\u673a\u5668\u5b66\u4e60<\/a>\u7684\u5b50\u96c6\uff0c\u5b83\u901a\u8fc7\u795e\u7ecf\u7f51\u7edc\u6a21\u4eff\u4eba\u8111\u5206\u6790\u548c\u5904\u7406\u6570\u636e\u7684\u65b9\u5f0f\u3002\u6df1\u5ea6\u5b66\u4e60\u7b97\u6cd5\u80fd\u591f\u5728\u5927\u91cf\u6570\u636e\u4e2d\u5b66\u4e60\u590d\u6742\u7684\u8868\u793a\uff0c\u7528\u4e8e\u56fe\u50cf\u548c\u8bed\u97f3\u8bc6\u522b\u3001\u81ea\u7136\u8bed\u8a00\u7406\u89e3\u7b49\u591a\u79cd\u4efb\u52a1\u3002<\/p>\n<\/p>\n\u795e\u7ecf\u7f51\u7edc\u57fa\u7840<\/h4>\n<\/p>\n
\u6df1\u5ea6\u5b66\u4e60\u7684\u6838\u5fc3\u662f\u795e\u7ecf\u7f51\u7edc\uff0c\u5b83\u4eec\u7531\u591a\u5c42\u7684\u8282\u70b9\uff08\u6216\u79f0\u795e\u7ecf\u5143\uff09\u7ec4\u6210\uff0c\u6bcf\u5c42\u8282\u70b9\u901a\u8fc7\u6fc0\u6d3b\u51fd\u6570\u975e\u7ebf\u6027\u8f6c\u6362\u8f93\u5165\uff0c\u5e76\u4f20\u7ed9\u4e0b\u4e00\u5c42\u3002\u6743\u91cd\u548c\u504f\u5dee\u63a7\u5236\u7740\u8282\u70b9\u95f4\u7684\u8fde\u63a5\u5f3a\u5ea6\uff0c\u800c\u901a\u8fc7\u53cd\u5411\u4f20\u64ad\u7b97\u6cd5\u548c\u68af\u5ea6\u4e0b\u964d\u6280\u672f\u8c03\u6574\u8fd9\u4e9b\u53c2\u6570\u4ee5\u6700\u5c0f\u5316\u8bef\u5dee\u3002<\/p>\n<\/p>\n
\u91cd\u8981\u7684\u6df1\u5ea6\u5b66\u4e60\u7b97\u6cd5<\/h4>\n<\/p>\n
\u6df1\u5ea6\u5b66\u4e60\u9886\u57df\u6709\u51e0\u4e2a\u5173\u952e\u7b97\u6cd5\uff0c\u5305\u62ec\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\uff08CNN\uff09\u3001\u5faa\u73af\u795e\u7ecf\u7f51\u7edc\uff08RNN\uff09\u3001\u957f\u77ed\u671f\u8bb0\u5fc6\u7f51\u7edc\uff08LSTM\uff09\u548c\u751f\u6210\u5bf9\u6297\u7f51\u7edc\uff08GAN\uff09\u3002\u5b83\u4eec\u5404\u81ea\u9002\u7528\u4e8e\u4e0d\u540c\u7c7b\u578b\u7684\u6570\u636e\u548c\u4efb\u52a1\u3002<\/p>\n<\/p>\n
\u4e8c\u3001\u6df1\u5ea6\u5b66\u4e60\u5728Java\u540e\u53f0\u7684\u5e94\u7528\u573a\u666f<\/h3>\n<\/p>\n
Java\u540e\u53f0\u5f00\u53d1\u8005\u5728\u5b66\u4e60\u6df1\u5ea6\u5b66\u4e60\u65f6\uff0c\u4e0d\u4ec5\u9700\u8981\u4e86\u89e3\u6df1\u5ea6\u5b66\u4e60\u6280\u672f\u672c\u8eab\uff0c\u8fd8\u8981\u638c\u63e1\u5b83\u5728\u5b9e\u9645\u5f00\u53d1\u4e2d\u7684\u5e94\u7528\u573a\u666f<\/strong>\u3002<\/p>\n<\/p>\n\u63a8\u8350\u7cfb\u7edf<\/h4>\n<\/p>\n
\u63a8\u8350\u7cfb\u7edf\u662f\u6df1\u5ea6\u5b66\u4e60\u5e94\u7528\u4e8eJava\u540e\u53f0\u5f00\u53d1\u4e2d\u7684\u5178\u578b\u6848\u4f8b<\/strong>\u3002\u901a\u8fc7\u6df1\u5ea6\u5b66\u4e60\u7b97\u6cd5\uff0c\u53ef\u4ee5\u5206\u6790\u7528\u6237\u7684\u884c\u4e3a\u548c\u504f\u597d\uff0c\u4e3a\u7528\u6237\u63a8\u8350\u4ed6\u4eec\u53ef\u80fd\u611f\u5174\u8da3\u7684\u5185\u5bb9\u3002<\/p>\n<\/p>\n\u81ea\u7136\u8bed\u8a00\u5904\u7406<\/h4>\n<\/p>\n
\u81ea\u7136\u8bed\u8a00\u5904\u7406\uff08NLP\uff09\u662f\u53e6\u4e00\u4e2a\u91cd\u8981\u9886\u57df\u3002\u5b83\u5305\u62ec\u8bed\u97f3\u8bc6\u522b\u3001\u673a\u5668\u7ffb\u8bd1\u548c\u60c5\u611f\u5206\u6790\u7b49\uff0c\u5728\u5ba2\u6237\u670d\u52a1\u7cfb\u7edf\u4e2d\uff0c\u53ef\u4ee5\u901a\u8fc7NLP\u6280\u672f\u6765\u7406\u89e3\u548c\u5904\u7406\u7528\u6237\u7684\u67e5\u8be2\u3002<\/p>\n<\/p>\n
\u4e09\u3001\u5b66\u4e60Java\u6df1\u5ea6\u5b66\u4e60\u5e93<\/h3>\n<\/p>\n
\u4e3a\u4e86\u5728Java\u540e\u53f0\u5f00\u53d1\u4e2d\u5b9e\u8df5\u6df1\u5ea6\u5b66\u4e60\uff0c\u638c\u63e1\u6df1\u5ea6\u5b66\u4e60\u5e93\u975e\u5e38\u91cd\u8981<\/strong>\u3002\u5982\u4eca\uff0c\u6709\u591a\u4e2a\u6df1\u5ea6\u5b66\u4e60\u5e93\u652f\u6301Java\u8bed\u8a00\u63a5\u53e3\uff0c\u4f7f\u5f97Java\u5f00\u53d1\u8005\u53ef\u4ee5\u66f4\u5bb9\u6613\u5730\u5b9e\u73b0\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u3002<\/p>\n<\/p>\nDeeplearning4j<\/h4>\n<\/p>\n
Deeplearning4j\u662f\u4e13\u4e3aJava\u548cJVM\u8bed\u8a00\u8bbe\u8ba1\u7684\uff0c\u4e00\u6b3e\u5f00\u6e90\u7684\u5546\u4e1a\u7ea7\u6df1\u5ea6\u5b66\u4e60\u5e93\u3002\u901a\u8fc7Deeplearning4j\uff0cJava\u5f00\u53d1\u8005\u53ef\u4ee5\u8f7b\u677e\u5b9e\u73b0\u591a\u5c42\u795e\u7ecf\u7f51\u7edc\u3001\u5faa\u73af\u795e\u7ecf\u7f51\u7edc\u548c\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u7b49\u7b97\u6cd5\u3002<\/p>\n<\/p>\n
TensorFlow Java<\/h4>\n<\/p>\n
TensorFlow\u662f\u76ee\u524d\u6700\u6d41\u884c\u7684\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\u4e4b\u4e00\uff0c\u5b83\u4e5f\u63d0\u4f9b\u4e86Java API\u652f\u6301\u3002\u901a\u8fc7TensorFlow Java\uff0c\u5f00\u53d1\u8005\u80fd\u591f\u5728Java\u5e94\u7528\u7a0b\u5e8f\u4e2d\u5229\u7528TensorFlow\u8fdb\u884c\u6df1\u5ea6\u5b66\u4e60\u4efb\u52a1\u3002<\/p>\n<\/p>\n
\u56db\u3001\u6df1\u5165\u6570\u5b66\u548c\u7b97\u6cd5\u7406\u89e3<\/h3>\n<\/p>\n
\u6df1\u5ea6\u5b66\u4e60\u80cc\u540e\u7684\u6570\u5b66\u539f\u7406\u76f8\u5f53\u590d\u6742\uff0cJava\u540e\u53f0\u5f00\u53d1\u8005\u9700\u8981\u6709\u624e\u5b9e\u7684\u6570\u5b66\u548c\u7b97\u6cd5\u57fa\u7840<\/strong>\u3002<\/p>\n<\/p>\n\u7ebf\u6027\u4ee3\u6570\u548c\u5fae\u79ef\u5206<\/h4>\n<\/p>\n
\u7ebf\u6027\u4ee3\u6570\u548c\u5fae\u79ef\u5206\u662f\u6df1\u5ea6\u5b66\u4e60\u6700\u57fa\u672c\u7684\u6570\u5b66\u5de5\u5177\u3002\u77e9\u9635\u8fd0\u7b97\u3001\u5411\u91cf\u7a7a\u95f4\u548c\u5fae\u5206\u65b9\u7a0b\u5728\u795e\u7ecf\u7f51\u7edc\u7684\u5efa\u6a21\u548c\u5b66\u4e60\u4e2d\u5360\u636e\u6838\u5fc3\u5730\u4f4d\u3002<\/p>\n<\/p>\n
\u6982\u7387\u8bba\u548c\u7edf\u8ba1<\/h4>\n<\/p>\n
\u6982\u7387\u8bba\u548c\u7edf\u8ba1\u662f\u673a\u5668\u5b66\u4e60\u7684\u53e6\u4e00\u9879\u57fa\u77f3\u3002\u4e86\u89e3\u6982\u7387\u5206\u5e03\u3001\u671f\u671b\u3001\u65b9\u5dee\u4ee5\u53ca\u5982\u4f55\u5728\u4e0d\u786e\u5b9a\u6027\u6761\u4ef6\u4e0b\u8fdb\u884c\u63a8\u65ad\u5bf9\u4e8e\u7406\u89e3\u548c\u8bbe\u8ba1\u590d\u6742\u7684\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u81f3\u5173\u91cd\u8981\u3002<\/p>\n<\/p>\n
\u4e94\u3001\u5b9e\u8df5\u9879\u76ee\u7ecf\u9a8c<\/h3>\n<\/p>\n
\u7406\u8bba\u5b66\u4e60\u662f\u57fa\u7840\uff0c\u4f46\u901a\u8fc7\u5b9e\u8df5\u9879\u76ee\u6765\u5de9\u56fa\u77e5\u8bc6\u662f\u4e0d\u53ef\u66ff\u4ee3\u7684<\/strong>\u3002\u901a\u8fc7\u53c2\u4e0e\u5b9e\u9645\u7684\u6df1\u5ea6\u5b66\u4e60\u9879\u76ee\uff0cJava\u540e\u53f0\u5f00\u53d1\u8005\u53ef\u4ee5\u5c06\u7406\u8bba\u5e94\u7528\u4e8e\u5b9e\u8df5\uff0c\u89e3\u51b3\u5b9e\u9645\u95ee\u9898\u3002<\/p>\n<\/p>\n\u642d\u5efa\u5b9e\u9a8c\u73af\u5883<\/h4>\n<\/p>\n
\u5f00\u53d1\u8005\u5e94\u8be5\u5148\u642d\u5efa\u4e00\u4e2a\u80fd\u591f\u8fdb\u884c\u6df1\u5ea6\u5b66\u4e60\u5b9e\u9a8c\u7684\u73af\u5883\uff0c\u5305\u62ec\u914d\u7f6e\u597d\u7684\u5f00\u53d1\u5de5\u5177\u3001\u5e93\u548c\u6240\u9700\u7684\u786c\u4ef6\u8d44\u6e90\uff08\u5982GPU\uff09\u3002\u8fd9\u6709\u52a9\u4e8e\u5feb\u901f\u5f00\u59cb\u5b9e\u8df5\u5e76\u6d4b\u8bd5\u4e0d\u540c\u7684\u6a21\u578b\u3002<\/p>\n<\/p>\n
\u53c2\u4e0e\u9879\u76ee\u548c\u7ade\u8d5b<\/h4>\n<\/p>\n
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\u901a\u8fc7\u4e0a\u8ff0\u5b66\u4e60\u8def\u7ebf\uff0cJava\u540e\u53f0\u5f00\u53d1\u8005\u53ef\u4ee5\u9010\u6b65\u638c\u63e1\u6df1\u5ea6\u5b66\u4e60\u76f8\u5173\u77e5\u8bc6\uff0c\u5e76\u5728\u540e\u53f0\u7cfb\u7edf\u4e2d\u5b9e\u65bd\u8fd9\u4e9b\u9ad8\u7ea7\u6280\u672f\u3002\u8fd9\u4e0d\u4ec5\u53ef\u4ee5\u63d0\u5347\u7cfb\u7edf\u7684\u667a\u80fd\u5316\u6c34\u5e73\uff0c\u4e5f\u80fd\u4e3a\u5f00\u53d1\u8005\u4e2a\u4eba\u7684\u804c\u4e1a\u53d1\u5c55\u5e26\u6765\u66f4\u591a\u673a\u4f1a\u3002<\/p>\n<\/p>\n
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2. \u5982\u4f55\u5f00\u59cb\u5b66\u4e60\u6df1\u5ea6\u5b66\u4e60\u4e0eJava\u540e\u53f0\u5f00\u53d1\uff1f<\/strong><\/p>\n\u5bf9\u4e8e\u60f3\u8981\u5b66\u4e60\u6df1\u5ea6\u5b66\u4e60\u548cJava\u540e\u53f0\u5f00\u53d1\u7684\u4eba\u6765\u8bf4\uff0c\u5efa\u8bae\u5148\u4e86\u89e3Java\u8bed\u8a00\u7684\u57fa\u7840\u77e5\u8bc6\u548c\u540e\u53f0\u5f00\u53d1\u7684\u57fa\u672c\u6982\u5ff5\u3002\u4e4b\u540e\u53ef\u4ee5\u5b66\u4e60Java\u673a\u5668\u5b66\u4e60\u6846\u67b6\uff0c\u5982DL4J\u3001JavaNN\u7b49\uff0c\u8fd9\u4e9b\u6846\u67b6\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u6df1\u5ea6\u5b66\u4e60\u5de5\u5177\u548c\u7b97\u6cd5\u3002\u540c\u65f6\uff0c\u5b66\u4e60\u6570\u5b66\u57fa\u7840\uff0c\u5982\u7ebf\u6027\u4ee3\u6570\u3001\u6982\u7387\u8bba\u548c\u7edf\u8ba1\u5b66\uff0c\u5bf9\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u7406\u89e3\u548c\u5e94\u7528\u4e5f\u975e\u5e38\u91cd\u8981\u3002<\/p>\n
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