{"id":193,"date":"2024-06-17T21:50:02","date_gmt":"2024-06-17T21:50:02","guid":{"rendered":"https:\/\/www.finally.mobi\/?p=193"},"modified":"2024-10-28T20:22:05","modified_gmt":"2024-10-28T20:22:05","slug":"intrduction-to-recurrent-neural-network-rnn","status":"publish","type":"post","link":"https:\/\/www.finally.mobi\/zh\/2024\/06\/17\/intrduction-to-recurrent-neural-network-rnn\/","title":{"rendered":"\u5faa\u73af\u795e\u7ecf\u7f51\u7edc\uff08RNN\uff09\u7b80\u4ecb"},"content":{"rendered":"

A \u5faa\u73af\u795e\u7ecf\u7f51\u7edc (RNN)<\/strong> \u662f\u4e00\u79cd\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\uff0c\u7528\u4e8e\u5904\u7406\u987a\u5e8f\u6570\u636e\u6216\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u3002\u4e0e\u4f20\u7edf\u7684\u524d\u9988\u795e\u7ecf\u7f51\u7edc\u4e0d\u540c\uff0cRNN \u5177\u6709\u5185\u90e8\u5b58\u50a8\u5668\uff0c\u53ef\u5904\u7406\u8f93\u5165\u5e8f\u5217\u3002\u4ee5\u4e0b\u662f\u6709\u5173 RNN \u7684\u4e00\u4e9b\u8981\u70b9\uff1a<\/p>\n\n\n\n

    \n
  1. \u5efa\u7b51\u5b66<\/strong>:\n
      \n
    • RNN \u7684\u7279\u70b9\u662f\u5176\u5c42\u4e4b\u95f4\u7684\u4fe1\u606f\u6d41\u52a8\u3002\u5b83\u4eec\u5141\u8bb8\u53cc\u5411\u901a\u4fe1\uff0c\u8fd9\u610f\u5473\u7740\u67d0\u4e9b\u8282\u70b9\u7684\u8f93\u51fa\u53ef\u4ee5\u5f71\u54cd\u540c\u4e00\u8282\u70b9\u7684\u540e\u7eed\u8f93\u5165\u3002<\/li>\n\n\n\n
    • \u8fd9\u4e9b\u7f51\u7edc\u8868\u73b0\u51fa\u65f6\u95f4\u52a8\u6001\u884c\u4e3a\uff0c\u4f7f\u5176\u9002\u5408\u6d89\u53ca\u5e8f\u5217\u7684\u4efb\u52a1\uff0c\u4f8b\u5982\u8bed\u97f3\u8bc6\u522b\u548c\u624b\u5199\u8bc6\u522b\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n
    • \u8bb0\u5fc6\u548c\u5e8f\u5217\u5904\u7406<\/strong>:\n
        \n
      • RNN \u4f7f\u7528\u5176\u5185\u90e8\u72b6\u6001\uff08\u8bb0\u5fc6\uff09\u6765\u5904\u7406\u4efb\u610f\u8f93\u5165\u5e8f\u5217\u3002\u8fd9\u79cd\u8bb0\u4f4f\u8fc7\u53bb\u4fe1\u606f\u7684\u80fd\u529b\u5bf9\u4e8e\u5904\u7406\u65f6\u95f4\u76f8\u5173\u6a21\u5f0f\u81f3\u5173\u91cd\u8981\u3002<\/li>\n\n\n\n
      • \u5e94\u7528\u5305\u62ec\uff1a\n
          \n
        • \u8054\u7f51\u624b\u5199\u8bc6\u522b<\/strong>\uff1aRNN \u53ef\u4ee5\u8bc6\u522b\u672a\u5206\u5272\u7684\u3001\u8fde\u7eed\u7684\u7b14\u8ff9\u3002<\/li>\n\n\n\n
        • \u8bed\u97f3\u8bc6\u522b<\/strong>\uff1aRNN \u64c5\u957f\u8f6c\u5f55\u53e3\u8bed\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n\n\n\n
        • RNN \u7684\u7c7b\u578b<\/strong>:\n
            \n
          • \u539f\u59cb RNN<\/strong>\uff1a\u57fa\u672c\u7684 RNN \u67b6\u6784\uff0c\u4f46\u5b83\u53d7\u5230\u68af\u5ea6\u6d88\u5931\u95ee\u9898\u7684\u5f71\u54cd\uff0c\u9650\u5236\u4e86\u5176\u6355\u6349\u957f\u671f\u4f9d\u8d56\u5173\u7cfb\u7684\u80fd\u529b\u3002<\/li>\n\n\n\n
          • \u957f\u77ed\u671f\u8bb0\u5fc6\uff08LSTM\uff09<\/strong>\uff1aLSTM \u4e8e 1997 \u5e74\u53d1\u660e\uff0c\u89e3\u51b3\u4e86\u68af\u5ea6\u6d88\u5931\u95ee\u9898\u3002\u5b83\u4eec\u5177\u6709\u8bb0\u5fc6\u5355\u5143\uff0c\u53ef\u8ba9\u5176\u5728\u8f83\u957f\u7684\u5e8f\u5217\u4e2d\u4fdd\u7559\u4fe1\u606f\u3002<\/li>\n\n\n\n
          • \u95e8\u63a7\u5faa\u73af\u5355\u5143 (GRU)<\/strong>\uff1a\u4e0e LSTM \u7c7b\u4f3c\uff0c\u4f46\u7ed3\u6784\u7b80\u5316\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n
          • \u8bad\u7ec3\u548c\u968f\u65f6\u95f4\u53cd\u5411\u4f20\u64ad\uff08BPTT\uff09<\/strong>:\n
              \n
            • RNN \u901a\u8fc7\u53cd\u5411\u4f20\u64ad\u8fdb\u884c\u5b66\u4e60\uff0c\u6839\u636e\u8bad\u7ec3\u671f\u95f4\u7684\u9519\u8bef\u8c03\u6574\u6743\u91cd\u3002<\/li>\n\n\n\n
            • BPTT \u901a\u8fc7\u53ca\u65f6\u5c55\u5f00\u7f51\u7edc\u5e76\u5728\u65f6\u95f4\u6b65\u9aa4\u4e2d\u5e94\u7528\u68af\u5ea6\u6765\u6269\u5c55\u53cd\u5411\u4f20\u64ad\u4ee5\u5904\u7406\u5e8f\u5217\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n
            • \u56fe\u7075\u5b8c\u5907\u6027<\/strong>:\n
                \n
              • \u7406\u8bba\u4e0a\uff0cRNN \u662f\u56fe\u7075\u5b8c\u5907\u7684\uff0c\u8fd9\u610f\u5473\u7740\u5b83\u4eec\u53ef\u4ee5\u8ba1\u7b97\u4efb\u4f55\u53ef\u8ba1\u7b97\u51fd\u6570\u3002\u5b83\u4eec\u53ef\u4ee5\u8fd0\u884c\u4efb\u610f\u7a0b\u5e8f\u6765\u5904\u7406\u4e0d\u540c\u7684\u8f93\u5165\u5e8f\u5217\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n
              • \u5386\u53f2<\/strong>:\n
                  \n
                • Ising \u6a21\u578b\u662f RNN \u7684\u65e9\u671f\u5f62\u5f0f\uff0c\u4e8e 1925 \u5e74\u63d0\u51fa\u3002<\/li>\n\n\n\n
                • LSTM \u4e8e 1997 \u5e74\u53d1\u660e\uff0c\u5728\u5404\u4e2a\u9886\u57df\u521b\u4e0b\u4e86\u51c6\u786e\u7387\u8bb0\u5f55\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n\n\n\n

                  \u603b\u800c\u8a00\u4e4b\uff0cRNN \u5728\u5904\u7406\u5e8f\u5217\u6570\u636e\u65b9\u9762\u53d1\u6325\u7740\u81f3\u5173\u91cd\u8981\u7684\u4f5c\u7528\uff0c\u4f7f\u5176\u6210\u4e3a\u4ece\u81ea\u7136\u8bed\u8a00\u5904\u7406\u5230\u80a1\u7968\u4ef7\u683c\u9884\u6d4b\u7b49\u5404\u79cd\u4efb\u52a1\u4e2d\u4e0d\u53ef\u6216\u7f3a\u7684\u4e00\u90e8\u5206\u3002\u5b83\u4eec\u80fd\u591f\u968f\u7740\u65f6\u95f4\u7684\u63a8\u79fb\u8bb0\u4f4f\u4e0a\u4e0b\u6587\uff0c\u8fd9\u4f7f\u5b83\u4eec\u5728\u795e\u7ecf\u7f51\u7edc\u9886\u57df\u4e2d\u8131\u9896\u800c\u51fa\u3002\u00a0<\/p>","protected":false},"excerpt":{"rendered":"

                  A Recurrent Neural Network (RNN) is a type of artificial neural network designed to handle sequential data or time series data. Unlike traditional feedforward neural networks, RNNs have an internal memory that allows them to process sequences of inputs. Here are some key points about RNNs: In summary, RNNs play a crucial role in handling sequential data, […]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-193","post","type-post","status-publish","format-standard","hentry","category-general"],"_links":{"self":[{"href":"https:\/\/www.finally.mobi\/zh\/wp-json\/wp\/v2\/posts\/193","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.finally.mobi\/zh\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.finally.mobi\/zh\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.finally.mobi\/zh\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.finally.mobi\/zh\/wp-json\/wp\/v2\/comments?post=193"}],"version-history":[{"count":2,"href":"https:\/\/www.finally.mobi\/zh\/wp-json\/wp\/v2\/posts\/193\/revisions"}],"predecessor-version":[{"id":206,"href":"https:\/\/www.finally.mobi\/zh\/wp-json\/wp\/v2\/posts\/193\/revisions\/206"}],"wp:attachment":[{"href":"https:\/\/www.finally.mobi\/zh\/wp-json\/wp\/v2\/media?parent=193"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.finally.mobi\/zh\/wp-json\/wp\/v2\/categories?post=193"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.finally.mobi\/zh\/wp-json\/wp\/v2\/tags?post=193"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}