{"id":67095,"date":"2026-01-28T08:16:56","date_gmt":"2026-01-28T00:16:56","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/67095.html"},"modified":"2026-01-28T08:16:56","modified_gmt":"2026-01-28T00:16:56","slug":"%e6%b7%b1%e5%ba%a6%e6%ae%8b%e5%b7%ae%e7%bd%91%e7%bb%9c%ef%bc%88resnet%ef%bc%89%e6%a8%a1%e5%9e%8b","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/67095.html","title":{"rendered":"\u6df1\u5ea6\u6b8b\u5dee\u7f51\u7edc\uff08ResNet\uff09\u6a21\u578b"},"content":{"rendered":"

\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

\u6df1\u5ea6\u6b8b\u5dee\u7f51\u7edc（Residual Network，\u7b80\u79f0ResNet）\u662f2015\u5e74\u7531\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u4f55\u607a\u660e\u56e2\u961f\u63d0\u51fa\u7684\u4e00\u79cd\u7a81\u7834\u6027\u5377\u79ef\u795e\u7ecf\u7f51\u7edc（CNN）\u67b6\u6784，\u5176\u6838\u5fc3\u521b\u65b0\u7684\u6b8b\u5dee\u8fde\u63a5\u673a\u5236，\u5f7b\u5e95\u6253\u7834\u4e86\u201c\u7f51\u7edc\u5c42\u6570\u8d8a\u6df1\u6027\u80fd\u8d8a\u5dee\u201d\u7684\u6280\u672f\u74f6\u9888，\u6210\u529f\u8bad\u7ec3\u51fa152\u5c42\u7684\u8d85\u6df1\u7f51\u7edc，\u5728ImageNet\u56fe\u50cf\u5206\u7c7b\u7ade\u8d5b\u4e2d\u4ee53.57%\u7684\u9519\u8bef\u7387\u593a\u51a0，\u5c06\u4eba\u7c7b\u89c6\u89c9\u8bc6\u522b\u8bef\u5dee（\u7ea65.1%）\u8fdc\u8fdc\u8d85\u8d8a，\u6210\u4e3a\u6df1\u5ea6\u5b66\u4e60\u8ba1\u7b97\u673a\u89c6\u89c9\u9886\u57df\u7684\u5960\u57fa\u6027\u6a21\u578b\u3002<\/p>\n

\u4e00\u3001\u6838\u5fc3\u521b\u65b0：\u6b8b\u5dee\u8fde\u63a5\u4e0e\u6b8b\u5dee\u5b66\u4e60<\/h3>\n

1.\u4f20\u7edf\u6df1\u5c42\u7f51\u7edc\u7684\u75db\u70b9
\n\u5728ResNet\u63d0\u51fa\u524d，\u968f\u7740CNN\u5c42\u6570\u589e\u52a0，\u4f1a\u51fa\u73b0\u4e24\u5927\u6838\u5fc3\u95ee\u9898：\u4e00\u662f\u68af\u5ea6\u6d88\u5931\/\u7206\u70b8，\u5bfc\u81f4\u6a21\u578b\u65e0\u6cd5\u6709\u6548\u8bad\u7ec3；\u4e8c\u662f\u7f51\u7edc\u9000\u5316，\u5373\u6df1\u5c42\u7f51\u7edc\u7684\u8bad\u7ec3\u8bef\u5dee\u548c\u6d4b\u8bd5\u8bef\u5dee\u53cd\u800c\u9ad8\u4e8e\u6d45\u5c42\u7f51\u7edc，\u5e76\u975e\u8fc7\u62df\u5408\u5bfc\u81f4，\u800c\u662f\u4f18\u5316\u96be\u5ea6\u5267\u589e\u3002\u4f20\u7edf\u7684\u68af\u5ea6\u88c1\u526a\u3001Batch Normalization\u7b49\u65b9\u6cd5\u53ea\u80fd\u7f13\u89e3\u5c40\u90e8\u95ee\u9898，\u65e0\u6cd5\u4ece\u6839\u672c\u4e0a\u89e3\u51b3\u3002
\n2.\u6b8b\u5dee\u8fde\u63a5\u673a\u5236
\nResNet\u7684\u6838\u5fc3\u89e3\u51b3\u65b9\u6848\u662f\u5f15\u5165\u6b8b\u5dee\u8fde\u63a5（ shortcut connection ），\u5373\u8df3\u8fc7\u4e00\u4e2a\u6216\u591a\u4e2a\u5377\u79ef\u5c42，\u5c06\u6d45\u5c42\u7279\u5f81\u76f4\u63a5\u4f20\u9012\u5230\u6df1\u5c42，\u4e0e\u6df1\u5c42\u7279\u5f81\u8fdb\u884c\u5143\u7d20\u7ea7\u76f8\u52a0\u3002\u8fd9\u79cd\u8bbe\u8ba1\u4f7f\u7f51\u7edc\u4e0d\u518d\u88ab\u8feb\u62df\u5408\u590d\u6742\u7684\u539f\u59cb\u6620\u5c04，\u800c\u662f\u62df\u5408\u6b8b\u5dee\u6620\u5c04，\u5927\u5e45\u964d\u4f4e\u4f18\u5316\u96be\u5ea6\u3002
\n\u4ece\u6570\u5b66\u89d2\u5ea6\u5b9a\u4e49：\u8bbe\u76ee\u6807\u539f\u59cb\u6620\u5c04\u4e3aH(x)，\u901a\u8fc7\u6b8b\u5dee\u8fde\u63a5\u5c06\u5176\u8f6c\u5316\u4e3a\u62df\u5408\u6b8b\u5deeF(x) = H(x) – x，\u6700\u7ec8\u8f93\u51fa\u4e3aF(x) + x\u3002\u82e5\u539f\u59cb\u6620\u5c04\u6700\u4f18\u89e3\u63a5\u8fd1\u6052\u7b49\u6620\u5c04，\u6b8b\u5deeF(x)\u53ef\u88ab\u8f7b\u677e\u4f18\u5316\u81f3\u63a5\u8fd1\u96f6，\u65e0\u9700\u6df1\u5c42\u7f51\u7edc\u8d39\u529b\u62df\u5408\u6052\u7b49\u6620\u5c04，\u8fd9\u4e5f\u662f\u6b8b\u5dee\u5b66\u4e60\u7684\u6838\u5fc3\u903b\u8f91\u3002\u8eab\u4efd\u5feb\u6377\u8fde\u63a5\u4e0d\u589e\u52a0\u989d\u5916\u53c2\u6570\u548c\u8ba1\u7b97\u91cf，\u786e\u4fdd\u6a21\u578b\u6548\u7387\u3002<\/p>\n

\u4e8c\u3001\u7f51\u7edc\u67b6\u6784：\u6b8b\u5dee\u5757\u4e0e\u591a\u7248\u672c\u8bbe\u8ba1<\/h3>\n

1.\u4e24\u79cd\u7ecf\u5178\u6b8b\u5dee\u5757
\nResNet\u901a\u8fc7\u5806\u53e0\u6b8b\u5dee\u5757\u6784\u5efa\u6df1\u5c42\u7f51\u7edc，\u6839\u636e\u7f51\u7edc\u6df1\u5ea6\u4e0d\u540c，\u8bbe\u8ba1\u4e86\u4e24\u79cd\u6b8b\u5dee\u5757\u7ed3\u6784：
\n\u2022\u57fa\u7840\u6b8b\u5dee\u5757（Basic Block）：\u9002\u7528\u4e8eResNet-18\u3001ResNet-34\u7b49\u8f83\u6d45\u7248\u672c，\u7531\u4e24\u4e2a3\u00d73\u5377\u79ef\u5c42\u7ec4\u6210，\u4e2d\u95f4\u642d\u914dBatch Normalization\u548cReLU\u6fc0\u6d3b\u51fd\u6570，\u6b8b\u5dee\u8fde\u63a5\u76f4\u63a5\u8de8\u63a5\u4e24\u4e2a\u5377\u79ef\u5c42\u3002
\n\u2022\u74f6\u9888\u6b8b\u5dee\u5757（Bottleneck Block）：\u9002\u7528\u4e8eResNet-50\u3001ResNet-101\u3001ResNet-152\u7b49\u6df1\u5c42\u7248\u672c，\u91c7\u7528\u201c1\u00d71\u5377\u79ef\u21923\u00d73\u5377\u79ef\u21921\u00d71\u5377\u79ef\u201d\u7684\u7ed3\u6784\u3002\u5176\u4e2d1\u00d71\u5377\u79ef\u5206\u522b\u5b9e\u73b0\u964d\u7ef4\u548c\u5347\u7ef4，\u5728\u51cf\u5c11\u53c2\u6570\u91cf\u548c\u8ba1\u7b97\u91cf\u7684\u540c\u65f6\u4fdd\u6301\u7279\u5f81\u8868\u8fbe\u80fd\u529b，\u4f7f\u6df1\u5c42\u7f51\u7edc\u5177\u5907\u9ad8\u6548\u8bad\u7ec3\u7279\u6027\u3002ResNet-50\u53c2\u6570\u91cf\u4ec525.5M，\u8fdc\u4f4e\u4e8eVGG16\u7684138M\u3002
\n2.\u4e3b\u6d41\u7248\u672c\u67b6\u6784\u5dee\u5f02
\nResNet\u7cfb\u5217\u5305\u542b\u591a\u4e2a\u7248\u672c，\u6838\u5fc3\u5dee\u5f02\u5728\u4e8e\u6b8b\u5dee\u5757\u7684\u5806\u53e0\u6570\u91cf\u548c\u603b\u5c42\u6570，\u5404\u7248\u672c\u5747\u7531\u201c\u8f93\u5165\u5377\u79ef\u5c42\u21924\u4e2a\u6b8b\u5dee\u9636\u6bb5\u2192\u5168\u5c40\u6c60\u5316\u5c42\u2192\u5168\u8fde\u63a5\u5c42\u201d\u6784\u6210，\u5177\u4f53\u5dee\u5f02\u5982\u4e0b：
\nResNet\u7cfb\u5217\u5305\u542b\u591a\u4e2a\u4e3b\u6d41\u7248\u672c，\u6838\u5fc3\u5dee\u5f02\u4f53\u73b0\u5728\u6b8b\u5dee\u5757\u5806\u53e0\u6570\u91cf\u3001\u603b\u5c42\u6570\u53ca\u6b8b\u5dee\u5757\u7c7b\u578b\u4e0a，\u5404\u7248\u672c\u5747\u9075\u5faa\u201c\u8f93\u5165\u5377\u79ef\u5c42\u21924\u4e2a\u6b8b\u5dee\u9636\u6bb5\u2192\u5168\u5c40\u6c60\u5316\u5c42\u2192\u5168\u8fde\u63a5\u5c42\u201d\u7684\u7edf\u4e00\u67b6\u6784\u3002\u5176\u4e2dResNet-18\u4e3a\u8f7b\u91cf\u7248\u672c，\u603b\u5377\u79ef\u5c42\u657018\u5c42，\u91c7\u7528\u57fa\u7840\u6b8b\u5dee\u5757，4\u4e2a\u6b8b\u5dee\u9636\u6bb5（conv2_x\u81f3conv5_x）\u7684\u5757\u6570\u5206\u522b\u4e3a2\u30012\u30012\u30012，\u5177\u5907\u8f7b\u91cf\u9ad8\u6548\u7684\u7279\u6027，\u9002\u5408\u8d44\u6e90\u53d7\u9650\u573a\u666f；ResNet-50\u662f\u5de5\u4e1a\u754c\u4e3b\u6d41\u9009\u62e9，\u603b\u5377\u79ef\u5c42\u657050\u5c42，\u91c7\u7528\u74f6\u9888\u6b8b\u5dee\u5757，\u5404\u6b8b\u5dee\u9636\u6bb5\u5757\u6570\u4e3a3\u30014\u30016\u30013，\u5b9e\u73b0\u4e86\u6027\u80fd\u4e0e\u6548\u7387\u7684\u5e73\u8861，\u53c2\u6570\u91cf\u4ec525.5M，\u8fdc\u4f4e\u4e8eVGG16\u7684138M；ResNet-101\u901a\u8fc7\u52a0\u6df1conv3_x\u9636\u6bb5（\u5757\u6570\u589e\u81f323），\u603b\u5377\u79ef\u5c42\u6570\u8fbe101\u5c42，\u540c\u6837\u91c7\u7528\u74f6\u9888\u6b8b\u5dee\u5757，\u5927\u5e45\u63d0\u5347\u4e86\u590d\u6742\u7279\u5f81\u63d0\u53d6\u80fd\u529b；ResNet-152\u5219\u4ee5\u7cbe\u5ea6\u4e3a\u6838\u5fc3\u4f18\u52bf，\u603b\u5377\u79ef\u5c42\u6570152\u5c42，conv3_x\u548cconv4_x\u9636\u6bb5\u5757\u6570\u5206\u522b\u6269\u5c55\u81f38\u548c36，\u5176ImageNet\u9519\u8bef\u7387\u4f4e\u81f321.3%，\u662f\u8be5\u7cfb\u5217\u4e2d\u7cbe\u5ea6\u6700\u4f18\u7684\u7248\u672c\u3002
\n3.\u5f00\u6e90\u7b97\u6cd5\u5b9e\u73b0\u65b9\u6848
\nResNet\u4f5c\u4e3a\u7ecf\u5178\u67b6\u6784，\u5df2\u5728\u4e3b\u6d41\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\u4e2d\u63d0\u4f9b\u5b98\u65b9\u5f00\u6e90\u5b9e\u73b0，\u540c\u65f6\u793e\u533a\u4e5f\u884d\u751f\u4e86\u8bf8\u591a\u4f18\u5316\u7248\u672c，\u9002\u914d\u4e0d\u540c\u5f00\u53d1\u9700\u6c42：
\n\u2022\u5b98\u65b9\u539f\u751f\u5b9e\u73b0：PyTorch\u7684torchvision.models\u6a21\u5757\u3001TensorFlow\u7684tf.keras.applications\u6a21\u5757\u5747\u5185\u7f6eResNet-18\u3001ResNet-50\u3001ResNet-101\u3001ResNet-152\u7b49\u7248\u672c，\u652f\u6301\u76f4\u63a5\u8c03\u7528\u9884\u8bad\u7ec3\u6a21\u578b\u6216\u4ece\u96f6\u8bad\u7ec3，\u9884\u8bad\u7ec3\u6743\u91cd\u57fa\u4e8eImageNet\u6570\u636e\u96c6，\u53ef\u5feb\u901f\u8fc1\u79fb\u81f3\u5404\u7c7b\u89c6\u89c9\u4efb\u52a1\u3002
\n\u2022\u793e\u533a\u4f18\u5316\u5b9e\u73b0：GitHub\u5f00\u6e90\u793e\u533a\u6709\u8bf8\u591a\u9488\u5bf9\u6027\u4f18\u5316\u7248\u672c，\u5982\u9488\u5bf9\u79fb\u52a8\u7aef\u7684\u8f7b\u91cf\u5316ResNet\u5b9e\u73b0（\u88c1\u526a\u901a\u9053\u6570\u3001\u7b80\u5316\u6b8b\u5dee\u5757），\u9488\u5bf9\u533b\u7597\u5f71\u50cf\u3001\u9065\u611f\u56fe\u50cf\u7b49\u7279\u5b9a\u573a\u666f\u7684\u9002\u914d\u7248\u672c，\u90e8\u5206\u5b9e\u73b0\u96c6\u6210\u4e86\u6df7\u5408\u7cbe\u5ea6\u8bad\u7ec3\u3001\u5206\u5e03\u5f0f\u8bad\u7ec3\u7b56\u7565，\u63d0\u5347\u8bad\u7ec3\u6548\u7387\u3002
\n\u2022\u81ea\u5b9a\u4e49\u62d3\u5c55\u5b9e\u73b0：\u5f00\u53d1\u8005\u53ef\u57fa\u4e8e\u5b98\u65b9\u6846\u67b6\u4e8c\u6b21\u5f00\u53d1，\u4f8b\u5982\u901a\u8fc7\u4fee\u6539\u74f6\u9888\u6b8b\u5dee\u5757\u7684\u5377\u79ef\u5206\u7ec4\u6570\u3001\u8c03\u6574\u5404\u9636\u6bb5\u901a\u9053\u6570，\u9002\u914d\u7279\u5b9a\u4efb\u52a1\u9700\u6c42；\u540c\u65f6\u53ef\u7ed3\u5408\u6ce8\u610f\u529b\u673a\u5236\u3001\u6279\u5f52\u4e00\u5316\u6539\u8fdb\u7b97\u6cd5（\u5982SyncBN），\u8fdb\u4e00\u6b65\u63d0\u5347\u6a21\u578b\u6027\u80fd，\u76f8\u5173\u5b9e\u73b0\u53ef\u53c2\u8003\u4f55\u607a\u660e\u56e2\u961f\u5f00\u6e90\u7684\u539f\u59cb\u4ee3\u7801\u4ed3\u5e93\u53ca\u9876\u4f1a\u8bba\u6587\u914d\u5957\u5b9e\u73b0\u3002<\/p>\n

\u4e09\u3001\u6027\u80fd\u4f18\u52bf\u4e0e\u5173\u952e\u6210\u5c31<\/h3>\n

1.\u7a81\u7834\u6027\u6027\u80fd\u8868\u73b0
\nResNet\u57282015\u5e74ILSVRC\u548cCOCO\u7ade\u8d5b\u4e2d\u6a2a\u626b\u4e94\u5927\u4efb\u52a1\u51a0\u519b，\u521b\u4e0b\u591a\u9879\u7eaa\u5f55：
\n\u2022ImageNet\u5206\u7c7b\u4efb\u52a1：152\u5c42\u7248\u672c\u9519\u8bef\u73873.57%，\u8f83\u7b2c\u4e8c\u540dVGG-19（7.32%）\u964d\u4f4e\u8fd1\u4e00\u534a，\u8fdc\u8d85\u4eba\u7c7b\u89c6\u89c9\u6c34\u5e73\u3002
\n\u2022\u68c0\u6d4b\u4e0e\u5206\u5272\u4efb\u52a1：\u5728ImageNet\u68c0\u6d4b\u3001COCO\u5206\u5272\u7b49\u4efb\u52a1\u4e2d，\u6027\u80fd\u8f83\u7b2c\u4e8c\u540d\u63d0\u534711%-27%，ResNet-101\u642d\u914dFaster R-CNN\u4f7f\u76ee\u6807\u68c0\u6d4b\u7387\u8fbe86%\u3002
\n\u2022\u8ba1\u7b97\u6548\u7387：ResNet-50\u5355\u5f20\u56fe\u50cf\u63a8\u7406\u65f6\u95f4（1080Ti GPU）\u4ec55.2ms，\u8f83\u540c\u7cbe\u5ea6\u6a21\u578b\u5feb3\u500d，\u68af\u5ea6\u6d41\u52a8\u6548\u7387\u63d0\u534740%\u4ee5\u4e0a\u3002
\n2.\u6838\u5fc3\u4f18\u52bf\u603b\u7ed3
\nResNet\u7684\u6210\u529f\u6e90\u4e8e\u4e09\u5927\u6838\u5fc3\u4f18\u52bf：\u4e00\u662f\u6b8b\u5dee\u8fde\u63a5\u89e3\u51b3\u68af\u5ea6\u6d88\u5931\/\u7206\u70b8\u548c\u7f51\u7edc\u9000\u5316\u95ee\u9898，\u4f7f\u5343\u5c42\u7ea7\u7f51\u7edc\u53ef\u8bad\u7ec3；\u4e8c\u662f\u74f6\u9888\u7ed3\u6784\u5b9e\u73b0\u9ad8\u6548\u6027，\u53c2\u6570\u91cf\u548c\u8ba1\u7b97\u91cf\u4f18\u4e8e\u4f20\u7edf\u6df1\u5c42CNN；\u4e09\u662f\u6cdb\u5316\u80fd\u529b\u5f3a，\u65e0\u9700\u590d\u6742\u8c03\u53c2\u5373\u53ef\u9002\u914d\u591a\u4efb\u52a1\u573a\u666f\u3002<\/p>\n

\u56db\u3001\u5e94\u7528\u573a\u666f\u4e0e\u53d1\u5c55\u6f14\u8fdb<\/h3>\n

1.\u5e7f\u6cdb\u5e94\u7528\u573a\u666f
\nResNet\u51ed\u501f\u4f18\u5f02\u6027\u80fd，\u6210\u4e3a\u8ba1\u7b97\u673a\u89c6\u89c9\u9886\u57df\u7684\u57fa\u7840\u9aa8\u5e72\u7f51\u7edc，\u5e94\u7528\u8986\u76d6\u591a\u9886\u57df：
\n\u2022\u57fa\u7840\u89c6\u89c9\u4efb\u52a1：\u56fe\u50cf\u5206\u7c7b\u3001\u76ee\u6807\u68c0\u6d4b\u3001\u8bed\u4e49\u5206\u5272\u3001\u4eba\u8138\u8bc6\u522b\u7b49，\u662f\u540e\u7eed\u4f17\u591a\u6a21\u578b（\u5982Faster R-CNN\u3001Mask R-CNN）\u7684\u6838\u5fc3\u9aa8\u5e72\u3002
\n\u2022\u533b\u7597\u5f71\u50cf：COVID-19 CT\u56fe\u50cf\u5206\u7c7b\u51c6\u786e\u7387\u8d8598%，\u5b9e\u73b0\u75c5\u7076\u7cbe\u51c6\u8bc6\u522b\u3002
\n\u2022\u519c\u4e1a\u9886\u57df：\u7389\u7c73\u53f6\u7247\u75c5\u5bb3\u68c0\u6d4b，ResNet-50\u51c6\u786e\u7387\u8fbe78.76%，\u8f83\u4f20\u7edfCNN\u63d0\u53477.75\u4e2a\u767e\u5206\u70b9，\u53ef\u533a\u52067\u7c7b\u4f5c\u7269\u75c5\u866b\u5bb3\u3002
\n2.\u540e\u7eed\u6f14\u8fdb\u4e0e\u4f18\u5316
\nResNet\u7684\u6b8b\u5dee\u5b66\u4e60\u601d\u60f3\u50ac\u751f\u4e86\u4f17\u591a\u6539\u8fdb\u7248\u672c，\u6301\u7eed\u63a8\u52a8\u6df1\u5c42\u7f51\u7edc\u53d1\u5c55：
\n\u2022ResNeXt：\u5f15\u5165\u5206\u7ec4\u5377\u79ef，\u589e\u5f3a\u7279\u5f81\u591a\u6837\u6027，\u63d0\u5347\u6a21\u578b\u6cdb\u5316\u80fd\u529b\u3002
\n\u2022Wide ResNet：\u6269\u5927\u6b8b\u5dee\u5757\u901a\u9053\u6570，\u5728\u6d45\u5c42\u7f51\u7edc\u4e2d\u5b9e\u73b0\u8d85\u8d8a\u6df1\u5c42ResNet\u7684\u6027\u80fd\u3002
\n\u2022MFI-ResNet（2025\u5e74\u63d0\u51fa）：\u7ed3\u5408\u6d41\u5339\u914d\u6a21\u578b，\u53c2\u6570\u51cf\u5c1146%\u4ee5\u4e0a，\u540c\u65f6\u7cbe\u5ea6\u7565\u6709\u63d0\u5347，\u4e3a\u6b8b\u5dee\u7f51\u7edc\u6548\u7387\u4f18\u5316\u63d0\u4f9b\u65b0\u65b9\u5411\u3002<\/p>\n

\u4e94\u3001\u603b\u7ed3<\/h3>\n

ResNet\u901a\u8fc7\u6781\u7b80\u7684\u6b8b\u5dee\u8fde\u63a5\u8bbe\u8ba1，\u98a0\u8986\u4e86\u6df1\u5c42\u795e\u7ecf\u7f51\u7edc\u7684\u8bad\u7ec3\u8303\u5f0f，\u5176\u6838\u5fc3\u4ef7\u503c\u4e0d\u4ec5\u5728\u4e8e\u7a81\u7834\u5c42\u6570\u9650\u5236，\u66f4\u5728\u4e8e\u63d0\u4f9b\u4e86\u201c\u6b8b\u5dee\u5b66\u4e60\u201d\u7684\u5168\u65b0\u4f18\u5316\u601d\u8def\u3002\u4f55\u607a\u660e\u56e2\u961f\u7684\u8bba\u6587\u300aDeep Residual Learning for Image Recognition\u300b\u5f15\u7528\u91cf\u8d8510\u4e07\u6b21，\u6210\u4e3a\u6df1\u5ea6\u5b66\u4e60\u9886\u57df\u88ab\u5f15\u7528\u6700\u591a\u7684\u6587\u732e\u4e4b\u4e00\u3002\u5982\u4eca，ResNet\u53ca\u5176\u884d\u751f\u6a21\u578b\u4ecd\u5728\u8ba1\u7b97\u673a\u89c6\u89c9\u3001\u8de8\u6a21\u6001\u5b66\u4e60\u7b49\u9886\u57df\u53d1\u6325\u6838\u5fc3\u4f5c\u7528，\u662f\u8fde\u63a5\u4f20\u7edfCNN\u4e0e\u73b0\u4ee3\u6df1\u5c42\u7f51\u7edc\u7684\u91cc\u7a0b\u7891\u5f0f\u67b6\u6784\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

\u6df1\u5ea6\u6b8b\u5dee\u7f51\u7edc（Residual Network，\u7b80\u79f0ResNet）\u662f2015\u5e74\u7531\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u4f55\u607a\u660e\u56e2\u961f\u63d0\u51fa\u7684\u4e00\u79cd\u7a81\u7834\u6027\u5377\u79ef\u795e\u7ecf\u7f51\u7edc（CNN）\u67b6\u6784，\u5176\u6838\u5fc3\u521b\u65b0\u7684\u6b8b\u5dee\u8fde\u63a5\u673a\u5236，\u5f7b\u5e95\u6253\u7834\u4e86\u201c\u7f51\u7edc\u5c42\u6570\u8d8a\u6df1\u6027\u80fd\u8d8a\u5dee\u201d\u7684\u6280\u672f\u74f6\u9888，\u6210\u529f\u8bad\u7ec3\u51fa152\u5c42\u7684\u8d85\u6df1\u7f51\u7edc，\u5728ImageNet\u56fe\u50cf\u5206\u7c7b\u7ade\u8d5b\u4e2d\u4ee53.57%\u7684\u9519\u8bef\u7387\u593a\u51a0，\u5c06\u4eba\u7c7b\u89c6\u89c9\u8bc6\u522b\u8bef\u5dee&#xff08<\/p>\n","protected":false},"author":2,"featured_media":67094,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[587],"topic":[],"class_list":["post-67095","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-server","tag-587"],"yoast_head":"\n\u6df1\u5ea6\u6b8b\u5dee\u7f51\u7edc\uff08ResNet\uff09\u6a21\u578b - 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