{"id":1064193,"date":"2015-02-11T23:42:00","date_gmt":"2015-02-12T07:42:00","guid":{"rendered":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/?post_type=msr-blog-post&#038;p=1064193"},"modified":"2024-09-25T00:09:45","modified_gmt":"2024-09-25T07:09:45","slug":"imagenet-challenge-20150211","status":"publish","type":"msr-blog-post","link":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/articles\/imagenet-challenge-20150211\/","title":{"rendered":"\u5fae\u8f6f\u7814\u7a76\u5458\u5728ImageNet\u8ba1\u7b97\u673a\u89c6\u89c9\u8bc6\u522b\u6311\u6218\u4e2d\u5b9e\u73b0\u91cc\u7a0b\u7891\u5f0f\u7a81\u7834"},"content":{"rendered":"\n<p>\u672c\u6587\u7ffb\u8bd1\u81ea\uff1a<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"http:\/\/blogs.technet.com\/b\/inside_microsoft_research\/archive\/2015\/02\/10\/microsoft-researchers-algorithm-sets-imagenet-challenge-milestone.aspx\">Microsoft Researchers&#8217; Algorithm Sets ImageNet Challenge Milestone<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"550\" height=\"336\" src=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/001p48JAgy6PTcaqJMV1d690.jpg\" alt=\"ImageNet\" class=\"wp-image-1064196\" srcset=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/001p48JAgy6PTcaqJMV1d690.jpg 550w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/001p48JAgy6PTcaqJMV1d690-300x183.jpg 300w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/001p48JAgy6PTcaqJMV1d690-240x147.jpg 240w\" sizes=\"auto, (max-width: 550px) 100vw, 550px\" \/><\/figure>\n\n\n\n<p>\u4e00\u76f4\u4ee5\u6765\uff0c\u8ba1\u7b97\u79d1\u5b66\u5bb6\u4e00\u76f4\u5728\u4e3a\u5efa\u7acb\u4e16\u754c\u4e0a\u6700\u7cbe\u786e\u7684\u8ba1\u7b97\u673a\u89c6\u89c9\u7cfb\u7edf\u5b5c\u5b5c\u4e0d\u5026\u5730\u52aa\u529b\u7740\uff0c\u4f46\u53d6\u5f97\u8fdb\u5c55\u7684\u8fc7\u7a0b\u5374\u4e00\u76f4\u5982\u9a6c\u62c9\u677e\u7ade\u8d5b\u822c\u6f2b\u957f\u800c\u8270\u8f9b\u3002\u8fd1\u671f\uff0c\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u89c6\u89c9\u8ba1\u7b97\u7ec4\u5b9e\u73b0\u7684\u7a81\u7834\u8ba9\u4ed6\u4eec\u6210\u4e3a\u4e86\u8fd9\u573a\u7ade\u8d5b\u7684\u6700\u65b0\u9886\u8dd1\u8005\u3002\u8be5\u56e2\u961f\u6240\u5f00\u53d1\u7684\u57fa\u4e8e\u6df1\u5ea6<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"http:\/\/en.wikipedia.org\/wiki\/Convolutional_neural_network\">\u5377\u79ef\u795e\u7ecf\u7f51\u7edc<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>\uff08CNN\uff09\u7684\u8ba1\u7b97\u673a\u89c6\u89c9\u7cfb\u7edf\uff0c\u5728ImageNet 1000\u6311\u6218\u4e2d\u9996\u6b21\u8d85\u8d8a\u4e86\u4eba\u7c7b\u8fdb\u884c\u5bf9\u8c61\u8bc6\u522b\u5206\u7c7b\u7684\u80fd\u529b\u3002<\/p>\n\n\n\n<p>\u5fae\u8f6f\u7814\u7a76\u56e2\u961f\u5728\u9898\u4e3a\u201c<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"http:\/\/arxiv.org\/abs\/1502.01852\"><em>Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification<\/em><span class=\"sr-only\"> (opens in new tab)<\/span><\/a>\u201d\u7684\u8bba\u6587\u4e2d\u6307\u51fa\uff0c\u4ed6\u4eec\u7684\u7cfb\u7edf\u5728ImageNet 2012\u5206\u7c7b\u6570\u636e\u96c6\u4e2d\u7684\u9519\u8bef\u7387\u5df2\u964d\u4f4e\u81f3<strong>4.94%<\/strong>\u3002\u6b64\u524d\u540c\u6837\u7684\u5b9e\u9a8c\u4e2d\uff0c\u4eba\u773c\u8fa8\u8bc6\u7684\u9519\u8bef\u7387\u5927\u6982\u4e3a<strong>5.1%<\/strong>\u3002\u8fd9\u4e2a\u6570\u636e\u96c6\u5305\u542b\u7ea6120\u4e07\u5f20\u8bad\u7ec3\u56fe\u50cf\u30015\u4e07\u5f20\u9a8c\u8bc1\u56fe\u50cf\u548c10\u4e07\u5f20\u6d4b\u8bd5\u56fe\u50cf\uff0c\u5206\u4e3a1000\u4e2a\u4e0d\u540c\u7684\u7c7b\u522b\u3002\u5fae\u8f6f\u7814\u7a76\u5458\u8868\u793a\uff1a\u201c\u636e\u6211\u4eec\u6240\u77e5\uff0c\u6211\u4eec\u7684\u7814\u7a76\u6210\u679c\u662f\u8fd9\u9879\u89c6\u89c9\u8bc6\u522b\u6311\u6218\u4e2d\u7b2c\u4e00\u4e2a\u8d85\u8d8a\u4eba\u7c7b\u89c6\u89c9\u80fd\u529b\u7684\u8ba1\u7b97\u673a\u7cfb\u7edf\u3002\u201d<\/p>\n\n\n\n<p>\u8be5\u7814\u7a76\u56e2\u961f\u7531\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u7814\u7a76\u5458\u5b59\u5251\u3001\u4f55\u607a\u660e\u4ee5\u53ca\u6765\u81ea\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u548c\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66\u7684\u5b9e\u4e60\u751f\u5f20\u7965\u96e8\u548c\u4efb\u5c11\u537f\u7ec4\u6210\u3002<\/p>\n\n\n\n<p>\u5b59\u5251\u5df2\u5728\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u5de5\u4f5c\u4e86\u5341\u4e8c\u5e74\uff0c\u73b0\u4efb\u89c6\u89c9\u8ba1\u7b97\u7ec4\u9996\u5e2d\u7814\u7a76\u5458\u3002\u6b64\u524d\uff0c\u4ed6\u5728\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u83b7\u5f97\u4e86\u7535\u6c14\u5de5\u7a0b\u4e13\u4e1a\u5b66\u58eb\u3001\u7855\u58eb\u53ca\u535a\u58eb\u5b66\u4f4d\u30022001\u5e74\uff0c\u5b59\u5251\u66fe\u662f\u6c88\u5411\u6d0b\u535a\u58eb\u7684\u5b66\u751f\u3002\u6c88\u5411\u6d0b\u76ee\u524d\u62c5\u4efb\u5fae\u8f6f\u5168\u7403\u6267\u884c\u526f\u603b\u88c1\uff0c\u4e3b\u7ba1\u6280\u672f\u4e0e\u7814\u7a76\uff0c\u5e76\u4e14\u662f\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u521b\u59cb\u6210\u5458\u4e4b\u4e00\u3002\u8fd9\u4f4d\u56e0\u5728\u8ba1\u7b97\u673a\u89c6\u89c9\u53ca\u56fe\u50cf\u5b66\u9886\u57df\u5efa\u6811\u5353\u8457\u800c\u5f53\u9009IEEE Fellow\uff08\u7535\u6c14\u7535\u5b50\u5de5\u7a0b\u5e08\u5b66\u4f1a\u9662\u58eb\uff09\u53caACM Fellow\uff08\u7f8e\u56fd\u8ba1\u7b97\u673a\u534f\u4f1a\u9662\u58eb\uff09\u7684\u8ba1\u7b97\u673a\u79d1\u5b66\u5bb6\uff0c\u5bf9\u4ed6\u6614\u65e5\u5f1f\u5b50\u6240\u53d6\u5f97\u7684\u6210\u5c31\u611f\u5230\u975e\u5e38\u81ea\u8c6a\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/www.msra.cn\/wp-content\/uploads\/2017\/06\/001p48JAgy6PTcsJ7wz17&690\" alt=\"\u5b59\u5251\" title=\"\u5fae\u8f6f\u7814\u7a76\u5458\u5728ImageNet\u8ba1\u7b97\u673a\u89c6\u89c9\u8bc6\u522b\u6311\u6218\u4e2d\u5b9e\u73b0\u91cc\u7a0b\u7891\u5f0f\u7a81\u7834\"\/><\/figure>\n\n\n\n<p>\u201c\u5b59\u5251\u548c\u6211\u57282001\u5e74\u548c\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u90d1\u5357\u5b81\u6559\u6388\u4e00\u8d77\u505a\u7684\u7b2c\u4e00\u4e2a\u9879\u76ee\u662f\u5229\u7528\u7f6e\u4fe1\u4f20\u64ad(belief propagation)\u8fdb\u884c\u7acb\u4f53\u91cd\u5efa\u3002\u5b59\u5251\u7b2c\u4e00\u4e2a\u5c06\u8d1d\u53f6\u65af\u7f6e\u4fe1\u4f20\u64ad\u7528\u6765\u89e3\u51b3\u7acb\u4f53\u89c6\u89c9\u95ee\u9898\u5e76\u53d6\u5f97\u4e86\u5f53\u65f6\u6700\u597d\u7684\u6548\u679c\u3002\u201d\u6c88\u5411\u6d0b\u5bf9\u5b59\u5251\u5728\u5fae\u8f6f\u6240\u53d6\u5f97\u7684\u6210\u5c31\u500d\u611f\u9a84\u50b2\u3002\u201c\u5b59\u5251\u7684\u5f88\u591a\u7814\u7a76\u6210\u679c\u90fd\u6210\u529f\u5e94\u7528\u5230\u4e86\u5fae\u8f6f\u7684\u6838\u5fc3\u4ea7\u54c1\u4e2d\u3002\u800c\u4ed6\u5728\u66f4\u6df1\u5c42\u795e\u7ecf\u7f51\u7edc\u65b9\u9762\u6700\u65b0\u7814\u7a76\u6210\u679c\u7684\u6f5c\u529b\u8ba9\u6211\u5c24\u4e3a\u5174\u594b\u548c\u671f\u5f85\u3002\u201d<\/p>\n\n\n\n<p>\u5b59\u5251\u5c06\u56e2\u961f\u53d6\u5f97\u7684\u6700\u65b0\u6210\u679c\u5f52\u529f\u4e8e\u4ee5\u4e0b\u4e24\u9879\u5173\u952e\u7a81\u7834\uff1a\u4e00\u662f\u5f00\u53d1\u4e86\u9002\u5e94\u6027\u66f4\u5f3a\u7684\u975e\u7ebf\u6027\u795e\u7ecf\u5143\uff0c\u4e8c\u662f\u6539\u8fdb\u8bad\u7ec3\u7b97\u6cd5\uff0c\u4f7f\u5f97\u795e\u7ecf\u7f51\u7edc\u66f4\u4e3a\u5f3a\u5927\u3002<\/p>\n\n\n\n<p>\u5fae\u8f6f\u7814\u7a76\u5458\u5728\u8bba\u6587\u4e2d\u6307\u51fa\uff0c<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"http:\/\/en.wikipedia.org\/wiki\/Rectifier_(neural_networks)\">\u4fee\u6b63\u795e\u7ecf\u5143(rectifier neuron)<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>\u662f\u8fd1\u671f\u5c06\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u5e94\u7528\u4e8e\u8ba1\u7b97\u673a\u89c6\u89c9\u6311\u6218\u65f6\u53d6\u5f97\u6210\u529f\u7684\u5173\u952e\u8981\u7d20\u4e4b\u4e00\u3002<\/p>\n\n\n\n<p>\u7814\u7a76\u4eba\u5458\u8868\u793a\uff1a\u201c\u5728\u672c\u8bba\u6587\u4e2d\uff0c\u6211\u4eec\u4ece\u4e24\u4e2a\u65b9\u9762\u5bf9\u4e3b\u8981\u7531\u4fee\u6b63\u795e\u7ecf\u5143\u9a71\u52a8\u7684\u795e\u7ecf\u7f51\u7edc\u8fdb\u884c\u4e86\u7814\u7a76\u3002\u9996\u5148\uff0c\u6211\u4eec\u751f\u6210\u4e86\u4e00\u79cd\u65b0\u7684\u4fee\u6b63\u7ebf\u6027\u5355\u5143\uff08ReLU\uff09\uff0c\u5e76\u5c06\u5176\u79f0\u4e3a\u53c2\u6570\u5316\u4fee\u6b63\u7ebf\u6027\u5355\u5143\uff08PReLU\uff09\u3002\u8be5\u6fc0\u6d3b\u51fd\u6570\u4e0d\u4ec5\u53ef\u81ea\u9002\u5e94\u83b7\u53d6\u4fee\u6b63\u53c2\u6570\uff0c\u8fd8\u53ef\u63d0\u9ad8\u8ba1\u7b97\u7cbe\u5ea6\uff0c\u4e14\u6240\u9700\u989d\u5916\u8ba1\u7b97\u6210\u672c\u51e0\u4e4e\u53ef\u4ee5\u5ffd\u7565\u4e0d\u8ba1\u3002\u5176\u6b21\uff0c\u6211\u4eec\u7814\u7a76\u4e86\u6df1\u5ea6\u4fee\u6b63\u6a21\u578b\u7684\u8bad\u7ec3\u96be\u5ea6\u3002\u6211\u4eec\u901a\u8fc7\u5bf9\u4fee\u6b63\u7ebf\u6027\u5355\u5143\uff08\u5373ReLU\/PReLU\uff09\u7684\u975e\u7ebf\u6027\u7279\u5f81\u8fdb\u884c\u76f4\u63a5\u5efa\u6a21\uff0c\u63a8\u5bfc\u51fa\u4e00\u79cd\u7b26\u5408\u7406\u8bba\u7684\u521d\u59cb\u5316\u65b9\u6cd5\uff0c\u5e76\u76f4\u63a5\u4ece\u5934\u5f00\u59cb\u8bad\u7ec3\u7f51\u7edc\uff0c\u5c06\u5176\u5e94\u7528\u4e8e\u6df1\u5ea6\u6a21\u578b\uff08\u4f8b\u5982\uff0c\u5177\u670930\u4e2a\u5e26\u6743\u5c42\u7684\u6a21\u578b\uff09\u7684\u6536\u655b\u8fc7\u7a0b\u3002\u8fd9\u4e3a\u6211\u4eec\u63a2\u7d22\u529f\u80fd\u66f4\u5f3a\u5927\u7684\u7f51\u7edc\u4f53\u7cfb\u7ed3\u6784\u63d0\u4f9b\u4e86\u66f4\u591a\u7684\u7075\u6d3b\u6027\u3002\u201d<\/p>\n\n\n\n<p>\u8be5\u7814\u7a76\u56e2\u961f\u867d\u7136\u5bf9\u5176\u7b97\u6cd5\u8d85\u8d8a\u4eba\u7c7b\u89c6\u89c9\u8bc6\u522b\u6781\u9650\u611f\u5230\u5174\u594b\u4e0d\u5df2\uff0c\u4f46\u4e0e\u8be5\u9886\u57df\u7684\u5176\u4ed6\u7814\u7a76\u4eba\u5458\u4e00\u6837\uff0c\u7814\u7a76\u56e2\u961f\u6210\u5458\u4e5f\u5f3a\u8c03\uff0c\u8ba1\u7b97\u673a\u89c6\u89c9\u76ee\u524d\u4ece\u6839\u672c\u4e0a\u4ecd\u65e0\u6cd5\u4e0e\u4eba\u7c7b\u89c6\u89c9\u76f8\u6bd4\u3002\u8ba1\u7b97\u673a\u7cfb\u7edf\u5728\u8bc6\u522b\u7269\u4f53\u3001\u7406\u89e3\u56fe\u50cf\u4e0a\u4e0b\u6587\u53ca\u573a\u666f\u9ad8\u7ea7\u4fe1\u606f\u7b49\u9886\u57df\u4ecd\u9762\u4e34\u8bf8\u591a\u6311\u6218\u3002<\/p>\n\n\n\n<p>\u201c\u867d\u7136\u6211\u4eec\u7684\u7b97\u6cd5\u57fa\u4e8e\u8be5\u7279\u5b9a\u7684\u6570\u636e\u96c6\u5f97\u51fa\u4e86\u6781\u4e3a\u7406\u60f3\u7684\u7ed3\u679c\uff0c\u4f46\u8fd9\u5e76\u4e0d\u8868\u660e\u5728\u5bf9\u8c61\u8bc6\u522b\u9886\u57df\u673a\u5668\u89c6\u89c9\u666e\u904d\u4f18\u4e8e\u4eba\u7c7b\u89c6\u89c9\u3002\u67d0\u4e9b\u5bf9\u4e8e\u4eba\u7c7b\u6765\u8bf4\u8f7b\u800c\u6613\u4e3e\u7684\u57fa\u672c\u5bf9\u8c61\u7c7b\u522b\u7684\u8bc6\u522b\uff0c\u673a\u5668\u8bc6\u522b\u4ecd\u7136\u5b58\u5728\u660e\u663e\u9519\u8bef\u3002\u5c3d\u7ba1\u5982\u6b64\uff0c\u6211\u4eec\u7684\u7814\u7a76\u7ed3\u679c\u8868\u660e\u673a\u5668\u7b97\u6cd5\u5728\u4f17\u591a\u89c6\u89c9\u8bc6\u522b\u4efb\u52a1\u4e0a\u5177\u6709\u5de8\u5927\u7684\u53d1\u5c55\u6f5c\u529b\u3002\u201d<\/p>\n\n\n\n<p>\u201c\u4eba\u7c7b\u53ef\u4ee5\u6beb\u4e0d\u8d39\u529b\u5730\u533a\u5206\u51fa\u4e00\u53ea\u7f8a\u548c\u4e00\u5934\u725b\u3002\u4f46\u8ba1\u7b97\u673a\u5728\u6267\u884c\u8fd9\u4e9b\u7b80\u5355\u4efb\u52a1\u65f6\u5374\u4e0d\u5c3d\u5b8c\u7f8e\uff0c\u201d\u5b59\u5251\u89e3\u91ca\u9053\u3002\u201c\u4f46\u662f\uff0c\u5f53\u6d89\u53ca\u5230\u4e0d\u540c\u54c1\u79cd\u7684\u7f8a\u7684\u533a\u5206\u65f6\uff0c\u8ba1\u7b97\u673a\u53ef\u8d85\u8d8a\u4eba\u7c7b\u3002\u901a\u8fc7\u8bad\u7ec3\uff0c\u8ba1\u7b97\u673a\u53ef\u89c2\u5bdf\u56fe\u50cf\u7684\u7ec6\u8282\u3001\u7eb9\u7406\u3001\u5f62\u72b6\u53ca\u73af\u5883\uff0c\u5e76\u53d1\u73b0\u4eba\u7c7b\u65e0\u6cd5\u5bdf\u89c9\u51fa\u7684\u533a\u522b\u3002\u201d<\/p>\n\n\n\n<p>\u5fae\u8f6f\u7814\u7a76\u56e2\u961f\u7684\u5de5\u4f5c\u5e76\u4e0d\u4ec5\u4ec5\u5c40\u9650\u4e8e\u57fa\u7840\u7814\u7a76\uff0c\u5176\u591a\u9879\u6210\u679c\u5df2\u88ab\u5e94\u7528\u5230\u5fae\u8f6f\u7684\u4ea7\u54c1\u548c\u670d\u52a1\u4e2d\uff0c\u5305\u62ec\u5fc5\u5e94\u56fe\u7247\u641c\u7d22\u53ca\u5fae\u8f6f\u4e91\u5b58\u50a8\u89e3\u51b3\u65b9\u6848OneDrive\u3002\u5728\u8fd1\u671f\u7684\u4e00\u7bc7<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"https:\/\/blog.onedrive.com\/introducing-an-all-new-way-to-view-manage-and-share-your-photos-in-onedrive\/\">\u535a\u6587<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>\u4e2d\uff0c\u5fae\u8f6fOneDrive\u9879\u76ee\u7ecf\u7406Douglas Pearce\u4ecb\u7ecd\u4e86 OneDrive\u81ea\u52a8\u8bc6\u522b\u7167\u7247\u5185\u5bb9\u7684\u529f\u80fd\u3002<\/p>\n\n\n\n<p>\u201cOneDrive\u4f1a\u81ea\u52a8\u4e3a\u7528\u6237\u4e0a\u4f20\u7684\u7167\u7247\u521b\u5efa\u6807\u7b7e\uff0c\u6bd4\u5982\u4eba\u3001\u72d7\u3001\u6c99\u6ee9\u3001\u843d\u65e5\u7b49\u7b49\uff0c\u4f7f\u7528\u6237\u501f\u52a9\u6807\u7b7e\u80fd\u591f\u66f4\u8f7b\u677e\u5730\u5bfb\u627e\u5230\u81ea\u5df1\u7684\u56fe\u7247\u3002\u6709\u4e86\u8fd9\u9879\u529f\u80fd\uff0c\u6211\u4eec\u5411\u6f14\u793a\u9879\u76ee\u4e2d\u6dfb\u52a0\u7167\u7247\u3001\u4e0e\u5bb6\u4eba\u91cd\u6e29\u7279\u6b8a\u56de\u5fc6\uff0c\u6216\u4e0eFacebook\u597d\u53cb\u5206\u4eab\u91cd\u8981\u65f6\u523b\u5c31\u53d8\u5f97\u8f7b\u800c\u6613\u4e3e\u3002\u201dPearce\u5982\u662f\u8bf4\u3002<\/p>\n\n\n\n<p>\u60f3\u8981\u4e86\u89e3\u6b64\u9879\u6280\u672f\u80cc\u540e\u539f\u7406\u7684\u8bfb\u8005\u53ef\u9605\u8bfb\u5fae\u8f6f\u7814\u7a76\u9662\u53bb\u5e74\u53d1\u5e03\u7684<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"http:\/\/research.microsoft.com\/en-us\/news\/features\/spp-102914.aspx\">\u4e13\u9898\u6587\u7ae0<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>\u3002\u8be5\u6587\u7ae0\u4ecb\u7ecd\u4e86\u6765\u81ea\u540c\u4e00\u7814\u7a76\u56e2\u961f\u7684\u7814\u7a76\u6210\u679c\uff0c\u4ed6\u4eec\u5728\u4fdd\u6301\u51c6\u786e\u6027\u4e0d\u53d8\u7684\u6761\u4ef6\u4e0b\u5c06\u6df1\u5ea6\u5b66\u4e60\u76ee\u6807\u68c0\u6d4b\u7cfb\u7edf\u52a0\u901f\u4e86\u591a\u8fbe100\u500d\u3002\u8be5\u56e2\u961f\u7684\u79d1\u7814\u8fdb\u5c55\u8bb0\u5f55\u4e8e\u9898\u4e3a\u201c<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"http:\/\/arxiv.org\/pdf\/1406.4729v1.pdf\">Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>\u201d\u7814\u7a76\u8bba\u6587\u4e2d\u3002<\/p>\n\n\n\n<p>\u201c\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u89c6\u89c9\u8ba1\u7b97\u7814\u7a76\u7ec4\u4e00\u76f4\u81f4\u529b\u4e8e\u63a8\u52a8\u8ba1\u7b97\u673a\u89c6\u89c9\u7814\u7a76\u7684\u524d\u6cbf\u53d1\u5c55\uff0c\u7ec8\u6781\u76ee\u6807\u662f\u4f7f\u8ba1\u7b97\u673a\u80fd\u591f\u6a21\u62df\u51fa\u4eba\u7c7b\u7684\u611f\u77e5\u80fd\u529b\u3002\u6211\u5bf9\u7814\u7a76\u7ec4\u591a\u5e74\u6765\u6240\u53d6\u5f97\u7684\u6210\u5c31\u6df1\u611f\u81ea\u8c6a\uff0c\u4ed6\u4eec\u4e0d\u4ec5\u4ee5\u9ad8\u8d28\u91cf\u7684\u8bba\u6587\u53d6\u5f97\u4e86\u5b66\u672f\u754c\u7684\u8ba4\u53ef\uff0c\u800c\u4e14\u901a\u8fc7\u5c06\u8fd9\u4e9b\u6280\u672f\u8f6c\u5316\u5230\u4e86\u5fae\u8f6f\u7684\u591a\u4e2a\u6838\u5fc3\u4ea7\u54c1\u4e2d\u3002\u201d\u5fae\u8f6f\u4e9a\u592a\u7814\u53d1\u96c6\u56e2\u4e3b\u5e2d\u517c\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u9662\u957f\u6d2a\u5c0f\u6587\u535a\u58eb\u8bf4\u9053\u3002<\/p>\n\n\n\n<p>2010\u5e74\uff0c\u6765\u81ea\u65af\u5766\u798f\u5927\u5b66\u3001\u666e\u6797\u65af\u987f\u5927\u5b66\u53ca\u54e5\u4f26\u6bd4\u4e9a\u5927\u5b66\u7684\u79d1\u5b66\u5bb6\u4eec\u542f\u52a8\u5927\u89c4\u6a21\u89c6\u89c9\u8bc6\u522b\u6311\u6218\u8d5b\uff08<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"http:\/\/image-net.org\/challenges\/LSVRC\/2014\/\">Large Scale Visual&nbsp;Recognition Challenge<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>\uff09\uff0c\u63a8\u52a8\u4e86\u8ba1\u7b97\u673a\u89c6\u89c9\u8bc6\u522b\u6311\u6218\u7684\u6301\u7eed\u53d1\u5c55\u3002\u79d1\u6280\u884c\u4e1a\u77e5\u540d\u8bb0\u8005John Markoff\u4e8e2014\u5e748\u6708\u5728\u300a\u7ebd\u7ea6\u65f6\u62a5\u300b\u4e0a\u520a\u767b\u6587\u7ae0\u6307\u51fa\uff0c2014\u5e74\u8ba1\u7b97\u673a\u8bc6\u522b\u6311\u6218\u7684\u76ee\u6807\u8bc6\u522b\u51c6\u786e\u7387\u51e0\u4e4e\u63d0\u5347\u4e86\u4e00\u500d\uff0c\u56fe\u50cf\u5206\u7c7b\u9519\u8bef\u7387\u4e5f\u51cf\u5c11\u4e86\u4e00\u534a\u3002\u6700\u8fd1\uff0c\u767e\u5ea6\u7684\u7814\u7a76\u4eba\u5458\u5728\u5176<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"http:\/\/arxiv.org\/abs\/1501.02876v2\">\u8bba\u6587<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>\u4e2d\u5ba3\u79f0\uff0c\u4ee5ImageNet\u5bf9\u8c61\u5206\u7c7b\u4e3a\u57fa\u51c6\uff0c\u767e\u5ea6\u7684\u8ba1\u7b97\u673a\u89c6\u89c9\u7cfb\u7edf\u5b9e\u73b0\u4e86\u524d\u4e94\u90095.33%\u7684\u9519\u8bef\u7387\u3002<\/p>\n\n\n\n<p>\u5173\u4e8e\u8ba1\u7b97\u673a\u89c6\u89c9\u7684\u6311\u6218\u4ecd\u5728\u7ee7\u7eed\uff0c\u4eca\u5e74\u7684<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"http:\/\/image-net.org\/challenges\/LSVRC\/2015\/\">\u6311\u6218\u8d5b<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>\u5c06\u4e8e12\u6708\u542f\u52a8\u3002\u4f46\u8fd9\u5e76\u4e0d\u662f\u5b59\u5251\u3001\u4f55\u607a\u660e\u53ca\u5176\u7814\u7a76\u56e2\u961f\u7684\u5173\u6ce8\u91cd\u70b9\u3002\u201c\u6211\u4eec\u7684\u76ee\u6807\u662f\u5728\u4f17\u591a\u5e94\u7528\u4e0a\u5f00\u53d1\u51fa\u80fd\u4e0e\u4eba\u7c7b\u89c6\u89c9\u5ab2\u7f8e\uff0c\u751a\u81f3\u6bd4\u4eba\u7c7b\u66f4\u51c6\u786e\u7684\u8ba1\u7b97\u673a\u89c6\u89c9\u7cfb\u7edf\uff0c\u201d\u5b59\u5251\u8bf4\u9053\u3002\u201c\u5982\u8981\u5b9e\u73b0\u8fd9\u4e00\u76ee\u6807\uff0c\u6211\u4eec\u9700\u8981\u66f4\u591a\u7684\u8bad\u7ec3\u6570\u636e\u548c\u66f4\u52a0\u771f\u5b9e\u7684\u6d4b\u8bd5\u573a\u666f\u3002\u6211\u4eec\u5728\u5fc5\u5e94\u3001OneDrive\u548c\u5176\u4ed6\u670d\u52a1\u5e73\u53f0\u4e0a\u7684\u5de5\u4f5c\u5c06\u5e2e\u52a9\u6211\u4eec\u8fdb\u4e00\u6b65\u6539\u5584\u7b97\u6cd5\u7684\u9c81\u68d2\u6027\u3002\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u672c\u6587\u7ffb\u8bd1\u81ea\uff1aMicrosoft Researchers&#8217; Algorithm Sets ImageNet Challenge Milestone (opens in new tab) \u4e00\u76f4\u4ee5\u6765\uff0c\u8ba1\u7b97\u79d1\u5b66\u5bb6\u4e00\u76f4\u5728\u4e3a\u5efa\u7acb\u4e16\u754c\u4e0a\u6700\u7cbe\u786e\u7684\u8ba1\u7b97\u673a\u89c6\u89c9\u7cfb\u7edf\u5b5c\u5b5c\u4e0d\u5026\u5730\u52aa\u529b\u7740\uff0c\u4f46\u53d6\u5f97\u8fdb\u5c55\u7684\u8fc7\u7a0b\u5374\u4e00\u76f4\u5982\u9a6c\u62c9\u677e\u7ade\u8d5b\u822c\u6f2b\u957f\u800c\u8270\u8f9b\u3002\u8fd1\u671f\uff0c\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u89c6\u89c9\u8ba1\u7b97\u7ec4\u5b9e\u73b0\u7684\u7a81\u7834\u8ba9\u4ed6\u4eec\u6210\u4e3a\u4e86\u8fd9\u573a\u7ade\u8d5b\u7684\u6700\u65b0\u9886\u8dd1\u8005\u3002\u8be5\u56e2\u961f\u6240\u5f00\u53d1\u7684\u57fa\u4e8e\u6df1\u5ea6\u5377\u79ef\u795e\u7ecf\u7f51\u7edc (opens in new tab)\uff08CNN\uff09\u7684\u8ba1\u7b97\u673a\u89c6\u89c9\u7cfb\u7edf\uff0c\u5728ImageNet 1000\u6311\u6218\u4e2d\u9996\u6b21\u8d85\u8d8a\u4e86\u4eba\u7c7b\u8fdb\u884c\u5bf9\u8c61\u8bc6\u522b\u5206\u7c7b\u7684\u80fd\u529b\u3002 \u5fae\u8f6f\u7814\u7a76\u56e2\u961f\u5728\u9898\u4e3a\u201cDelving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification (opens in new tab)\u201d\u7684\u8bba\u6587\u4e2d\u6307\u51fa\uff0c\u4ed6\u4eec\u7684\u7cfb\u7edf\u5728ImageNet 2012\u5206\u7c7b\u6570\u636e\u96c6\u4e2d\u7684\u9519\u8bef\u7387\u5df2\u964d\u4f4e\u81f34.94%\u3002\u6b64\u524d\u540c\u6837\u7684\u5b9e\u9a8c\u4e2d\uff0c\u4eba\u773c\u8fa8\u8bc6\u7684\u9519\u8bef\u7387\u5927\u6982\u4e3a5.1%\u3002\u8fd9\u4e2a\u6570\u636e\u96c6\u5305\u542b\u7ea6120\u4e07\u5f20\u8bad\u7ec3\u56fe\u50cf\u30015\u4e07\u5f20\u9a8c\u8bc1\u56fe\u50cf\u548c10\u4e07\u5f20\u6d4b\u8bd5\u56fe\u50cf\uff0c\u5206\u4e3a1000\u4e2a\u4e0d\u540c\u7684\u7c7b\u522b\u3002\u5fae\u8f6f\u7814\u7a76\u5458\u8868\u793a\uff1a\u201c\u636e\u6211\u4eec\u6240\u77e5\uff0c\u6211\u4eec\u7684\u7814\u7a76\u6210\u679c\u662f\u8fd9\u9879\u89c6\u89c9\u8bc6\u522b\u6311\u6218\u4e2d\u7b2c\u4e00\u4e2a\u8d85\u8d8a\u4eba\u7c7b\u89c6\u89c9\u80fd\u529b\u7684\u8ba1\u7b97\u673a\u7cfb\u7edf\u3002\u201d \u8be5\u7814\u7a76\u56e2\u961f\u7531\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u7814\u7a76\u5458\u5b59\u5251\u3001\u4f55\u607a\u660e\u4ee5\u53ca\u6765\u81ea\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u548c\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66\u7684\u5b9e\u4e60\u751f\u5f20\u7965\u96e8\u548c\u4efb\u5c11\u537f\u7ec4\u6210\u3002 \u5b59\u5251\u5df2\u5728\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u5de5\u4f5c\u4e86\u5341\u4e8c\u5e74\uff0c\u73b0\u4efb\u89c6\u89c9\u8ba1\u7b97\u7ec4\u9996\u5e2d\u7814\u7a76\u5458\u3002\u6b64\u524d\uff0c\u4ed6\u5728\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u83b7\u5f97\u4e86\u7535\u6c14\u5de5\u7a0b\u4e13\u4e1a\u5b66\u58eb\u3001\u7855\u58eb\u53ca\u535a\u58eb\u5b66\u4f4d\u30022001\u5e74\uff0c\u5b59\u5251\u66fe\u662f\u6c88\u5411\u6d0b\u535a\u58eb\u7684\u5b66\u751f\u3002\u6c88\u5411\u6d0b\u76ee\u524d\u62c5\u4efb\u5fae\u8f6f\u5168\u7403\u6267\u884c\u526f\u603b\u88c1\uff0c\u4e3b\u7ba1\u6280\u672f\u4e0e\u7814\u7a76\uff0c\u5e76\u4e14\u662f\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u521b\u59cb\u6210\u5458\u4e4b\u4e00\u3002\u8fd9\u4f4d\u56e0\u5728\u8ba1\u7b97\u673a\u89c6\u89c9\u53ca\u56fe\u50cf\u5b66\u9886\u57df\u5efa\u6811\u5353\u8457\u800c\u5f53\u9009IEEE Fellow\uff08\u7535\u6c14\u7535\u5b50\u5de5\u7a0b\u5e08\u5b66\u4f1a\u9662\u58eb\uff09\u53caACM Fellow\uff08\u7f8e\u56fd\u8ba1\u7b97\u673a\u534f\u4f1a\u9662\u58eb\uff09\u7684\u8ba1\u7b97\u673a\u79d1\u5b66\u5bb6\uff0c\u5bf9\u4ed6\u6614\u65e5\u5f1f\u5b50\u6240\u53d6\u5f97\u7684\u6210\u5c31\u611f\u5230\u975e\u5e38\u81ea\u8c6a\u3002 \u201c\u5b59\u5251\u548c\u6211\u57282001\u5e74\u548c\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u90d1\u5357\u5b81\u6559\u6388\u4e00\u8d77\u505a\u7684\u7b2c\u4e00\u4e2a\u9879\u76ee\u662f\u5229\u7528\u7f6e\u4fe1\u4f20\u64ad(belief propagation)\u8fdb\u884c\u7acb\u4f53\u91cd\u5efa\u3002\u5b59\u5251\u7b2c\u4e00\u4e2a\u5c06\u8d1d\u53f6\u65af\u7f6e\u4fe1\u4f20\u64ad\u7528\u6765\u89e3\u51b3\u7acb\u4f53\u89c6\u89c9\u95ee\u9898\u5e76\u53d6\u5f97\u4e86\u5f53\u65f6\u6700\u597d\u7684\u6548\u679c\u3002\u201d\u6c88\u5411\u6d0b\u5bf9\u5b59\u5251\u5728\u5fae\u8f6f\u6240\u53d6\u5f97\u7684\u6210\u5c31\u500d\u611f\u9a84\u50b2\u3002\u201c\u5b59\u5251\u7684\u5f88\u591a\u7814\u7a76\u6210\u679c\u90fd\u6210\u529f\u5e94\u7528\u5230\u4e86\u5fae\u8f6f\u7684\u6838\u5fc3\u4ea7\u54c1\u4e2d\u3002\u800c\u4ed6\u5728\u66f4\u6df1\u5c42\u795e\u7ecf\u7f51\u7edc\u65b9\u9762\u6700\u65b0\u7814\u7a76\u6210\u679c\u7684\u6f5c\u529b\u8ba9\u6211\u5c24\u4e3a\u5174\u594b\u548c\u671f\u5f85\u3002\u201d \u5b59\u5251\u5c06\u56e2\u961f\u53d6\u5f97\u7684\u6700\u65b0\u6210\u679c\u5f52\u529f\u4e8e\u4ee5\u4e0b\u4e24\u9879\u5173\u952e\u7a81\u7834\uff1a\u4e00\u662f\u5f00\u53d1\u4e86\u9002\u5e94\u6027\u66f4\u5f3a\u7684\u975e\u7ebf\u6027\u795e\u7ecf\u5143\uff0c\u4e8c\u662f\u6539\u8fdb\u8bad\u7ec3\u7b97\u6cd5\uff0c\u4f7f\u5f97\u795e\u7ecf\u7f51\u7edc\u66f4\u4e3a\u5f3a\u5927\u3002 \u5fae\u8f6f\u7814\u7a76\u5458\u5728\u8bba\u6587\u4e2d\u6307\u51fa\uff0c\u4fee\u6b63\u795e\u7ecf\u5143(rectifier neuron) (opens in new tab)\u662f\u8fd1\u671f\u5c06\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u5e94\u7528\u4e8e\u8ba1\u7b97\u673a\u89c6\u89c9\u6311\u6218\u65f6\u53d6\u5f97\u6210\u529f\u7684\u5173\u952e\u8981\u7d20\u4e4b\u4e00\u3002 \u7814\u7a76\u4eba\u5458\u8868\u793a\uff1a\u201c\u5728\u672c\u8bba\u6587\u4e2d\uff0c\u6211\u4eec\u4ece\u4e24\u4e2a\u65b9\u9762\u5bf9\u4e3b\u8981\u7531\u4fee\u6b63\u795e\u7ecf\u5143\u9a71\u52a8\u7684\u795e\u7ecf\u7f51\u7edc\u8fdb\u884c\u4e86\u7814\u7a76\u3002\u9996\u5148\uff0c\u6211\u4eec\u751f\u6210\u4e86\u4e00\u79cd\u65b0\u7684\u4fee\u6b63\u7ebf\u6027\u5355\u5143\uff08ReLU\uff09\uff0c\u5e76\u5c06\u5176\u79f0\u4e3a\u53c2\u6570\u5316\u4fee\u6b63\u7ebf\u6027\u5355\u5143\uff08PReLU\uff09\u3002\u8be5\u6fc0\u6d3b\u51fd\u6570\u4e0d\u4ec5\u53ef\u81ea\u9002\u5e94\u83b7\u53d6\u4fee\u6b63\u53c2\u6570\uff0c\u8fd8\u53ef\u63d0\u9ad8\u8ba1\u7b97\u7cbe\u5ea6\uff0c\u4e14\u6240\u9700\u989d\u5916\u8ba1\u7b97\u6210\u672c\u51e0\u4e4e\u53ef\u4ee5\u5ffd\u7565\u4e0d\u8ba1\u3002\u5176\u6b21\uff0c\u6211\u4eec\u7814\u7a76\u4e86\u6df1\u5ea6\u4fee\u6b63\u6a21\u578b\u7684\u8bad\u7ec3\u96be\u5ea6\u3002\u6211\u4eec\u901a\u8fc7\u5bf9\u4fee\u6b63\u7ebf\u6027\u5355\u5143\uff08\u5373ReLU\/PReLU\uff09\u7684\u975e\u7ebf\u6027\u7279\u5f81\u8fdb\u884c\u76f4\u63a5\u5efa\u6a21\uff0c\u63a8\u5bfc\u51fa\u4e00\u79cd\u7b26\u5408\u7406\u8bba\u7684\u521d\u59cb\u5316\u65b9\u6cd5\uff0c\u5e76\u76f4\u63a5\u4ece\u5934\u5f00\u59cb\u8bad\u7ec3\u7f51\u7edc\uff0c\u5c06\u5176\u5e94\u7528\u4e8e\u6df1\u5ea6\u6a21\u578b\uff08\u4f8b\u5982\uff0c\u5177\u670930\u4e2a\u5e26\u6743\u5c42\u7684\u6a21\u578b\uff09\u7684\u6536\u655b\u8fc7\u7a0b\u3002\u8fd9\u4e3a\u6211\u4eec\u63a2\u7d22\u529f\u80fd\u66f4\u5f3a\u5927\u7684\u7f51\u7edc\u4f53\u7cfb\u7ed3\u6784\u63d0\u4f9b\u4e86\u66f4\u591a\u7684\u7075\u6d3b\u6027\u3002\u201d 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