{"id":11628,"date":"2018-09-28T01:00:00","date_gmt":"2018-09-27T17:00:00","guid":{"rendered":"http:\/\/swarma.org\/%e5%a6%82%e4%bd%95%e8%ae%a9ai%e8%87%aa%e6%88%91%e8%bf%ad%e4%bb%a3%ef%bc%8c%e5%ae%8c%e6%88%90%e6%b7%b1%e5%ba%a6%e5%ad%a6%e4%b9%a0%e4%b8%ad%e6%9c%80%e5%85%b3%e9%94%ae%e7%9a%84%e6%9e%b6%e6%9e%84%e8%ae%be\/"},"modified":"2018-12-05T13:44:59","modified_gmt":"2018-12-05T05:44:59","slug":"%e5%a6%82%e4%bd%95%e8%ae%a9ai%e8%87%aa%e6%88%91%e8%bf%ad%e4%bb%a3%ef%bc%8c%e5%ae%8c%e6%88%90%e6%b7%b1%e5%ba%a6%e5%ad%a6%e4%b9%a0%e4%b8%ad%e6%9c%80%e5%85%b3%e9%94%ae%e7%9a%84%e6%9e%b6%e6%9e%84%e8%ae%be","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=11628","title":{"rendered":"\u5982\u4f55\u8ba9AI\u81ea\u6211\u8fed\u4ee3\uff0c\u5b8c\u6210\u6df1\u5ea6\u5b66\u4e60\u4e2d\u6700\u5173\u952e\u7684\u67b6\u6784\u8bbe\u8ba1\u5de5\u4f5c\uff1f"},"content":{"rendered":"
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\u6765\u6e90\uff1a\u91cf\u5b50\u4f4d<\/span><\/h5>\n<\/blockquote>\n
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\u6280\u672f\u535a\u5ba2TowardDataScience\u6709\u4e00\u7bc7\u6587\u7ae0\uff0c\u5c31\u5168\u9762\u4ecb\u7ecd\u4e86\u5173\u4e8eAutoML\u548cNAS\u4f60\u9700\u8981\u4e86\u89e3\u7684\u4e00\u5207\u3002<\/span><\/p>\n

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NAS\u5c31\u4e3a\u4e86\u641e\u5b9a\u8fd9\u4e2a\u8d39\u65f6\u8d39\u529b\u7684\u4efb\u52a1\u800c\u751f\u3002<\/span><\/p>\n

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\u8bba\u6587\uff1aLearning Transferable Architectures for Scalable Image Recognition\u5730\u5740\uff1ahttps:\/\/arxiv.org\/pdf\/1707.07012.pdf<\/span><\/p>\n<\/blockquote>\n

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\u5728\u56fe\u50cf\u8bc6\u522b\u9886\u57df\uff0c\u8fd9\u5c31\u610f\u5473\u7740\u7528\u4e00\u7ec4\u6a21\u5757\u91cd\u590d\u6392\u5217\uff0c\u9010\u6b65\u4e0b\u91c7\u6837\uff0c\u5982\u4e0b\u56fe\u6240\u793a\uff1a<\/span><\/p>\n

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\u4e0b\u9762\uff0c\u5c31\u662f\u5b83\u53d1\u73b0\u7684ImageNet\u6700\u4f73\u795e\u7ecf\u7f51\u7edc\u67b6\u6784\uff1a<\/span><\/p>\n

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

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\u67b6\u6784\u641c\u7d22\u7684\u8fdb\u5c55<\/strong><\/span><\/p>\n

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\u8fd9\u7bc7NASNet\u8bba\u6587\u5e26\u52a8\u4e86\u884c\u4e1a\u5185\u7684\u4e00\u6b21\u8fdb\u6b65\uff0c\u5b83\u4e3a\u6df1\u5ea6\u5b66\u4e60\u7814\u7a76\u6307\u51fa\u4e86\u4e00\u4e2a\u5168\u65b0\u65b9\u5411\u3002<\/span><\/h1>\n

\u4f46\u662f\uff0c\u7528450\u4e2aGPU\u6765\u8bad\u7ec3\uff0c\u627e\u5230\u4e00\u4e2a\u4f18\u79c0\u7684\u67b6\u6784\u4e5f\u9700\u8981\u8bad\u7ec33\u52304\u5929\u3002\u4e5f\u5c31\u662f\u8bf4\uff0c\u5bf9\u4e8e\u9664\u4e86Google\u4e4b\u5916\u7684\u666e\u901a\u8d2b\u6c11\u7528\u6237\u4eec\uff0c\u8fd9\u79cd\u65b9\u6cd5\u8fd8\u662f\u95e8\u69db\u592a\u9ad8\u3001\u6548\u7387\u592a\u4f4e\u3002<\/span><\/p>\n

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

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2017\u5e74\u8c37\u6b4c\u63d0\u51fa\u7684\u6e10\u8fdb\u5f0f\u795e\u7ecf\u67b6\u6784\u641c\u7d22\uff08PNAS\uff09\uff0c\u5efa\u8bae\u4f7f\u7528\u540d\u53eb\u201c\u57fa\u4e8e\u5e8f\u5217\u6a21\u578b\u7684\u4f18\u5316\uff08SMBO\uff09\u201d\u7684\u7b56\u7565\uff0c\u6765\u53d6\u4ee3NASNet\u91cc\u6240\u7528\u7684\u5f3a\u5316\u5b66\u4e60\u3002\u7528SMBO\u7b56\u7565\u65f6\uff0c\u6211\u4eec\u4e0d\u662f\u968f\u673a\u6293\u8d77\u4e00\u4e2a\u6a21\u5757\u5c31\u8bd5\uff0c\u800c\u662f\u6309\u7167\u590d\u6742\u6027\u9012\u589e\u7684\u987a\u5e8f\u6765\u6d4b\u8bd5\u5b83\u4eec\u5e76\u641c\u7d22\u7ed3\u6784\u3002<\/span><\/p>\n

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\u8bba\u6587\uff1aProgressive Neural Architecture Search\u5730\u5740\uff1ahttps:\/\/arxiv.org\/pdf\/1712.00559.pdf<\/span><\/p>\n<\/blockquote>\n

\u9ad8\u6548\u795e\u7ecf\u67b6\u6784\u641c\u7d22\uff08ENAS\uff09\uff0c\u662f\u8c37\u6b4c\u6253\u51fa\u7684\u8ba9\u4f20\u7edf\u67b6\u6784\u641c\u7d22\u66f4\u9ad8\u6548\u7684\u7b2c\u4e8c\u67aa\uff0c\u8fd9\u79cd\u65b9\u6cd5\u5f88\u4eb2\u6c11\uff0c\u53ea\u8981\u6709GPU\u7684\u666e\u901a\u4ece\u4e1a\u8005\u5c31\u80fd\u4f7f\u7528\u3002\u4f5c\u8005\u5047\u8bbeNAS\u7684\u8ba1\u7b97\u74f6\u9888\u5728\u4e8e\uff0c\u9700\u8981\u628a\u6bcf\u4e2a\u6a21\u578b\u5230\u6536\u655b\uff0c\u4f46\u5374\u53ea\u662f\u4e3a\u4e86\u8861\u91cf\u6d4b\u8bd5\u7cbe\u786e\u5ea6\uff0c\u7136\u540e\u6240\u6709\u8bad\u7ec3\u7684\u6743\u91cd\u90fd\u4f1a\u4e22\u5f03\u6389\u3002<\/span><\/p>\n

\n

\u8bba\u6587\uff1aEfficient Neural Architecture Search via Parameter Sharing\u5730\u5740\uff1ahttps:\/\/arxiv.org\/pdf\/1802.03268.pdf<\/span><\/p>\n<\/blockquote>\n

\u56e0\u6b64\uff0cENAS\u5c31\u8981\u901a\u8fc7\u6539\u8fdb\u6a21\u578b\u8bad\u7ec3\u65b9\u5f0f\u6765\u63d0\u9ad8\u6548\u7387\u3002<\/span><\/p>\n

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ENAS\u7b97\u6cd5\u5f3a\u5236\u5c06\u6240\u6709\u6a21\u578b\u7684\u6743\u91cd\u5171\u4eab\uff0c\u800c\u975e\u4ece\u96f6\u5f00\u59cb\u8bad\u7ec3\u6a21\u578b\u5230\u6536\u655b\uff0c\u6211\u4eec\u5728\u4e4b\u524d\u7684\u6a21\u578b\u4e2d\u5c1d\u8bd5\u8fc7\u7684\u6a21\u5757\u90fd\u5c06\u4f7f\u7528\u8fd9\u4e9b\u5b66\u4e60\u8fc7\u7684\u6743\u91cd\u3002\u56e0\u6b64\uff0c\u6bcf\u6b21\u8bad\u7ec3\u65b0\u6a21\u578b\u662f\u90fd\u8fdb\u884c\u8fc1\u79fb\u5b66\u4e60\uff0c\u6536\u655b\u901f\u5ea6\u4e5f\u66f4\u5feb\u3002<\/span><\/p>\n

\u4e0b\u9762\u8fd9\u5f20\u8868\u683c\u8868\u73b0\u4e86ENAS\u7684\u6548\u7387\uff0c\u800c\u8fd9\u53ea\u662f\u7528\u5355\u4e2a1080Ti\u7684GPU\u8bad\u7ec3\u534a\u5929\u7684\u7ed3\u679c\u3002<\/span><\/p>\n

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

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\u5982\u679c\u4f60\u559c\u6b22\u7528TensorFlow\u6216\u8005Pytorch\uff0c\u4e5f\u6709\u4e00\u4e9b\u5f00\u6e90\u9879\u76ee\u53ef\u7528\uff1a<\/span><\/p>\n

https:\/\/github.com\/melodyguan\/enas<\/span><\/p>\n

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\n<\/p>\n
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\u5f53\u7136\uff0c\u8981\u5b9e\u73b0<\/span>\u8fd9\u6837\u7684\u641c\u7d22\u7a7a\u95f4\uff0c\u9700\u8981\u8bbe\u8ba1\u51fa\u66f4\u9ad8\u6548\u7684\u7b97\u6cd5\u3002<\/span><\/p>\n

\u6700\u540e\uff0c\u9644\u4e0a\u539f\u6587\u4f20\u9001\u95e8\uff1a<\/span>https:\/\/towardsdatascience.com\/the-end-of-open-ai-competitions-ff33c9c69846<\/span><\/p>\n

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\u672c\u6587\u7ecfAI\u65b0\u5a92\u4f53\u91cf\u5b50\u4f4d\uff08\u516c\u4f17\u53f7 ID: QbitAI\uff09\u6388\u6743\u8f6c\u8f7d\uff0c\u8f6c\u8f7d\u8bf7\u8054\u7cfb\u51fa\u5904\u3002<\/span><\/p>\n<\/blockquote>\n

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\u52a0\u5165\u96c6\u667a\uff0c\u4e00\u8d77\u590d\u6742\uff01<\/a><\/span><\/strong><\/p>\n<\/section>\n<\/section>\n

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