“`”<\/p>\n
<figure><table>
\n<thead>
\n<tr><th> \u540d\u79f0 <\/th><th> \u7279\u70b9<\/th><\/tr><\/thead>
\n<tbody><tr><td>LeNet5<\/td><td>\u6ca1\u5565\u7279\u70b9\uff0c\u4e0d\u8fc7\u662f\u7b2c\u4e00\u4e2aCNN\u5e94\u8be5\u77e5\u9053<\/td><\/tr><tr><td> AlexNet<\/td><td>\u5f15\u5165\u4e86ReLU\u548cdropout,\u5f15\u5165\u6570\u636e\u589e\u5f3a\uff0c\u6c60\u5316\u76f8\u4e92\u4e4b\u95f4\u6709\u8986\u76d6\uff0c\u4e09\u4e2a\u5377\u79ef\u4e00\u4e2a\u6700\u5927\u6c60\u5316+\u4e09\u4e2a\u5168\u8fde\u63a5<\/td><\/tr><tr><td> VGGNet<\/td><td>\u91c7\u75281<em>1\u548c3<\/em>3\u7684\u5377\u79ef\u6838\u4ee5\u53ca2*2\u7684\u6700\u5927\u6c60\u5316\u4f7f\u5f97\u5c42\u6570\u53d8\u5f97\u66f4\u6df1\uff0c\u5e38\u7528VGGNet-16\u548cVGGNet-19<\/td><\/tr><tr><td> Google Inception Net<\/td><td>\u8fd9\u4e2a\u5728\u63a7\u5236\u53c2\u6570\u7684\u540c\u65f6\uff0c\u83b7\u5f97\u4e86\u6bd4\u8f83\u597d\u7684\u5206\u7c7b\u6027\u80fd\uff0c\u548c\u4e0a\u9762\u76f8\u6bd4\u6709\u51e0\u4e2a\u5927\u7684\u6539\u8fdb <strong>1<\/strong>.\u53bb\u9664\u6700\u540e\u7684\u5168\u8fde\u63a5\u5c42\uff0c\u800c\u662f\u7528\u4e00\u4e2a\u5168\u5c40\u7684\u5e73\u5747\u6c60\u5316\u5c42\u6765\u53d6\u4ee3\u5b83 2.\u5f15\u5165Inception Module,\u8fd9\u662f\u4e00\u4e2a4\u4e2a\u5206\u652f\u7ed3\u5408\u7684\u7ed3\u6784\uff0c\u6240\u6709\u7684\u5206\u652f\u90fd\u7528\u5230\u4e861<em>1\u7684\u5377\u79ef\uff0c\u8fd9\u662f\u56e0\u4e3a1\u00d71\u6027\u4ef7\u6bd4\u5f88\u9ad8\uff0c\u53ef\u4ee5\u7528\u5f88\u5c11\u7684\u53c2\u6570\u8fbe\u5230\u975e\u7ebf\u6027\u548c\u7279\u5f81\u53d8\u6362 3.Inception V2\u7b2c\u4e8c\u7248\u5c06\u6240\u6709\u76845<\/em>5\u53d8\u62102\u4e2a3*3\uff0c\u800c\u4e14\u63d0\u51fa\u6765\u8457\u540d\u7684Batch Normalization4.Inception V3\u7b2c\u4e09\u7248\u5c31\u66f4\u53d8\u6001\u4e86\uff0c\u628a\u8f83\u5927\u7684\u4e8c\u7ef4\u5377\u79ef\u62c6\u6210\u4e86\u4e24\u4e2a\u8f83\u5c0f\u7684\u4e00\u7ef4\u5377\u79ef\uff0c\u52a0\u901f\u8fd0\u7b97\uff0c\u51cf\u5c11\u8fc7\u62df\u5408\uff0c\u540c\u65f6\u8fd8\u66f4\u6539\u4e86Inception Module\u7684\u7ed3\u6784<\/td><\/tr><tr><td>\u5fae\u8f6fResNet\u6b8b\u5dee\u795e\u7ecf\u7f51\u7edc(Residual Neural Network)<\/td><td> <strong>1<\/strong>.\u5f15\u5165\u9ad8\u901f\u516c\u8def\u7ed3\u6784\uff0c\u53ef\u4ee5\u8ba9\u795e\u7ecf\u7f51\u7edc \u53d8\u5f97\u975e\u5e38\u6df1 2.ResNet\u7b2c\u4e8c\u4e2a\u7248\u672c\u5c06ReLU\u6fc0\u6d3b\u51fd\u6570 \u53d8\u6210y=x\u7684\u7ebf\u6027\u51fd\u6570<\/td><\/tr><\/tbody>
\n<\/table><\/figure><\/p>\n
\u00a0<\/p>\n
\u00a0<\/p>\n
<pre><code> "“`
\n<\/code><\/pre>\n","protected":false},"excerpt":{"rendered":"
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