{"id":4546,"date":"2017-07-22T01:00:00","date_gmt":"2017-07-21T17:00:00","guid":{"rendered":"http:\/\/swarma.org\/%swarma-paper%\/"},"modified":"2018-12-06T00:30:39","modified_gmt":"2018-12-05T16:30:39","slug":"%e6%b7%b1%e5%ba%a6%e7%a5%9e%e7%bb%8f%e7%bd%91%e7%bb%9cdnn%e6%98%af%e5%90%a6%e6%a8%a1%e6%8b%9f%e4%ba%86%e4%ba%ba%e7%b1%bb%e5%a4%a7%e8%84%91%e7%9a%ae%e5%b1%82%e7%bb%93%e6%9e%84%ef%bc%9f","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=4546","title":{"rendered":"\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc(DNN)\u662f\u5426\u6a21\u62df\u4e86\u4eba\u7c7b\u5927\u8111\u76ae\u5c42\u7ed3\u6784\uff1f"},"content":{"rendered":"
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\"\u96c6\u667a\"<\/p>\n

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\u6765\u6e90\uff1aAI\u79d1\u6280\u5927\u672c\u8425 \u5fae\u4fe1\u53f7<\/span><\/p>\n

\u6982\u8981\uff1a\u4eba\u5de5\u667a\u80fd\u4ea4\u878d\u4e86\u8bf8\u591a\u5b66\u79d1\uff0c\u800c\u76ee\u524d\u5bf9\u4eba\u5de5\u667a\u80fd\u7684\u63a2\u7d22\u8fd8\u5904\u4e8e\u6d45\u5c42\u9762\uff0c\u6211\u4eec\u9700\u8981\u4ece\u4e0d\u540c\u89d2\u5ea6\u548c\u5c42\u6b21\u6765\u601d\u8003\uff0c\u6bd4\u5982\u4eba\u5de5\u667a\u80fd\u548c\u5927\u8111\u7684\u5173\u7cfb\u3002<\/span><\/p>\n

\u539f\u4f5c\u8005\uff1aHarold Yue<\/span><\/p>\n<\/blockquote>\n

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1<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

\u795e\u7ecf\u5143<\/strong><\/span><\/p>\n

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\u4fe1\u53f7\u7f16\u7801\u65b9\u5f0f<\/span><\/strong><\/p>\n

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3<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

\u795e\u7ecf\u7f51\u7edc\u7684\u7ed3\u6784<\/span><\/strong><\/span><\/p>\n

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DNN:<\/span><\/strong><\/section>\n<\/section>\n<\/section>\n

\"\u96c6\u667a\"<\/p>\n

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CNN\uff1a<\/span><\/strong><\/section>\n<\/section>\n<\/section>\n

\"\u96c6\u667a\"
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\u51fa\u5904\uff1a AlexNet<\/span><\/strong><\/span><\/p>\n<\/blockquote>\n

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RNN\uff1a<\/span><\/strong><\/section>\n<\/section>\n<\/section>\n


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\"\u96c6\u667a\"
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\u51fa\u5904\uff1a Understanding LSTM Networks<\/span><\/strong><\/span><\/p>\n

http:\/\/colah.github.io\/posts\/2015-08-Understanding-LSTMs\/<\/span><\/strong><\/p>\n<\/blockquote>\n

\u795e\u7ecf\u79d1\u5b66\u91cc\u9762\u7684\u7f51\u7edc\u7ed3\u6784\uff0c\u6b64\u5904\u4ee5V1 \u4e3a\u4f8b\uff1a<\/span><\/p>\n

\"\u96c6\u667a\"<\/p>\n

\"\u96c6\u667a\"<\/p>\n

\u548c\u5927\u5bb6\u60f3\u7684\u4e0d\u540c\uff0c\u89c6\u89c9\u533a\u5206\u4e86V1\uff0cV2\uff0cV3\uff0cV4\uff0cV5\uff08MT\uff09\uff0c\u4e0a\u9762\u8fd8\u6709FFA\uff0c \u548c\u4e00\u4e9b\u638c\u7ba1\u66f4\u9ad8\u7ea7\u529f\u80fd\u7684\u8111\u533a\u3002\u5728\u8fd9\u91cc\u9762\u6bcf\u4e00\u4e2a\u5c0f\u7684\u89c6\u76ae\u5c42\u91cc\u9762\uff0c\u5e76\u4e0d\u662f\u7eaf\u7531\u795e\u7ecf\u5143\u4e92\u76f8\u8fde\u63a5\u6784\u6210\u7684\uff0c\u4ecd\u7136\u5b58\u5728\u4e0d\u540c\u7684\u5c42\u7ea7\u7ed3\u6784\u3002<\/strong>\u8fd9\u91cc\u53bbgoogle \u627e\u4e86\u4e00\u5f20\u56fe\uff0c\u4e0d\u7528\u7ba1\u5177\u4f53\u7684\u6587\u7ae0\uff0c\u4e3b\u8981\u8bf4\u660e\u7684\u662fV1 \u7684\u7cbe\u7ec6\u7ed3\u6784\u548c\u8fde\u63a5\u5173\u7cfb\u3002V1 \u7684\u4e3b\u8981\u529f\u80fd\u662f \u8bc6\u522b\u70b9\u548c\u4e0d\u540c\u89d2\u5ea6\u7684\u7ebf\u6bb5\uff08Hubel \u548cW \u5728\u4e0a\u4e16\u7eaa50\u5e74\u4ee3\u5728\u732b\u4e0a\u7684\u5de5\u4f5c\uff09\uff0c\u4f46\u662f\u5176\u5b9e\u4e0d\u6b62\u5982\u6b64\uff0cV1 \u8fd8\u5bf9\u989c\u8272\u6709\u4e00\u5b9a\u7684\u611f\u77e5\u3002<\/span><\/p>\n

\u5982\u679c\u5728\u8fd9\u4e2a\u5c42\u9762\u4f5c\u6bd4\u8f83\uff0c\u6211\u81ea\u5df1\u7684\u7406\u89e3\u662f\uff0c \u4eba\u7c7b\u795e\u7ecf\u7f51\u7edc\u662f DNN+ CNN + RNN \u518d\u52a0\u4e0a\u8109\u51b2\u4f5c\u4e3a\u7f16\u7801\u65b9\u5f0f\u3002\u5c42\u5185\u66f4\u50cfDNN\uff0c \u5c42\u95f4\u548cCNN \u5f88\u7c7b\u4f3c\uff0c\u5728\u65f6\u95f4\u4e0a\u5c55\u5f00\u5c31\u662fRNN\u3002<\/span><\/p>\n

\u597d\uff0c\u6211\u4eec\u7ee7\u7eed\u3002<\/span><\/p>\n

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4<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

\u8bad\u7ec3\u65b9\u5f0f<\/strong><\/span><\/h2>\n

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\"\u96c6\u667a\"
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\u6765\u6e90\u6587\u7ae0\uff1a Towards Biologically Plausible Error Signal Transmission in Neural Networks<\/span><\/strong><\/span><\/p>\n

https:\/\/arxiv.org\/abs\/1702.07097<\/span><\/strong><\/span><\/p>\n<\/blockquote>\n

\u6211\u4eec\u7684\u5927\u8111\uff0c\u66f4\u50cf\u6700\u540e DFA \u7684\u539f\u7406\u3002\u51fa\u9519\u4e86\uff0c\u628a\u8bef\u5dee\u9001\u5230\u4e00\u4e2a\u66f4\u9760\u8fd1\u8f93\u5165\u7684\u5730\u65b9\uff0c\u7136\u540e\u91cd\u65b0\u8bad\u7ec3\u3002<\/span><\/p>\n

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\u8bb0\u5fc6\u548c\u9057\u5fd8<\/span><\/strong><\/span><\/h2>\n

\u63d0\u5230\u8bb0\u5fc6\u7684\u8bdd\uff0c\u8fd9\u91cc\u4e3b\u8981\u8bf4\u7684\u662fLSTM\uff0c<\/span><\/strong> LSTM \u7684\u8bb0\u5fc6\u50a8\u5b58\u5728\u6bcf\u4e2a\u8282\u70b9\u7684\u6743\u91cd\u91cc\u9762\uff0c\u540c\u65f6\u6709\u4e13\u95e8\u7684 \u9057\u5fd8\u95e8 \u63a7\u5236\u9057\u5fd8\u901f\u7387\u3002\u8fd9\u4e9b\u90fd\u662f\u4ee5\u6570\u5b57\u7684\u5f62\u5f0f\u5b58\u50a8\u7684\u3002<\/span><\/p>\n

\u5728\u795e\u7ecf\u7cfb\u7edf\u91cc\u9762\uff0c\u8bb0\u5fc6\u7684\u5b58\u50a8\u662f\u7531\u4e00\u4e9b\u8111\u533a\u7684\u7a81\u89e6\u7684\u5f62\u6210\u548c\u6d88\u5931\u6765\u5b58\u50a8\u7684\u3002\u5176\u5b9e\u4ed6\u4eec\u6709\u4e00\u4e2a\u6bd4\u8f83\u5171\u901a\u7684\u5730\u65b9\u5728\u4e8e\uff0c\u4ed6\u4eec\u5728\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u90fd\u662f\u6e10\u53d8\u7684\u3002<\/strong>\u5f97\u76ca\u4e8e\u53cd\u5411\u4f20\u64ad\u673a\u5236\u548c \u795e\u7ecf\u7cfb\u7edf\u7684\u751f\u7269\u6027\uff0c\u4ed6\u4eec\u5728\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u548c\u5728\u4e0d\u65ad\u7684\u5b66\u4e60\u8fc7\u7a0b\u4e2d\u90fd\u53ea\u80fd\u4ee5\u4e00\u4e2a\u76f8\u5bf9\u6162\u7684\u901f\u5ea6\u53d1\u751f\u6539\u53d8\uff0c\u4ece\u5b66\u4e60\u901f\u7387\u89d2\u5ea6\u6765\u8bb2\uff0c\u4ed6\u4eec\u662f\u6bd4\u8f83\u76f8\u4f3c\u7684\u3002<\/span><\/p>\n

\u7136\u540e\u6211\u4eec\u6765\u8bf4\u9057\u5fd8\u3002\u9057\u5fd8\u5728LSTM \u91cc\u9762\u662f\u901a\u8fc7\u95e8\u6765\u63a7\u5236\u7684\uff0c\u5728\u795e\u7ecf\u7cfb\u7edf\u91cc\u9762\uff0c\u6211\u89c9\u5f97\u662f\u548cSTDP\u76f8\u5173\u7684\uff0c\u5b83\u7684\u57fa\u7840\u662f Hebb \u5047\u8bf4\uff0c Fire Together\uff0c Wire Together\uff0c \u540c\u6b65\u653e\u7535\u7684\u795e\u7ecf\u5143\u503e\u5411\u4e8e\u5efa\u7acb\u4e00\u4e2a\u66f4\u5f3a\u7684\u8fde\u63a5\u3002STDP \u62d3\u5c55\u4e86\u8fd9\u4e00\u70b9\uff0c\u8003\u8651\u4e86\u4e24\u795e\u7ecf\u5143\u653e\u7535\u7684\u5148\u540e\u987a\u5e8f\u5e26\u6765\u7684\u5f71\u54cd\u3002<\/span><\/p>\n

\"\u96c6\u667a\"<\/p>\n

\n

\u6765\u6e90\uff1aSynaptic Modification by Correlated Activity: Hebb&amp;amp;amp;amp;amp;amp;#x27;s Postulate Revisited<\/span><\/strong><\/p>\n

http:\/\/annualreviews.org\/doi\/abs\/10.1146\/annurev.neuro.24.1.139<\/span><\/strong><\/p>\n<\/blockquote>\n

\u7b80\u5355\u6765\u8bf4\uff0c\u5982\u679c\u7a81\u89e6\u524d\u795e\u7ecf\u5143\u653e\u7535\u5148\u4e8e\u7a81\u89e6\u540e\u795e\u7ecf\u5143\uff08\u795e\u7ecf\u5143\u4fe1\u53f7\u4f20\u5bfc\u5177\u6709\u65b9\u5411\u6027\uff0c\u4ece\u7a81\u89e6\u524d\u5230\u7a81\u89e6\u540e\uff09\uff0c\u8fd9\u4e2a\u7a81\u89e6\u4f1a\u8fdb\u5165\u4e00\u4e2aLTP \u957f\u65f6\u7a0b\u589e\u5f3a\u72b6\u6001\uff0c\u4f1a\u5bf9\u6765\u81ea\u7a81\u89e6\u524d\u7684\u4fe1\u53f7\u6709\u66f4\u5f3a\u7684\u53cd\u5e94\u3002\u53cd\u4e4b\uff0c\u5982\u679c\u7a81\u89e6\u524d\u795e\u7ecf\u5143\u653e\u7535\u540e\u4e8e\u7a81\u89e6\u540e\uff0c\u5219\u4f1a\u8fdb\u5165\u4e00\u4e2a\u957f\u65f6\u7a0b\u6291\u5236\u7684\u72b6\u6001\uff08\u8bf4\u660e\u4ed6\u4fe9\u5e76\u6ca1\u6709\u63a5\u6536\u5230\u76f8\u540c\u6765\u6e90\u7684\u4fe1\u53f7\uff0c\u4fe1\u53f7\u4e0d\u76f8\u5173\uff09\uff0c\u4e00\u6bb5\u65f6\u95f4\u7684\u53cd\u5e94\u66f4\u5f31\u3002<\/span><\/p>\n

\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u91cc\u9762\u95e8\u7684\u6743\u91cd\u4e5f\u662f \u53cd\u5411\u4f20\u64ad\u8bad\u7ec3\u51fa\u6765\u7684\uff0c\u4e5f\u6709\u6e10\u53d8\u7684\u8fd9\u4e2a\u6027\u8d28\uff0c<\/span><\/strong>\u5f53\u5bf9\u4e8e\u5feb\u901f\u53d8\u5316\u7684\u523a\u6fc0\uff0c\u6709\u4e00\u5b9a\u7684\u6ede\u540e\u3002\u4ece\u8fd9\u4e2a\u89d2\u5ea6\u6765\u8bf4\uff0c\u4eba\u7c7b\u795e\u7ecf\u7cfb\u7edf\u8981\u66f4\u7075\u6d3b\u4e00\u4e9b\uff0c\u53ef\u4ee5\u5728\u5f88\u77ed\u7684\u65f6\u95f4\u5185\u5b8c\u6210\u72b6\u6001\u7684\u5207\u6362\u3002<\/span><\/p>\n

\u89c9\u5f97\u60f3\u8bf4\u7684\u5927\u6982\u5c31\u662f\u8fd9\u4e9b\uff0c\u56e0\u4e3a\u6211\u81ea\u5df1\u505a\u7684\u7814\u7a76\u662f \u89c6\u89c9\u6ce8\u610f\uff0c\u66f4\u591a\u5728\u4eba\u8eab\u4e0a\u505a\uff0c\u6240\u4ee5\u5bf9\u4e8e\u4e2d\u95f4\u7684\u73af\u8def\u7ea7\u522b\u7684\u7814\u7a76\uff0c\u5e76\u4e0d\u662f\u7279\u522b\u7684\u719f\u6089\u3002\u518d\u5f80\u4e0a\uff0c\u8c08\u5230\u4eba\u7c7b\u5927\u8111\u76ae\u5c42\u7684\u5de5\u4f5c\uff0c\u4e2a\u4eba\u89c9\u5f97\u505a\u7684\u5341\u5206\u7684\u6709\u9650\uff0c\u5bf9\u4e8e\u5927\u90e8\u5206\u8111\u533a\uff0c\u6211\u4eec\u5e76\u4e0d\u77e5\u9053\u4ed6\u4eec\u662f\u600e\u4e48\u5de5\u4f5c\u7684\uff0c\u53ea\u662f\u80fd\u628a\u4e0d\u540c\u7684\u8111\u533a\u548c\u4e0d\u540c\u7684\u529f\u80fd\u5bf9\u5e94\u8d77\u6765\uff08\u8fd8\u4e0d\u4e00\u5b9a\u51c6\uff09\u3002\u5728\u8fd9\u4e2a\u89d2\u5ea6\u4e0a\u8c08\u4ed6\u4eec\u7684\u5f02\u540c\u662f\u4e0d\u592a\u8d1f\u8d23\u7684\u3002\u3002\u5bb9\u6613\u88ab\u6253\u8138\u3002<\/span><\/p>\n

\u63a5\u4e0b\u6765\u6211\u4f1a\u8bd5\u7740\u9080\u8bf7\u51e0\u4e2a\u670b\u53cb\u6765\u8bf4\u4e0b\u73af\u8def\u8fd9\u4e2a\u7ea7\u522b\u7684\u4e8b\u60c5\u3002\u7136\u540e\u4f1a\u627e\u5176\u4ed6\u540c\u884c\u5e2e\u6211\u6311\u9519\u548c\u8865\u5145\u3002\u5f88\u591a\u4e1c\u897f\u90fd\u662f\u6309\u7167\u8bb0\u5fc6\u5199\u7684\u3002\u4e00\u4e9b\u4e1c\u897f\u4e0d\u4e00\u5b9a\u51c6\u786e\u3002\u3002<\/span><\/p>\n

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6<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

\u6211\u7684\u89c2\u70b9<\/span><\/strong><\/span><\/h2>\n

\u6b63\u5982\u5728\u63d0\u7eb2\u91cc\u9762\u63d0\u5230\u7684\u3002 \u5bf9\u7684\u7b54\u6848\u5f80\u5f80\u7c7b\u4f3c\uff0c\u800c\u9519\u8bef\u7684\u7b54\u6848\u5404\u6709\u4e0d\u540c\u3002\u5730\u7403\u4e0a\u8fd9\u4e48\u591a\u9ad8\u7b49\u7684\u751f\u547d\u90fd\u6709\u7c7b\u4f3c\u7684\u5e95\u5c42\u7f51\u7edc\u7ed3\u6784\uff0c\u800c\u5176\u4e2d\u7684\u4e00\u79cd\u8fd8\u53d1\u5c55\u51fa\u4e86\u8fd9\u4e48\u4f1f\u5927\u7684\u6587\u660e\uff0c\u795e\u7ecf\u7f51\u7edc\u8fd9\u4e2a\u7ed3\u6784\uff0c\u81f3\u5c11\u5df2\u7ecf\u88ab\u6211\u4eec\u81ea\u5df1\u8bc1\u660e\u662f\u4e00\u79cd\u6709\u6548\u7684\u5f62\u5f0f\u3002\u4f46\u662f\u662f\u4e0d\u662f\u667a\u80fd\u8fd9\u4e2a\u5f62\u5f0f\u7684\u5168\u5c40\u6700\u4f18\u89e3\uff1f\u6211\u4e2a\u4eba\u6301\u6000\u7591\u6001\u5ea6\u3002<\/span><\/p>\n

\u795e\u7ecf\u7f51\u7edc\u662f\u4e00\u4e2a\u6709\u6548\u7684\u7ed3\u6784\uff0c\u6240\u4ee5\u5927\u5bb6\u7528\u8fd9\u4e2a\u7ed3\u6784\u505a\u51fa\u4e00\u4e9b\u5f88\u597d\u7684\u7ed3\u679c\uff0c\u6211\u4e00\u5b9a\u90fd\u4e0d\u5403\u60ca\u3002\u4f46\u662f\u5982\u679c\u8c08\u6a21\u62df\u7684\u8bdd\uff0c\u5c31\u662f\u5c3d\u529b\u8981\u5f80\u8fd9\u4e2a\u65b9\u5411\u9760\u3002\u8fd9\u70b9\u4e0a\uff0c\u6211\u4e2a\u4eba\u5e76\u4e0d\u662f\u5341\u5206\u770b\u597d\u8fd9\u79cd\u65b9\u5f0f\u3002\u6211\u4eec\u5411\u8759\u8760\u5b66\u4e60\u7528\u58f0\u97f3\u5b9a\u4f4d\uff0c\u53d1\u5c55\u7684\u58f0\u5450\u65e0\u8bba\u662f\u8ddd\u79bb\u8fd8\u662f\u6548\u679c\u90fd\u8fdc\u8d85\u8759\u8760\u3002\u6211\u4eec\u80fd\u8d85\u8fc7\u8759\u8760\u7684\u539f\u56e0\uff0c\u7b2c\u4e00\u662f\u6211\u4eec\u7684\u6280\u672f\u6709\u62d3\u5c55\u6027\uff0c\u5e95\u5c42\u539f\u7406\u5171\u901a\u7684\u60c5\u51b5\u4e0b\uff0c\u89e3\u51b3\u5de5\u7a0b\u548c\u673a\u68b0\u95ee\u9898\uff0c\u6211\u4eec\u53ef\u4ee5\u4e0d\u90a3\u4e48\u8f7b\u677e\u4f46\u662f\u4e5f\u505a\u5230\u4e86\u63a2\u6d4b\u51e0\u5343\u7c73\uff0c\u751a\u81f3\u51e0\u5341\u516c\u91cc\u3002\u7b2c\u4e8c\u4e2a\u539f\u56e0\u5c31\u662f\u6211\u4eec\u9700\u8981\u800c\u8759\u8760\u4e0d\u9700\u8981\uff0c\u4ed6\u4eec\u5929\u5929\u5728\u5c71\u6d1e\u91cc\u9762\u7761\u89c9\u3002\u3002\u54ea\u7528\u5f97\u7740\u63a2\u6d4b\u51e0\u5341\u516c\u91cc\u7684\u8ddd\u79bb\uff0c\u63a2\u5230\u4e86\u4e5f\u5403\u4e0d\u7740\u3002<\/span><\/p>\n

\u5176\u5b9e\u4eba\u7c7b\u5927\u8111\u4e5f\u5f88\u7c7b\u4f3c\uff0c\u5927\u8111\u662f\u4e00\u4e2a\u8fdb\u5316\u7684\u4ea7\u7269\u3002\u662f\u7531\u73af\u5883\u4e0d\u65ad\u5851\u9020\u800c\u6210\u7684\uff0c\u4eba\u4e3a\u4ec0\u4e48\u6ca1\u8fdb\u5316\u51fa\u8ba1\u7b97\u673a\u4e00\u6837\u7684\u8ba1\u7b97\u80fd\u529b\uff0c\u56e0\u4e3a\u4e0d\u9700\u8981\u3002\u4f46\u662f\u5176\u5b9e\u53cd\u8fc7\u6765\u4e5f\u6709\u4e00\u5b9a\u7684\u5171\u901a\u7684\u5730\u65b9\uff0c\u5927\u8111\u91cc\u9762\u7684\u4e00\u4e9b\u4e1c\u897f\uff0c\u6211\u4eec\u4e5f\u4e0d\u9700\u8981\uff0c\u6211\u4eec\u5343\u767e\u5e74\u6765\u5fcd\u9965\u6328\u997f\u8fdb\u5316\u51fa\u7684 \u5bf9\u4e8e\u8102\u80aa\u6444\u5165\u7684\u9700\u6c42\uff0c\u5728\u513f\u7ae5\u65f6\u671f\u5bf9\u4e8e\u7cd6\u7c7b\u6444\u53d6\u7684\u9700\u6c42\u3002\u8fd9\u4e48\u8bf4\u7684\u8bdd\uff0c\u6211\u4eec\u5bf9\u4e8e\u5927\u8111\uff0c\u540c\u6837\u53bb\u5176\u7cdf\u7c95\uff0c\u53d6\u5176\u7cbe\u534e\u4e0d\u662f\u66f4\u597d\u5417\uff1f<\/span><\/p>\n

\u6211\u4e0a\u9762\u63d0\u5230\u7684\u662f\u4e00\u4e2a\u7406\u60f3\u7684\u60c5\u51b5\uff0c\u6211\u4eec\u5bf9\u5927\u8111\u5df2\u7ecf\u4e86\u89e3\u7684\u6bd4\u8f83\u900f\u5f7b\u7684\uff0c\u77e5\u9053\u8be5\u53bb\u6389\u54ea\uff0c\u7559\u4e0b\u54ea\u3002\u4f46\u662f\u73b0\u5728……\u53ef\u80fd\u8fd8\u8981\u8d70\u4e00\u6bb5\u6a21\u62df\u7684\u8def\u5b50\u3002<\/span><\/p>\n

\u603b\u7ed3\u4e00\u4e0b\uff0c\u5c31\u662f\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u548c\u5927\u8111\u76ae\u5c42\u6709\u5171\u901a\u7684\u5730\u65b9\uff0c\u4f46\u662f\u5e76\u4e0d\u80fd\u7b97\u662f\u6a21\u62df\u3002\u53ea\u662f\u5927\u5bb6\u90fd\u627e\u5230\u4e86\u89e3\u9898\u7684\u540c\u4e00\u4e2a\u601d\u8def\u800c\u5df2\u3002<\/span><\/p>\n


<\/span><\/p>\n

\u62d3\u5c55\u9605\u8bfb\u4ee5<\/span><\/strong><\/span>\u53ca\u53c2\u8003\u6587\u732e<\/span><\/strong><\/p>\n


<\/span><\/strong><\/p>\n

\n

\u4ece\u79d1\u7814\u5230\u8111\u79d1\u5b66 – \u77e5\u4e4e\u4e13\u680f\uff1a<\/span>https:\/\/zhuanlan.zhihu.com\/Vis<\/span>Neuro<\/span>Understanding LSTM Networks<\/span><\/p>\n

http:\/\/colah.github.io\/posts\/2015-08-Understanding-LSTMs\/<\/span><\/p>\n

AlexNet: ImageNet Classification with Deep Convolutional Neural Networks<\/span><\/p>\n

http:\/\/papers.nips.cc\/paper\/4824-imagenet-classification-with-deep-convolutional-neural-networks<\/span>Towards Biologically Plausible Error Signal Transmission in Neural Networks<\/span><\/p>\n

https:\/\/arxiv.org\/abs\/1702.07097<\/span><\/p>\n

STDP: Synaptic Modification by Correlated Activity: Hebb&amp;amp;amp;amp;amp;amp;#x27;s Postulate Revisited<\/span><\/p>\n

http:\/\/annualreviews.org\/doi\/abs\/10.1146\/annurev.neuro.24.1.139<\/span><\/p>\n

\u795e\u7ecf\u5143\u5bf9\u4e00\u5b9a\u95f4\u9694\u4fe1\u53f7\u53cd\u5e94\uff1a Learned response sequences in cerebellar Purkinje cells<\/span><\/p>\n

http:\/\/www.pnas.org\/content\/114\/23\/6127.short<\/span><\/p>\n

\u539f\u6587\u5730\u5740\uff1a<\/span>https:\/\/www.zhihu.com\/question\/59800121\/answer\/184888043<\/span><\/p>\n<\/blockquote>\n


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\u96c6\u667aQQ\u7fa4\uff5c292641157
\u5546\u52a1\u5408\u4f5c\uff5czhangqian@swarma.org
\u6295\u7a3f\u8f6c\u8f7d\uff5cwangting@swarma.org<\/span><\/strong><\/p>\n

\n

\u25c6 <\/span>\u25c6 <\/span>\u25c6<\/span><\/span><\/strong><\/strong><\/h1>\n<\/section>\n

\u641c\u7d22\u516c\u4f17\u53f7\uff1a\u96c6\u667a\u4ff1\u4e50\u90e8<\/span><\/strong><\/span><\/p>\n


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\u52a0\u5165\u201c\u6ca1\u6709\u56f4\u5899\u7684\u7814\u7a76\u6240\u201d<\/span><\/strong><\/span><\/p>\n

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\"\u96c6\u667a\"<\/p>\n<\/section>\n

\u8ba9\u82f9\u679c\u7838\u5f97\u66f4\u731b\u70c8\u4e9b\u5427\uff01<\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

\n

\u59cb\u53d1\u4e8e\u5fae\u4fe1\u516c\u4f17\u53f7\uff1a \u96c6\u667a\u4ff1\u4e50\u90e8 <\/p>\n<\/blockquote>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

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