec0\u4e48\u8bed\u8a00\u5f00\u53d1"},"content":{"rendered":"

\"\u4eba\u5de5\u667a\u80fd\u7528\u4ec0\u4e48\u8bed\u8a00\u5f00\u53d1\"<\/p>\n

\u4eba\u5de5\u667a\u80fd\uff08AI<\/a>\uff09\u5f00\u53d1\u901a\u5e38\u91c7\u7528\u7684\u8bed\u8a00\u6709Python\u3001Java\u3001R\u3001Lisp\u3001Prolog<\/strong>\u7b49\u3002\u5728\u8fd9\u4e9b\u9009\u9879\u4e2d\uff0cPython<\/strong>\u7531\u4e8e\u5176\u7b80\u6d01\u3001\u6613\u8bfb\u7684\u8bed\u6cd5\u548c\u5f3a\u5927\u7684\u5e93\u751f\u6001\uff0c\u901a\u5e38\u88ab\u8ba4\u4e3a\u662f\u5f00\u53d1\u4eba\u5de5\u667a\u80fd<\/a>\u89e3\u51b3\u65b9\u6848\u7684\u9996\u9009\u8bed\u8a00\u3002Python\u63d0\u4f9b\u4e86\u591a\u79cdAI\u5f00\u53d1\u5e93\uff0c\u5982TensorFlow\u3001Keras\u3001PyTorch<\/strong>\u7b49\uff0c\u5b83\u4eec\u652f\u6301\u590d\u6742\u7684\u6570\u636e\u5206\u6790\u3001\u673a\u5668\u5b66\u4e60<\/a>\u6a21\u578b\u7684\u6784\u5efa\u548c\u795e\u7ecf\u7f51\u7edc\u7684\u8bad\u7ec3\u3002Python\u7684\u793e\u533a\u6d3b\u8dc3\uff0c\u8d44\u6e90\u4e30\u5bcc\uff0c\u4f7f\u5f97\u5f00\u53d1\u8005\u53ef\u4ee5\u5feb\u901f\u627e\u5230\u89e3\u51b3\u65b9\u6848\u5e76\u4fdd\u6301\u6280\u672f\u7684\u6700\u65b0\u72b6\u6001\u3002<\/p>\n<\/p>\n

\u4e00\u3001PYTHON\u5728AI\u5f00\u53d1\u4e2d\u7684\u4f18\u52bf<\/h3>\n<\/p>\n

Python\u56e0\u5176\u5728\u6570\u636e\u79d1\u5b66\u548cAI\u793e\u533a\u7684\u5e7f\u6cdb\u5e94\u7528\u548c\u652f\u6301\uff0c\u6210\u4e3a\u4e86AI\u5f00\u53d1\u7684\u70ed\u95e8\u8bed\u8a00\u3002\u8bed\u6cd5\u7b80\u6d01<\/strong>\u8ba9\u5b83\u7279\u522b\u53d7\u5230\u521d\u5b66\u8005\u7684\u9752\u7750\uff0c\u56e0\u4e3a\u5f00\u53d1\u8005\u53ef\u4ee5\u5728\u4e0d\u5173\u6ce8\u590d\u6742\u8bed\u6cd5\u7684\u60c5\u51b5\u4e0b\u4e13\u6ce8\u4e8e\u5b9e\u73b0AI\u7b97\u6cd5\u548c\u903b\u8f91\u3002Python\u6709\u4e30\u5bcc\u7684\u5e93\u548c\u6846\u67b6\uff0c\u4f8b\u5982TensorFlow\u548cKeras\u63d0\u4f9b\u4e86\u7528\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u9ad8\u7ea7API\uff0c\u800c\u5e93\u5982scikit-learn\u5219\u63d0\u4f9b\u4e86\u5404\u79cd\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u7684\u5b9e\u73b0\u3002<\/p>\n<\/p>\n

    \n
  • \u6570\u636e\u5904\u7406\u80fd\u529b<\/strong><\/li>\n<\/ul>\n

    \u5728AI\u5f00\u53d1\u4e2d\uff0c\u5904\u7406\u548c\u5206\u6790\u5927\u91cf\u6570\u636e\u662f\u5fc5\u4e0d\u53ef\u5c11\u7684\u3002Python\u6709\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u5e93\uff0c\u5982Pandas\u7528\u4e8e\u6570\u636e\u9884\u5904\u7406\u548c\u6e05\u6d17\uff0cNumpy\u652f\u6301\u9ad8\u6548\u7684\u6570\u503c\u8ba1\u7b97\uff0c Matplotlib\u548cSeaborn\u7528\u4e8e\u6570\u636e\u53ef\u89c6\u5316\u3002\u8fd9\u4e9b\u5e93\u7684\u7ed3\u5408\uff0c\u4e3aAI\u6a21\u578b\u7684\u8bad\u7ec3\u63d0\u4f9b\u4e86\u575a\u5b9e\u7684\u6570\u636e\u652f\u6301\u3002<\/p>\n<\/p>\n

      \n
    • \u673a\u5668\u5b66\u4e60\u548c\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6<\/strong><\/li>\n<\/ul>\n

      \u5bf9\u4e8e\u90a3\u4e9b\u9700\u8981\u5b9e\u73b0\u590d\u6742AI\u6a21\u578b\u7684\u5f00\u53d1\u8005\uff0cPython\u7684\u673a\u5668\u5b66\u4e60\u5e93\u5982scikit-learn\u63d0\u4f9b\u4e86\u8303\u56f4\u5e7f\u6cdb\u7684\u7b97\u6cd5\uff0c\u5305\u62ec\u5206\u7c7b\u3001\u56de\u5f52\u3001\u805a\u7c7b\u7b49\u3002\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\uff0c\u5982TensorFlow\u548cPyTorch\uff0c\u5219\u652f\u6301\u5f00\u53d1\u8005\u8bbe\u8ba1\u3001\u8bad\u7ec3\u5e76\u90e8\u7f72\u590d\u6742\u7684\u795e\u7ecf\u7f51\u7edc\u3002<\/p>\n<\/p>\n

      \u4e8c\u3001JAVA\u5728AI\u5f00\u53d1\u4e2d\u7684\u5e94\u7528<\/h3>\n<\/p>\n

      Java\u4e5f\u662fAI\u5f00\u53d1\u4e2d\u5e7f\u6cdb\u4f7f\u7528\u7684\u4e00\u79cd\u7f16\u7a0b\u8bed\u8a00\uff0c\u5b83\u56e0\u4e3a\u5176\u7a33\u5b9a\u6027\u3001\u5b89\u5168\u6027\u548c\u8de8\u5e73\u53f0\u80fd\u529b<\/strong>\u800c\u53d7\u5230\u4e00\u4e9b\u5f00\u53d1\u8005\u7684\u9752\u7750\u3002\u5c3d\u7ba1Java\u5728\u8bed\u6cd5\u4e0a\u4e0d\u5982Python\u7b80\u6d01\uff0c\u5728\u6570\u636e\u79d1\u5b66\u5e93\u65b9\u9762\u4e5f\u4e0d\u5982Python\u4e30\u5bcc\uff0c\u4f46\u662f\u5b83\u5728\u4f01\u4e1a\u7ea7\u5e94\u7528\u4e2d\u7684\u5e7f\u6cdb\u4f7f\u7528\u4f7f\u5f97\u5b83\u5728\u6784\u5efa\u5927\u89c4\u6a21\u3001\u9ad8\u6027\u80fdAI\u7cfb\u7edf\u65f6\u4ecd\u7136\u662f\u4e00\u4e2a\u4e0d\u9519\u7684\u9009\u62e9\u3002<\/p>\n<\/p>\n

        \n
      • \u4f01\u4e1a\u7ea7\u5f00\u53d1<\/strong><\/li>\n<\/ul>\n

        Java\u5728\u4f01\u4e1a\u7ea7\u7cfb\u7edf\u4e2d\u7684\u6df1\u5ea6\u5e94\u7528\u4ee5\u53ca\u5728\u6027\u80fd\u4f18\u5316\u65b9\u9762\u7684\u6210\u719f\uff0c\u4f7f\u5f97\u5b83\u6210\u4e3a\u6784\u5efa\u5927\u578bAI\u7cfb\u7edf\u7684\u5408\u9002\u9009\u62e9\u3002Java\u7684\u5f3a\u7c7b\u578b\u548c\u9762\u5411\u5bf9\u8c61\u7684\u7279\u5f81\u4f7f\u5f97\u5927\u578b\u9879\u76ee\u66f4\u52a0\u6613\u4e8e\u7ef4\u62a4\u548c\u6269\u5c55\u3002<\/p>\n<\/p>\n

          \n
        • \u5e76\u53d1\u5904\u7406\u80fd\u529b<\/strong><\/li>\n<\/ul>\n

          Java\u63d0\u4f9b\u4e86\u5148\u8fdb\u7684\u5e76\u53d1\u5904\u7406\u80fd\u529b\uff0c\u8fd9\u662fAI\u5e94\u7528\u4e2d\u5904\u7406\u5927\u91cf\u6570\u636e\u548c\u9ad8\u5e76\u53d1\u8bf7\u6c42\u65f6\u4e0d\u53ef\u6216\u7f3a\u7684\u3002Java\u7684\u7ebf\u7a0b\u7ba1\u7406\u548c\u5e76\u53d1\u5de5\u5177\u5305\uff08\u5982java.util.concurrent\uff09\u4e3a\u5f00\u53d1\u8005\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u5de5\u5177\u6765\u6784\u5efa\u9ad8\u6548\u4e14\u53ef\u9760\u7684AI\u5e94\u7528\u3002<\/p>\n<\/p>\n

          \u4e09\u3001R\u8bed\u8a00\u5728AI\u5f00\u53d1\u4e2d\u7684\u5730\u4f4d<\/h3>\n<\/p>\n

          R\u8bed\u8a00\u662f\u4e00\u79cd\u7edf\u8ba1\u7f16\u7a0b\u8bed\u8a00\uff0c\u5b83\u5728\u7edf\u8ba1\u5b66\u548c\u6570\u636e\u5206\u6790\u65b9\u9762\u62e5\u6709\u5f3a\u5927\u7684\u529f\u80fd\u3002\u5bf9\u4e8e\u90a3\u4e9b\u4e13\u6ce8\u4e8e\u6570\u636e\u5efa\u6a21\u3001\u7edf\u8ba1\u5206\u6790\u548c\u56fe\u5f62\u8868\u793a\u7684AI\u9879\u76ee\uff0cR\u8bed\u8a00\u662f\u4e00\u4e2a\u975e\u5e38\u5408\u9002\u7684\u9009\u62e9\u3002<\/p>\n<\/p>\n

            \n
          • \u7edf\u8ba1\u5206\u6790\u4f18\u52bf<\/strong><\/li>\n<\/ul>\n

            R\u8bed\u8a00\u63d0\u4f9b\u4e86\u4e00\u4e2a\u5168\u9762\u7684\u7edf\u8ba1\u5206\u6790\u73af\u5883\uff0c\u5305\u62ec\u4e00\u7cfb\u5217\u6d4b\u8bd5\u3001\u6a21\u578b\u548c\u5206\u6790\u6280\u5de7\u3002R\u5185\u7f6e\u7684\u5927\u91cf\u7edf\u8ba1\u6a21\u578b\u548c\u4e13\u95e8\u7684\u5305\uff0c\u4f7f\u5f97\u5f00\u53d1\u8005\u53ef\u4ee5\u8f7b\u677e\u6784\u5efa\u548c\u9a8c\u8bc1\u590d\u6742\u7684\u7edf\u8ba1\u5b66\u6a21\u578b\u3002<\/p>\n<\/p>\n

              \n
            • \u6570\u636e\u53ef\u89c6\u5316<\/strong><\/li>\n<\/ul>\n

              R\u8bed\u8a00\u7684\u53e6\u4e00\u4e2a\u663e\u8457\u4f18\u52bf\u662f\u5b83\u5353\u8d8a\u7684\u6570\u636e\u53ef\u89c6\u5316\u80fd\u529b\u3002\u901a\u8fc7ggplot2\u7b49\u5de5\u5177\u5305\uff0cR\u5141\u8bb8\u5f00\u53d1\u8005\u521b\u5efa\u9ad8\u8d28\u91cf\u7684\u56fe\u8868\u548c\u6570\u636e\u8868\u793a\uff0c\u8fd9\u5728\u5448\u73b0\u6570\u636e\u5206\u6790\u7ed3\u679c\u65f6\u975e\u5e38\u91cd\u8981\u3002<\/p>\n<\/p>\n

              \u56db\u3001LISP\u548cPROLOG\u5728AI\u5f00\u53d1\u4e2d\u7684\u4f5c\u7528<\/h3>\n<\/p>\n

              Lisp\u548cProlog\u662f\u4e24\u79cd\u8f83\u65e9\u7684\u7f16\u7a0b\u8bed\u8a00\uff0c\u5b83\u4eec\u5728\u4eba\u5de5\u667a\u80fd\u7684\u5386\u53f2\u4e0a\u626e\u6f14\u4e86\u91cd\u8981\u89d2\u8272\u3002Lisp\u7531\u4e8e\u5b83\u7684\u5b8f\u7cfb\u7edf\u548c\u9ad8\u7ea7\u7279\u6027\u66fe\u88ab\u5e7f\u6cdb\u7528\u4e8eAI\u7814\u7a76\u3002<\/p>\n<\/p>\n

                \n
              • LISP\u7684\u5386\u53f2\u548c\u7279\u6027<\/strong><\/li>\n<\/ul>\n

                Lisp\u662fAI\u5386\u53f2\u4e0a\u6700\u91cd\u8981\u7684\u7f16\u7a0b\u8bed\u8a00\u4e4b\u4e00\uff0c\u5b83\u5728\u6a21\u5f0f\u8bc6\u522b\u3001\u81ea\u7136\u8bed\u8a00\u5904\u7406\u7b49\u9886\u57df\u6709\u5e7f\u6cdb\u5e94\u7528\u3002\u5b83\u7684\u7279\u70b9\u5305\u62ec\u7075\u6d3b\u7684\u8bed\u6cd5\u3001\u5f3a\u5927\u7684\u5b8f\u7cfb\u7edf\u548c\u52a8\u6001\u7c7b\u578b\u7cfb\u7edf\uff0c\u8fd9\u4f7f\u5f97\u5f00\u53d1\u8005\u53ef\u4ee5\u5feb\u901f\u539f\u578b\u5316\u548c\u8fed\u4ee3AI\u5e94\u7528\u3002<\/p>\n<\/p>\n

                  \n
                • PROLOG\u7684\u903b\u8f91\u7f16\u7a0b<\/strong><\/li>\n<\/ul>\n

                  Prolog\u4f5c\u4e3a\u4e00\u79cd\u903b\u8f91\u7f16\u7a0b\u8bed\u8a00\uff0c\u5728\u4e13\u5bb6\u7cfb\u7edf\u548c\u903b\u8f91\u63a8\u7406\u65b9\u9762\u5177\u6709\u7279\u6b8a\u7684\u4f18\u52bf\u3002\u5b83\u662f\u57fa\u4e8e\u4e8b\u5b9e\u548c\u89c4\u5219\u7684\u63a8\u7406\u7cfb\u7edf\uff0c\u53ef\u4ee5\u89e3\u51b3\u590d\u6742\u7684\u903b\u8f91\u95ee\u9898\uff0c\u975e\u5e38\u9002\u5408\u9700\u8981\u590d\u6742\u903b\u8f91\u5904\u7406\u7684AI\u7cfb\u7edf\u3002<\/p>\n<\/p>\n

                  \u5728\u8fd9\u4e9b\u8bed\u8a00\u4e2d\uff0c\u9009\u62e9\u54ea\u4e00\u79cd\u6700\u7ec8\u53d6\u51b3\u4e8e\u9879\u76ee\u9700\u6c42\u3001\u5f00\u53d1\u56e2\u961f\u7684\u7ecf\u9a8c\u4ee5\u53ca\u7279\u5b9a\u9886\u57df\u7684\u6700\u4f73\u5b9e\u8df5\u3002\u7136\u800c\uff0c\u968f\u7740\u6280\u672f\u7684\u53d1\u5c55\uff0c\u4e0d\u540c\u8bed\u8a00\u4e4b\u95f4\u7684\u754c\u9650\u8d8a\u6765\u8d8a\u6a21\u7cca\uff0c\u8de8\u8bed\u8a00\u7684\u5de5\u5177\u548c\u6846\u67b6\u4e5f\u4f7f\u5f97\u5f00\u53d1\u66f4\u4e3a\u7075\u6d3b\u3002\u5728\u5f00\u59cb\u4eba\u5de5\u667a\u80fd\u9879\u76ee\u65f6\uff0c\u8003\u8651\u9879\u76ee\u7684\u7279\u5b9a\u9700\u6c42\u548c\u76ee\u6807\uff0c\u9009\u62e9\u6700\u5408\u9002\u7684\u7f16\u7a0b\u8bed\u8a00\u975e\u5e38\u5173\u952e\u3002<\/p>\n<\/p>\n

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

                  \u4eba\u5de5\u667a\u80fd\u7684\u5f00\u53d1\u9700\u8981\u4f7f\u7528\u4ec0\u4e48\u7f16\u7a0b\u8bed\u8a00\uff1f<\/strong><\/p>\n

                    \n
                  • \u4eba\u5de5\u667a\u80fd\u7684\u5f00\u53d1\u53ef\u4ee5\u4f7f\u7528\u591a\u79cd\u7f16\u7a0b\u8bed\u8a00\uff0c\u5176\u4e2d\u6700\u5e38\u7528\u7684\u662fPython\u3002Python\u62e5\u6709\u4e30\u5bcc\u7684\u673a\u5668\u5b66\u4e60\u548c\u6df1\u5ea6\u5b66\u4e60\u5e93\uff0c\u4f8b\u5982TensorFlow\u548cPyTorch\uff0c\u8fd9\u4e9b\u5e93\u53ef\u4ee5\u65b9\u4fbf\u5730\u5b9e\u73b0\u5404\u79cd\u4eba\u5de5\u667a\u80fd\u7b97\u6cd5\u548c\u6a21\u578b\u3002<\/li>\n
                  • \u9664\u4e86Python\u4e4b\u5916\uff0c\u8fd8\u53ef\u4ee5\u4f7f\u7528\u5176\u4ed6\u7f16\u7a0b\u8bed\u8a00\u5982Java\u3001C++\u548cR\u7b49\u6765\u5f00\u53d1\u4eba\u5de5\u667a\u80fd\u3002\u4f8b\u5982\uff0cJava\u53ef\u4ee5\u7528\u4e8e\u5f00\u53d1\u5927\u89c4\u6a21\u7684\u673a\u5668\u5b66\u4e60\u7cfb\u7edf\uff0cC++\u53ef\u4ee5\u7528\u4e8e\u9ad8\u6027\u80fd\u8ba1\u7b97\uff0cR\u5219\u662f\u6570\u636e\u79d1\u5b66\u548c\u7edf\u8ba1\u5206\u6790\u7684\u9996\u9009\u8bed\u8a00\u3002<\/li>\n
                  • \u6b64\u5916\uff0c\u4e5f\u53ef\u4ee5\u4f7f\u7528\u4e00\u4e9b\u4e13\u95e8\u9488\u5bf9\u4eba\u5de5\u667a\u80fd\u5f00\u53d1\u7684\u8bed\u8a00\uff0c\u4f8b\u5982Lisp\u548cProlog\u7b49\u3002\u8fd9\u4e9b\u8bed\u8a00\u5177\u6709\u8f83\u5f3a\u7684\u7b26\u53f7\u63a8\u7406\u548c\u903b\u8f91\u63a8\u7406\u80fd\u529b\uff0c\u5728\u67d0\u4e9b\u9886\u57df\u5982\u4e13\u5bb6\u7cfb\u7edf\u548c\u81ea\u7136\u8bed\u8a00\u5904\u7406\u4e2d\u5f97\u5230\u5e7f\u6cdb\u5e94\u7528\u3002<\/li>\n<\/ul>\n

                    \u4eba\u5de5\u667a\u80fd\u5f00\u53d1\u65f6\u4f7f\u7528\u54ea\u4e9b\u5de5\u5177\u548c\u6846\u67b6\uff1f<\/strong><\/p>\n

                      \n
                    • \u5728\u4eba\u5de5\u667a\u80fd\u5f00\u53d1\u8fc7\u7a0b\u4e2d\uff0c\u5e38\u7528\u7684\u5de5\u5177\u548c\u6846\u67b6\u6709\u5f88\u591a\u3002\u4f8b\u5982\uff0cTensorFlow\u662f\u4e00\u4e2a\u5e7f\u6cdb\u5e94\u7528\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u5f00\u6e90\u6846\u67b6\uff0c\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684API\u548c\u5de5\u5177\uff0c\u80fd\u591f\u65b9\u4fbf\u5730\u6784\u5efa\u548c\u8bad\u7ec3\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u3002<\/li>\n
                    • PyTorch\u662f\u53e6\u4e00\u4e2a\u70ed\u95e8\u7684\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\uff0c\u5b83\u5177\u6709\u52a8\u6001\u8ba1\u7b97\u56fe\u548c\u6613\u4e8e\u8c03\u8bd5\u7684\u7279\u70b9\uff0c\u4f7f\u5f97\u6a21\u578b\u7684\u5f00\u53d1\u548c\u8c03\u8bd5\u53d8\u5f97\u66f4\u52a0\u76f4\u89c2\u548c\u9ad8\u6548\u3002<\/li>\n
                    • \u8fd8\u6709\u4e00\u4e9b\u4e13\u95e8\u7528\u4e8e\u673a\u5668\u5b66\u4e60\u548c\u6570\u636e\u79d1\u5b66\u7684\u5de5\u5177\uff0c\u5982scikit-learn\u548cpandas\u7b49\uff0c\u5b83\u4eec\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u6570\u636e\u5904\u7406\u548c\u6a21\u578b\u8bc4\u4f30\u65b9\u6cd5\uff0c\u80fd\u591f\u5e2e\u52a9\u5f00\u53d1\u4eba\u5458\u5feb\u901f\u5b9e\u73b0\u5404\u79cd\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u3002<\/li>\n
                    • \u6b64\u5916\uff0c\u8fd8\u6709\u4e00\u4e9b\u8f85\u52a9\u5de5\u5177\u5982Jupyter Notebook\u548cColab\u7b49\uff0c\u5b83\u4eec\u63d0\u4f9b\u4e86\u4ea4\u4e92\u5f0f\u7684\u7f16\u7a0b\u73af\u5883\uff0c\u80fd\u591f\u65b9\u4fbf\u5730\u8fdb\u884c\u5b9e\u9a8c\u548c\u53ef\u89c6\u5316\u3002<\/li>\n<\/ul>\n

                      \u4eba\u5de5\u667a\u80fd\u5f00\u53d1\u9700\u8981\u5177\u5907\u4ec0\u4e48\u6280\u80fd\u548c\u77e5\u8bc6\uff1f<\/strong><\/p>\n

                        \n
                      • \u4eba\u5de5\u667a\u80fd\u5f00\u53d1\u9700\u8981\u5177\u5907\u624e\u5b9e\u7684\u7f16\u7a0b\u80fd\u529b\uff0c\u7279\u522b\u662f\u5bf9\u4e8ePython\u7b49\u5e38\u7528\u8bed\u8a00\u7684\u719f\u7ec3\u638c\u63e1\u3002\u540c\u65f6\uff0c\u4e5f\u9700\u8981\u4e86\u89e3\u673a\u5668\u5b66\u4e60\u548c\u6df1\u5ea6\u5b66\u4e60\u7684\u57fa\u672c\u539f\u7406\u548c\u7b97\u6cd5\uff0c\u5982\u7ebf\u6027\u56de\u5f52\u3001\u903b\u8f91\u56de\u5f52\u3001\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u7b49\u3002<\/li>\n
                      • \u719f\u6089\u5e38\u7528\u7684\u673a\u5668\u5b66\u4e60\u548c\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\uff0c\u5982TensorFlow\u548cPyTorch\uff0c\u80fd\u591f\u719f\u7ec3\u5730\u4f7f\u7528\u5176API\u548c\u5de5\u5177\u8fdb\u884c\u6a21\u578b\u7684\u6784\u5efa\u548c\u8bad\u7ec3\u3002<\/li>\n
                      • \u6b64\u5916\uff0c\u8fd8\u9700\u8981\u5177\u5907\u6570\u636e\u5904\u7406\u548c\u6570\u636e\u5206\u6790\u7684\u80fd\u529b\uff0c\u80fd\u591f\u5bf9\u539f\u59cb\u6570\u636e\u8fdb\u884c\u6e05\u6d17\u548c\u9884\u5904\u7406\uff0c\u63d0\u53d6\u6709\u7528\u7684\u7279\u5f81\u5e76\u8fdb\u884c\u7279\u5f81\u5de5\u7a0b\u3002<\/li>\n
                      • \u5bf9\u4e8e\u7279\u5b9a\u9886\u57df\u7684\u5e94\u7528\uff0c\u8fd8\u9700\u8981\u4e86\u89e3\u76f8\u5173\u7684\u9886\u57df\u77e5\u8bc6\uff0c\u5982\u81ea\u7136\u8bed\u8a00\u5904\u7406\u3001\u8ba1\u7b97\u673a\u89c6\u89c9\u3001\u667a\u80fd\u63a8\u8350\u7b49\u3002\u8fd9\u4e9b\u77e5\u8bc6\u5c06\u6709\u52a9\u4e8e\u5f00\u53d1\u51fa\u66f4\u52a0\u9ad8\u6548\u548c\u7cbe\u51c6\u7684\u4eba\u5de5\u667a\u80fd\u7cfb\u7edf\u3002<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"\u4eba\u5de5\u667a\u80fd\uff08AI\uff09\u5f00\u53d1\u901a\u5e38\u91c7\u7528\u7684\u8bed\u8a00\u6709Python\u3001Java\u3001R\u3001Lisp\u3001Prolog\u7b49\u3002\u5728\u8fd9\u4e9b\u9009\u9879\u4e2d\uff0cPyt […]","protected":false},"author":3,"featured_media":152013,"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\/152010"}],"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=152010"}],"version-history":[{"count":0,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/152010\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/152013"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=152010"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=152010"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=152010"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}