{"id":3271,"date":"2020-03-14T19:50:27","date_gmt":"2020-03-14T11:50:27","guid":{"rendered":"http:\/\/www.sniper97.cn\/?p=3271"},"modified":"2020-03-14T19:50:27","modified_gmt":"2020-03-14T11:50:27","slug":"%e3%80%90%e5%90%b4%e6%81%a9%e8%be%be%e6%b7%b1%e5%ba%a6%e5%ad%a6%e4%b9%a0%e3%80%91%e6%b7%b1%e5%ba%a6%e5%8d%b7%e7%a7%af%e7%bd%91%e7%bb%9c%ef%bc%9a%e5%ae%9e%e4%be%8b%e6%8e%a2%e7%a9%b6","status":"publish","type":"post","link":"http:\/\/www.sniper97.cn\/index.php\/note\/deep-learning\/3271\/","title":{"rendered":"\u3010\u5434\u6069\u8fbe\u6df1\u5ea6\u5b66\u4e60\u3011\u6df1\u5ea6\u5377\u79ef\u7f51\u7edc\uff1a\u5b9e\u4f8b\u63a2\u7a76"},"content":{"rendered":"\n<p>\u5434\u6069\u8fbe\u6df1\u5ea6\u5b66\u4e60\u7b2c\u56db\u8bfe\u7b2c\u4e8c\u5468\uff1a\u6df1\u5ea6\u5377\u79ef\u7f51\u7edc\uff1a\u5b9e\u4f8b\u63a2\u7a76<\/p>\n\n\n<p>\u6ce8\uff1a\u6240\u6709\u4ee3\u7801\u5747\u53ef\u5728github\u83b7\u5f97\u5b8c\u6574\u6587\u4ef6\u3002<\/p>\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter\"><img loading=\"lazy\" decoding=\"async\" width=\"348\" height=\"208\" src=\"\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-125.png\" alt=\"\" class=\"wp-image-3289\" srcset=\"http:\/\/www.sniper97.cn\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-125.png 348w, http:\/\/www.sniper97.cn\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-125-300x179.png 300w\" sizes=\"(max-width: 348px) 100vw, 348px\" \/><\/figure><\/div>\n\n\n<h2 class=\"wp-block-heading\">1.\u7ecf\u5178\u7f51\u7edc<\/h2>\n\n\n<p>\u9996\u5148\u4ecb\u7ecd\u51e0\u4e2a\u7ecf\u5178\u7684\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\uff0c\u4ed6\u4eec\u5206\u522b\u662fLeNet-5\u3001AlexNet\u548cVGGNet\u3002<\/p>\n\n\n<p>LeNet-5\uff1a\u5047\u8bbe\u6211\u4eec\u6709\u4e00\u5f2032*32*1\u7684\u56fe\u7247\uff0cleNet-5\u53ef\u4ee5\u8bc6\u522b\u56fe\u4e2d\u7684\u624b\u5199\u6570\u5b57\u3002\u56e0\u4e3a leNet-5 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\/><\/figure><\/div>\n\n\n<p>\u8fd9\u4e2a\u7f51\u7edc\u5927\u6982\u67096w\u4e2a\u53c2\u6570\u3002<\/p>\n\n\n<p>AlexNet\uff1a\u9996\u5148\u7528\u4e00\u5f20227*227*3\u7684\u56fe\u7247\u4f5c\u4e3a\u8f93\u5165\uff0c\u7b2c\u4e00\u5c42\u6211\u4eec\u4f7f\u752896\u4e2a11*11\u7684\u8fc7\u6ee4\u5668\uff0c\u6b65\u5e45\u4e3a4\uff0c\u56e0\u6b64\u56fe\u7247\u7f29\u5c0f\u523055*55.\u7136\u540e\u7528\u4e00\u4e2a3*3\u7684\u6700\u5927\u6c60\u5316\u5c42\uff0cf=3\uff0c\u6b65\u5e45\u4e3a2\uff0c\u5377\u79ef\u5c42\u5927\u5c0f\u53d8\u4e3a27*27*96\uff0c\u7136\u540e\u518d\u6267\u884c\u4e00\u4e2a5*5\u7684\u5377\u79ef\uff0cpadding\u4e4b\u540e\u8f93\u51fa\u4f9d\u7136\u662f27*27*256\uff0c\u7136\u540e\u7ee7\u7eed\u6700\u5927\u6c60\u5316\u5c42\u53d8\u621013*13*256<\/p>\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter\"><img loading=\"lazy\" decoding=\"async\" width=\"642\" height=\"247\" src=\"\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-110.png\" alt=\"\" class=\"wp-image-3273\" srcset=\"http:\/\/www.sniper97.cn\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-110.png 642w, http:\/\/www.sniper97.cn\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-110-300x115.png 300w\" sizes=\"(max-width: 642px) 100vw, 642px\" \/><\/figure><\/div>\n\n\n<p>\u7136\u540e\u8fdb\u884c\u4e09\u6b213*3\u7684same\u5377\u79ef\u53d8\u621013*13*256\u7136\u540e\u8fdb\u884c\u4e00\u4e2a\u6700\u5927\u6c60\u5316\u5c42\u53d8\u62106*6*256\u6700\u540e\u662f\u4e09\u4e2a\u5168\u8fde\u63a5\u5c42\u3002<\/p>\n\n\n<p> AlexNet \u5305\u62ec\u4e86\u5927\u7ea66000w\u4e2a\u53c2\u6570\u3002<\/p>\n\n\n<p>VGG-16\uff1a VGG-16 \u7684\u8d85\u53c2\u6bd4\u8f83\u5c11\uff0c\u662f\u4e00\u79cd\u53ea\u9700\u4e13\u6ce8\u4e8e\u6784\u5efa\u5377\u79ef\u5c42\u7684\u7b80\u5355\u7f51\u7edc\u3002<\/p>\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter\"><img loading=\"lazy\" decoding=\"async\" width=\"677\" height=\"321\" src=\"\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-111.png\" alt=\"\" class=\"wp-image-3274\" srcset=\"http:\/\/www.sniper97.cn\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-111.png 677w, http:\/\/www.sniper97.cn\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-111-300x142.png 300w\" sizes=\"(max-width: 677px) 100vw, 677px\" \/><\/figure><\/div>\n\n\n<p> \u6b63\u662f\u8bbe\u8ba1\u6b64\u79cd\u7f51\u7edc\u7ed3\u6784\u7684\u53e6\u4e00\u4e2a\u7b80\u5355\u539f\u5219\u3002\u8fd9\u79cd\u76f8\u5bf9\u4e00\u81f4\u7684\u7f51\u7edc\u7ed3\u6784\u5bf9\u7814\u7a76\u8005\u5f88\u6709\u5438\u5f15\u529b\uff0c\u800c\u5b83\u7684\u4e3b\u8981\u7f3a\u70b9\u662f\u9700\u8981\u8bad\u7ec3\u7684\u7279\u5f81\u6570\u91cf\u975e\u5e38\u5de8\u5927\u3002 <\/p>\n\n\n<h2 class=\"wp-block-heading\">2.\u6b8b\u5dee\u7f51\u7edc<\/h2>\n\n\n<p>\u5bf9\u4e8e\u5f88\u6df1\u7684\u7f51\u7edc\u662f\u5f88\u96be\u8bad\u7ec3\u7684\uff0c\u4e3b\u8981\u539f\u56e0\u662f\u5b58\u5728\u68af\u5ea6\u6d88\u5931\u548c\u68af\u5ea6\u7206\u70b8\u7684\u95ee\u9898\u3002\u800c\u6b8b\u5dee\u7f51\u7edc\u5219\u53ef\u4ee5\u4e00\u5b9a\u7a0b\u5ea6\u4e0a\u89e3\u51b3\u8fd9\u79cd\u95ee\u9898\u3002<\/p>\n\n\n<p>\u6b8b\u5dee\u7f51\u7edc\u5b9e\u9645\u4e0a\u662f\u591a\u4e2a\u4e0b\u56fe\u4e2d\u7684\u5757\u7ec4\u6210\uff1a<\/p>\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter\"><img loading=\"lazy\" decoding=\"async\" width=\"224\" height=\"111\" src=\"\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-112.png\" alt=\"\" class=\"wp-image-3275\"\/><\/figure><\/div>\n\n\n<p>\u7531\u4e8e\u6dfb\u52a0\u4e86\u4e00\u6761\u53ef\u4ee5\u8df3\u8fc7\u4e00\u5c42\u7f51\u7edc\u7684\u53c2\u6570\uff0c\u800c\u8fd9\u5c42\u53c2\u6570\u4e5f\u662f\u7ecf\u8fc7\u53cd\u5411\u4f20\u64ad\u5b66\u4e60\u6765\u7684\uff0c\u56e0\u6b64\u53ef\u4ee5\u66f4\u597d\u5730\u5339\u914d\u6570\u636e\u3002<\/p>\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter\"><img loading=\"lazy\" decoding=\"async\" width=\"639\" height=\"143\" src=\"\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-113.png\" alt=\"\" class=\"wp-image-3276\" srcset=\"http:\/\/www.sniper97.cn\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-113.png 639w, http:\/\/www.sniper97.cn\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-113-300x67.png 300w\" sizes=\"(max-width: 639px) 100vw, 639px\" \/><\/figure><\/div>\n\n\n<p>\u6211\u4eec\u77e5\u9053\u4e00\u822c\u8ba4\u4e3a\u968f\u7740\u7f51\u7edc\u5c42\u6570\u7684\u52a0\u5927\uff0c\u4ee3\u4ef7\u5e94\u8be5\u5982\u5de6\u56fe\u7eff\u7ebf\u4e00\u6837\uff0c\u4f46\u662f\u5b9e\u9645\u4e0a\u662f\u84dd\u7ebf\uff0c\u5e76\u6ca1\u6709\u8fbe\u5230\u6211\u4eec\u9884\u671f\u7684\u7eff\u7ebf\u6c34\u5e73\uff0c\u800c\u4f7f\u7528\u6b8b\u5dee\u7f51\u7edc\u5219\u53ef\u4ee5\u8fbe\u5230\u53f3\u56fe\u7684\u6837\u5b50\u3002<\/p>\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter\"><img loading=\"lazy\" decoding=\"async\" width=\"534\" height=\"174\" src=\"\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-114.png\" alt=\"\" class=\"wp-image-3277\" srcset=\"http:\/\/www.sniper97.cn\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-114.png 534w, http:\/\/www.sniper97.cn\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-114-300x98.png 300w\" sizes=\"(max-width: 534px) 100vw, 534px\" \/><\/figure><\/div>\n\n\n<h2 class=\"wp-block-heading\">3.\u7f51\u7edc\u4e2d\u7684\u7f51\u7edc\u4ee5\u53ca1*1\u5377\u79ef<\/h2>\n\n\n<p>\u5982\u4e0b\u56fe\u5c31\u662f\u4e00\u4e2a1*1\u5377\u79ef\u7684\u793a\u610f\u56fe<\/p>\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter\"><img loading=\"lazy\" decoding=\"async\" width=\"539\" height=\"314\" src=\"\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-115.png\" alt=\"\" class=\"wp-image-3279\" srcset=\"http:\/\/www.sniper97.cn\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-115.png 539w, http:\/\/www.sniper97.cn\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-115-300x175.png 300w\" sizes=\"(max-width: 539px) 100vw, 539px\" \/><\/figure><\/div>\n\n\n<p>\u90a3\u4e481*1\u7684\u5377\u79ef\u6709\u4ec0\u4e48\u7528\u5462\uff1f<\/p>\n\n\n<p>\u6211\u4eec\u75281*1\u7684\u5377\u79ef\u8ba1\u7b97\u51fa\u7ed3\u679c\u7684\u4e00\u4e2a1*1\u4f4d\u7f6e\uff0c\u4e5f\u5c31\u662f\u76f8\u5f53\u4e8e\u505a\u4e86\u4e00\u5c42\u5168\u8fde\u63a5<\/p>\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter\"><img loading=\"lazy\" decoding=\"async\" width=\"516\" height=\"160\" src=\"\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-116.png\" alt=\"\" class=\"wp-image-3280\" srcset=\"http:\/\/www.sniper97.cn\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-116.png 516w, http:\/\/www.sniper97.cn\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-116-300x93.png 300w\" sizes=\"(max-width: 516px) 100vw, 516px\" \/><\/figure><\/div>\n\n\n<p>\u800c\u5982\u679c\u6211\u4eec\u4f7f\u7528\u591a\u4e2a1*1\u5377\u79ef\uff0c\u6211\u4eec\u4e5f\u5c31\u53ef\u4ee5\u5f97\u5230\u591a\u4e2a\u4e2achannel\u7684\u7ed3\u679c<\/p>\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter\"><img loading=\"lazy\" decoding=\"async\" width=\"636\" height=\"184\" src=\"\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-117.png\" alt=\"\" class=\"wp-image-3281\" srcset=\"http:\/\/www.sniper97.cn\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-117.png 636w, http:\/\/www.sniper97.cn\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-117-300x87.png 300w\" sizes=\"(max-width: 636px) 100vw, 636px\" \/><\/figure><\/div>\n\n\n<p>\u56e0\u6b64\u6211\u4eec\u53ef\u4ee5\u75281*1\u7684\u5377\u79ef\u7528\u6765\u538b\u7f29\u7279\u5f81<\/p>\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter\"><img loading=\"lazy\" decoding=\"async\" width=\"401\" height=\"222\" src=\"\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-118.png\" alt=\"\" class=\"wp-image-3282\" srcset=\"http:\/\/www.sniper97.cn\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-118.png 401w, http:\/\/www.sniper97.cn\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-118-300x166.png 300w\" sizes=\"(max-width: 401px) 100vw, 401px\" \/><\/figure><\/div>\n\n\n<h2 class=\"wp-block-heading\">4.\u8c37\u6b4cInception\u7f51\u7edc\u7b80\u4ecb<\/h2>\n\n\n<p>Inception \u76d7\u68a6\u7a7a\u95f4\u3002<\/p>\n\n\n<p>\u8fd9\u4e2a\u7f51\u7edc\u4e4b\u6240\u4ee5\u53eb\u8fd9\u4e48\u68a6\u5e7b\u7684\u4e00\u4e2a\u540d\u5b57\u5c31\u662f\u56e0\u4e3a\u8fd9\u4e2a\u7f51\u7edc\u786e\u5b9e\u633a\u68a6\u5e7b\uff0c\u4ed6\u8fd8\u6709\u4e00\u4e2a\u540d\u5b57\u53eb\u505aGoogleLeNet\uff0c\u662f\u5411LeNet\u7f51\u7edc\u81f4\u656c\u3002<\/p>\n\n\n<p>\u8fd9\u4e2a\u7f51\u7edc\u6211\u4eec\u4e0d\u518d\u8fdb\u884c\u5377\u79ef\u5927\u5c0f\u7684\u9009\u62e9\uff0c\u800c\u662f\u7531\u7f51\u7edc\u8fdb\u884c\u9009\u62e9\uff0c\u6211\u4eec\u5c06\u6bcf\u4e00\u79cd\u60c5\u51b5\u90fd\u653e\u5230\u4e00\u8d77\uff1a<\/p>\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" decoding=\"async\" width=\"639\" height=\"256\" src=\"\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-119.png\" alt=\"\" class=\"wp-image-3283\" srcset=\"http:\/\/www.sniper97.cn\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-119.png 639w, http:\/\/www.sniper97.cn\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-119-300x120.png 300w\" sizes=\"(max-width: 639px) 100vw, 639px\" \/><\/figure>\n\n\n<p>\u5982\u679c\u6211\u4eec\u7b80\u5355\u768428*28*192\u7684\u53d8\u621028*28*32\uff0c\u6211\u4eec\u9700\u8981\u8ba1\u7b971.2e\u8bcd<\/p>\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter\"><img loading=\"lazy\" decoding=\"async\" width=\"442\" height=\"224\" src=\"\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-120.png\" alt=\"\" class=\"wp-image-3284\" srcset=\"http:\/\/www.sniper97.cn\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-120.png 442w, http:\/\/www.sniper97.cn\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-120-300x152.png 300w\" sizes=\"(max-width: 442px) 100vw, 442px\" \/><\/figure><\/div>\n\n\n<p>\u800c\u5982\u679c\u6211\u4eec\u4f7f\u75281*1\u5377\u79ef<\/p>\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter\"><img loading=\"lazy\" decoding=\"async\" width=\"625\" height=\"191\" src=\"\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-121.png\" alt=\"\" class=\"wp-image-3285\" srcset=\"http:\/\/www.sniper97.cn\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-121.png 625w, http:\/\/www.sniper97.cn\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-121-300x92.png 300w\" sizes=\"(max-width: 625px) 100vw, 625px\" \/><\/figure><\/div>\n\n\n<p>\u8fd9\u65f6\u5019\u6211\u4eec\u53ea\u9700\u8981\u8ba1\u7b971200w\uff0c\u5927\u6982\u662f\u4e0a\u4e00\u79cd\u7684\u5341\u5206\u4e4b\u4e00\uff0c\u56e0\u6b64\u7b2c\u4e8c\u79cd\u663e\u7136\u662f\u6bd4\u8f83\u597d\u7684\u65b9\u6cd5\uff0c\u53c8\u56e0\u4e3a\u4e2d\u95f4\u52a0\u4e86\u4e00\u4e2a\u8f83\u5c0f\u7684\u5377\u79ef\uff0c\u56e0\u6b64\u4e5f\u88ab\u5f62\u8c61\u7684\u53eb\u505a\u74f6\u9888\u5c42\u3002<\/p>\n\n\n<p>\u90a3\u4e48\u8fd9\u4e2a\u7f51\u7edc\u662f\u4ec0\u4e48\u6837\u5b50\u7684\u5462\uff1f<\/p>\n\n\n<p>\u6211\u4eec\u5df2\u7ecf\u770b\u8fc7\u57fa\u672c\u7684\u6837\u5b50\uff1a<\/p>\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter\"><img loading=\"lazy\" decoding=\"async\" width=\"493\" height=\"311\" src=\"\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-122.png\" alt=\"\" class=\"wp-image-3286\" srcset=\"http:\/\/www.sniper97.cn\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-122.png 493w, http:\/\/www.sniper97.cn\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-122-300x189.png 300w\" sizes=\"(max-width: 493px) 100vw, 493px\" \/><\/figure><\/div>\n\n\n<p>\u7136\u540e\u5c06\u591a\u4e2a\u8fd9\u4e2a\u6a21\u5757\u62fc\u63a5\u8d77\u6765\uff1a<\/p>\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter\"><img loading=\"lazy\" decoding=\"async\" width=\"622\" height=\"276\" src=\"\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-123.png\" alt=\"\" class=\"wp-image-3287\" srcset=\"http:\/\/www.sniper97.cn\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-123.png 622w, http:\/\/www.sniper97.cn\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-123-300x133.png 300w\" sizes=\"(max-width: 622px) 100vw, 622px\" \/><\/figure><\/div>\n\n\n<p>\u5b9e\u9645\u4e0a\u771f\u6b63\u7684\u7f51\u7edc\u6bd4\u8fd9\u4e2a\u8fd8\u591a\u4e00\u70b9\u4e1c\u897f\uff0c\u5c31\u662f\u66f4\u591a\u7684\u8f93\u51fa\uff1a<\/p>\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter\"><img loading=\"lazy\" decoding=\"async\" width=\"620\" height=\"315\" src=\"\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-124.png\" alt=\"\" class=\"wp-image-3288\" srcset=\"http:\/\/www.sniper97.cn\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-124.png 620w, http:\/\/www.sniper97.cn\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-124-300x152.png 300w\" sizes=\"(max-width: 620px) 100vw, 620px\" \/><\/figure><\/div>\n\n\n<p>\u8fd9\u6837\u901a\u8fc7\u9690\u85cf\u5c42\u6765\u8fdb\u884c\u9884\u6d4b\uff0c\u53ef\u4ee5\u627e\u51fa\u66f4\u597d\u7684\u7f51\u7edc\u7ed3\u6784\u3002<\/p>\n\n\n<h2 class=\"wp-block-heading\">\u6d4b\u9a8c<\/h2>\n\n\n<p><strong>1. \u5728\u5178\u578b\u7684\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u4e2d\uff0c\u968f\u7740\u7f51\u7edc\u7684\u6df1\u5ea6\u589e\u52a0\uff0c\u4f60\u80fd\u770b\u5230\u7684\u73b0\u8c61\u662f\uff1f<\/strong><\/p>\n\n\n<ol><li> <em>nH<\/em> \u548c <em>nW<\/em> \u589e\u52a0\uff0c\u540c\u65f6<em>nC<\/em> \u51cf\u5c11\u3002 <\/li><li><em>nH<\/em> \u548c <em>nW<\/em> \u51cf\u5c11\uff0c\u540c\u65f6 <em>nC<\/em> \u4e5f\u51cf\u5c11\u3002 <\/li><li><em>nH<\/em> \u548c <em>nW<\/em> \u589e\u52a0\uff0c\u540c\u65f6 <em>nC<\/em> \u4e5f\u589e\u52a0\u3002 <\/li><li><em>nH<\/em> \u548c <em>nW<\/em> \u51cf\u5c11\uff0c\u540c\u65f6 <em>nC<\/em> \u589e\u52a0\u3002 <\/li><\/ol>\n\n\n<p>4\u3002<\/p>\n\n\n<p><strong>2. \u5728\u5178\u578b\u7684\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u4e2d\uff0c\u4f60\u80fd\u770b\u5230\u7684\u662f\uff1f <\/strong><\/p>\n\n\n<ol><li> \u591a\u4e2a\u5377\u79ef\u5c42\u540e\u9762\u8ddf\u7740\u7684\u662f\u4e00\u4e2a\u6c60\u5316\u5c42\u3002 <\/li><li> \u591a\u4e2a\u6c60\u5316\u5c42\u540e\u9762\u8ddf\u7740\u7684\u662f\u4e00\u4e2a\u5377\u79ef\u5c42\u3002<\/li><li> \u5168\u8fde\u63a5\u5c42\uff08FC\uff09\u4f4d\u4e8e\u6700\u540e\u7684\u51e0\u5c42\u3002  <\/li><li> \u5168\u8fde\u63a5\u5c42\uff08FC\uff09\u4f4d\u4e8e\u5f00\u59cb\u7684\u51e0\u5c42\u3002 <\/li><\/ol>\n\n\n<p>2\uff0c4\u3002<\/p>\n\n\n<p><strong>3. \u4e3a\u4e86\u6784\u5efa\u4e00\u4e2a\u975e\u5e38\u6df1\u7684\u7f51\u7edc\uff0c\u6211\u4eec\u7ecf\u5e38\u5728\u5377\u79ef\u5c42\u4f7f\u7528\u201cvalid\u201d\u7684\u586b\u5145\uff0c\u53ea\u4f7f\u7528\u6c60\u5316\u5c42\u6765\u7f29\u5c0f\u6fc0\u6d3b\u503c\u7684\u5bbd\/\u9ad8\u5ea6\uff0c\u5426\u5219\u7684\u8bdd\u5c31\u4f1a\u4f7f\u5f97\u8f93\u5165\u8fc5\u901f\u7684\u53d8\u5c0f\u3002 <\/strong><\/p>\n\n\n<p>\u9519\u8bef\u3002<\/p>\n\n\n<p><strong>4. \u6211\u4eec\u4f7f\u7528\u666e\u901a\u7684\u7f51\u7edc\u7ed3\u6784\u6765\u8bad\u7ec3\u4e00\u4e2a\u5f88\u6df1\u7684\u7f51\u7edc\uff0c\u8981\u4f7f\u5f97\u7f51\u7edc\u9002\u5e94\u4e00\u4e2a\u5f88\u590d\u6742\u7684\u529f\u80fd\uff08\u6bd4\u5982\u589e\u52a0\u5c42\u6570)\uff0c\u603b\u4f1a\u6709\u66f4\u4f4e\u7684\u8bad\u7ec3\u8bef\u5dee\u3002 <\/strong><\/p>\n\n\n<p>\u9519\u8bef\u3002<\/p>\n\n\n<p><strong>5. \u9762\u8ba1\u7b97\u6b8b\u5dee(ResNet)\u5757\u7684\u516c\u5f0f\u4e2d\uff0c\u6a2a\u7ebf\u4e0a\u5e94\u8be5\u5206\u522b\u586b\u4ec0\u4e48\uff1f  <\/strong><\/p>\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter\"><img loading=\"lazy\" decoding=\"async\" width=\"471\" height=\"42\" src=\"\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-127.png\" alt=\"\" class=\"wp-image-3295\" srcset=\"http:\/\/www.sniper97.cn\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-127.png 471w, http:\/\/www.sniper97.cn\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-127-300x27.png 300w\" sizes=\"(max-width: 471px) 100vw, 471px\" \/><\/figure><\/div>\n\n\n<ol><li> \u5206\u522b\u662f 0 \u4e0e <em>z<\/em>[<em>l<\/em>+1] \u3002 <\/li><li>  \u5206\u522b\u662f <em>a<\/em>[<em>l<\/em>] \u4e0e 0  <\/li><li> \u5206\u522b\u662f <em>z<\/em>[<em>l<\/em>] \u4e0e <em>a<\/em>[<em>l<\/em>] \u3002 <\/li><li> \u5206\u522b\u662f 0 \u4e0e <em>a<\/em>[<em>l<\/em>] \u3002 <\/li><\/ol>\n\n\n<p>2\u3002<\/p>\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter\"><img loading=\"lazy\" decoding=\"async\" width=\"556\" height=\"112\" src=\"\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-128.png\" alt=\"\" class=\"wp-image-3296\" srcset=\"http:\/\/www.sniper97.cn\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-128.png 556w, http:\/\/www.sniper97.cn\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-128-300x60.png 300w\" sizes=\"(max-width: 556px) 100vw, 556px\" \/><\/figure><\/div>\n\n\n<p style=\"text-align:left\"><strong>6. \u5173\u4e8e\u6b8b\u5dee\u7f51\u7edc\u4e0b\u9762\u54ea\u4e2a\uff08\u4e9b\uff09\u8bf4\u6cd5\u662f\u6b63\u786e\u7684\uff1f <\/strong><\/p>\n\n\n<ol><li> \u4f7f\u7528\u8df3\u8d8a\u8fde\u63a5\u80fd\u591f\u5bf9\u53cd\u5411\u4f20\u64ad\u7684\u68af\u5ea6\u4e0b\u964d\u6709\u76ca\u4e14\u80fd\u591f\u5e2e\u4f60\u5bf9\u66f4\u6df1\u7684\u7f51\u7edc\u8fdb\u884c\u8bad\u7ec3\u3002 <\/li><li> \u8df3\u8dc3\u8fde\u63a5\u8ba1\u7b97\u8f93\u5165\u7684\u590d\u6742\u7684\u975e\u7ebf\u6027\u51fd\u6570\u4ee5\u4f20\u9012\u5230\u7f51\u7edc\u4e2d\u7684\u66f4\u6df1\u5c42\u3002<\/li><li> \u6709L\u5c42\u7684\u6b8b\u5dee\u7f51\u7edc\u4e00\u5171\u6709<em>L<\/em>2\u79cd\u8df3\u8dc3\u8fde\u63a5\u7684\u987a\u5e8f\u3002  <\/li><li> \u8df3\u8dc3\u8fde\u63a5\u80fd\u591f\u4f7f\u5f97\u7f51\u7edc\u8f7b\u677e\u5730\u5b66\u4e60\u6b8b\u5dee\u5757\u7c7b\u7684\u8f93\u5165\u8f93\u51fa\u95f4\u7684\u8eab\u4efd\u6620\u5c04\u3002 <\/li><\/ol>\n\n\n<p>2\uff0c4\u3002<\/p>\n\n\n<p><strong>7. \u5047\u8bbe\u4f60\u7684\u8f93\u5165\u7684\u7ef4\u5ea6\u4e3a64x64x16\uff0c\u5355\u4e2a1&#215;1\u7684\u5377\u79ef\u8fc7\u6ee4\u5668\u542b\u6709\u591a\u5c11\u4e2a\u53c2\u6570\uff08\u5305\u62ec\u504f\u5dee\uff09\uff1f <\/strong><\/p>\n\n\n<p>16+1\u3002<\/p>\n\n\n<p><strong>8. \u5047\u8bbe\u4f60\u6709\u4e00\u4e2a\u7ef4\u5ea6\u4e3a<\/strong><em><strong>nH<\/strong><\/em><strong>\u00d7<\/strong><em><strong>nW<\/strong><\/em><strong>\u00d7<\/strong><em><strong>nC<\/strong><\/em><strong>\u7684\u5377\u79ef\u8f93\u5165\uff0c\u4e0b\u9762\u54ea\u4e2a\u8bf4\u6cd5\u662f\u6b63\u786e\u7684\uff08\u5047\u8bbe\u5377\u79ef\u5c42\u4e3a1&#215;1\uff0c\u6b65\u4f10\u4e3a1\uff0cpadding\u4e3a0\uff09\uff1f <\/strong><\/p>\n\n\n<ul><li> \u4f60\u80fd\u591f\u4f7f\u75281&#215;1\u7684\u5377\u79ef\u5c42\u6765\u51cf\u5c11<em>nC<\/em>\uff0c\u4f46\u662f\u4e0d\u80fd\u51cf\u5c11 <em>nH<\/em>\u3001<em>nW<\/em><\/li><li> \u4f60\u53ef\u4ee5\u4f7f\u7528\u6c60\u5316\u5c42\u51cf\u5c11 <em>nH<\/em>\u3001<em>nW<\/em>\uff0c\u4f46\u662f\u4e0d\u80fd\u51cf\u5c11 <em>nC<\/em><\/li><li> \u4f60\u53ef\u4ee5\u4f7f\u7528\u4e00\u4e2a1&#215;1\u7684\u5377\u79ef\u5c42\u6765\u51cf\u5c11<em>nH<\/em>\u3001<em>nW<\/em>\u548c<em>nC<\/em>. <\/li><li> \u4f60\u53ef\u4ee5\u4f7f\u7528\u6c60\u5316\u5c42\u51cf\u5c11 <em>nH<\/em>\u3001 <em>nW<\/em>\u548c<em>nC<\/em>. <\/li><\/ul>\n\n\n<p>1\uff0c2\u3002<\/p>\n\n\n<p><strong>9. \u5173\u4e8e Inception \u7f51\u7edc\u4e0b\u9762\u54ea\u4e9b\u8bf4\u6cd5\u662f\u6b63\u786e\u7684 <\/strong><\/p>\n\n\n<ol><li> Inception \u7f51\u7edc\u5305\u542b\u4e86\u5404\u79cd\u7f51\u7edc\u7684\u4f53\u7cfb\u7ed3\u6784\uff08\u7c7b\u4f3c\u4e8e\u968f\u673a\u5220\u9664\u8282\u70b9\u6a21\u5f0f\uff0c\u5b83\u4f1a\u5728\u6bcf\u4e00\u6b65\u4e2d\u968f\u673a\u9009\u62e9\u7f51\u7edc\u7684\u7ed3\u6784\uff09\uff0c\u56e0\u6b64\u5b83\u5177\u6709\u968f\u673a\u5220\u9664\u8282\u70b9\u7684\u6b63\u5219\u5316\u6548\u5e94\u3002 <\/li><li> Inception \u5757\u901a\u5e38\u4f7f\u75281&#215;1\u7684\u5377\u79ef\u6765\u51cf\u5c11\u8f93\u5165\u5377\u79ef\u7684\u5927\u5c0f\uff0c\u7136\u540e\u518d\u4f7f\u75283&#215;3\u548c5&#215;5\u7684\u5377\u79ef\u3002 <\/li><li> \u4e00\u4e2ainception \u5757\u5141\u8bb8\u7f51\u7edc\u4f7f\u75281&#215;1, 3&#215;3, 5&#215;5 \u7684\u548c\u5377\u79ef\u4e2a\u6c60\u5316\u5c42\u7684\u7ec4\u5408\u3002 <\/li><li> \u901a\u8fc7\u53e0\u52a0inception\u5757\u7684\u65b9\u5f0f\u8ba9inception \u7f51\u7edc\u66f4\u6df1\u4e0d\u4f1a\u635f\u5bb3\u8bad\u7ec3\u96c6\u7684\u8868\u73b0\u3002 <\/li><\/ol>\n\n\n<p>2\uff0c3\u3002<\/p>\n\n\n<p><strong>10. \u4e0b\u9762\u54ea\u4e9b\u662f\u4f7f\u7528\u5377\u79ef\u7f51\u7edc\u7684\u5f00\u6e90\u5b9e\u73b0\uff08\u5305\u542b\u6a21\u578b\/\u6743\u503c\uff09\u7684\u5e38\u89c1\u539f\u56e0\uff1f<\/strong><\/p>\n\n\n<ol><li>  \u4e3a\u4e00\u4e2a\u8ba1\u7b97\u673a\u89c6\u89c9\u4efb\u52a1\u8bad\u7ec3\u7684\u6a21\u578b\u901a\u5e38\u53ef\u4ee5\u7528\u6765\u6570\u636e\u6269\u5145\uff0c\u5373\u4f7f\u5bf9\u4e8e\u4e0d\u540c\u7684\u8ba1\u7b97\u673a\u89c6\u89c9\u4efb\u52a1\u4e5f\u662f\u5982\u6b64\u3002 <\/li><li> \u4e3a\u4e00\u4e2a\u8ba1\u7b97\u673a\u89c6\u89c9\u4efb\u52a1\u8bad\u7ec3\u7684\u53c2\u6570\u901a\u5e38\u5bf9\u5176\u4ed6\u8ba1\u7b97\u673a\u89c6\u89c9\u4efb\u52a1\u7684\u9884\u8bad\u7ec3\u662f\u6709\u7528\u7684\u3002 <\/li><li> \u4f7f\u7528\u83b7\u5f97\u8ba1\u7b97\u673a\u89c6\u89c9\u7ade\u8d5b\u5956\u9879\u7684\u76f8\u540c\u7684\u6280\u672f\uff0c\u5e7f\u6cdb\u5e94\u7528\u4e8e\u5b9e\u9645\u90e8\u7f72\u3002 <\/li><li> \u4f7f\u7528\u5f00\u6e90\u5b9e\u73b0\u53ef\u4ee5\u5f88\u7b80\u5355\u7684\u6765\u5b9e\u73b0\u590d\u6742\u7684\u5377\u79ef\u7ed3\u6784\u3002 <\/li><\/ol>\n\n\n<p>2\uff0c3\uff0c4\u3002<\/p>\n\n\n<h2 class=\"wp-block-heading\">\u7f16\u7a0b\u4f5c\u4e1a<\/h2>\n\n\n<p> \u8fd9\u4e00\u5468\u7684\u4f5c\u4e1a\u4e3b\u8981\u662fkeras\u5165\u95e8\u548cResNet\u7f51\u7edc\u3002<\/p>\n\n\n<p>\u9996\u5148\u6211\u4eec\u505akeras\u5165\u95e8\uff0c\u601d\u8003\u5982\u4e0b\u60c5\u7eea\u8bc6\u522b\u4efb\u52a1\uff1a<\/p>\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" decoding=\"async\" width=\"960\" height=\"469\" src=\"\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-130.png\" alt=\"\" class=\"wp-image-3305\" srcset=\"http:\/\/www.sniper97.cn\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-130.png 960w, http:\/\/www.sniper97.cn\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-130-300x147.png 300w, http:\/\/www.sniper97.cn\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-130-768x375.png 768w\" sizes=\"(max-width: 960px) 100vw, 960px\" \/><\/figure>\n\n\n<p>\u5728\u5f00\u59cb\u4e4b\u524d\u5efa\u8bae\u5148\u7b80\u5355\u770b\u4e00\u4e0b\u6587\u6863\uff1a<\/p>\n\n\n<ul><li>Conv2D\uff1a<a rel=\"noreferrer noopener\" aria-label=\"\u94fe\u63a5\uff08\u5728\u65b0\u7a97\u53e3\u6253\u5f00\uff09\" href=\"http:\/\/keras-cn.readthedocs.io\/en\/latest\/layers\/convolutional_layer\/#conv2d\" target=\"_blank\">\u94fe\u63a5<\/a><\/li><li>BatchNorm\uff1a<a rel=\"noreferrer noopener\" aria-label=\"\u94fe\u63a5\uff08\u5728\u65b0\u7a97\u53e3\u6253\u5f00\uff09\" href=\"http:\/\/keras-cn.readthedocs.io\/en\/latest\/layers\/normalization_layer\/\" target=\"_blank\">\u94fe\u63a5<\/a><\/li><li>Add\uff1a<a href=\"http:\/\/keras-cn.readthedocs.io\/en\/latest\/layers\/merge\/#add\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\"\u94fe\u63a5\uff08\u5728\u65b0\u7a97\u53e3\u6253\u5f00\uff09\">\u94fe\u63a5<\/a><\/li><\/ul>\n\n\n<p>\u9996\u5148\u662f\u5bfc\u5305\uff1a<\/p>\n\n\n<pre class=\"wp-block-preformatted\">import keras\nfrom course_4_week_2 import kt_utils\nimport keras.backend as K\nK.set_image_data_format('channels_last')<\/pre>\n\n\n<p>\u7136\u540e\u662f\u8bfb\u53d6\u6570\u636e\u548c\u6570\u636e\u6807\u51c6\u5316\uff1a<\/p>\n\n\n<pre class=\"wp-block-preformatted\">X_train_orig, Y_train_orig, X_test_orig, Y_test_orig, classes = kt_utils.load_dataset()<br \/><br \/># \u6807\u51c6\u5316\u6570\u636e<br \/>X_train = X_train_orig \/ 255.<br \/>X_test = X_test_orig \/ 255.<br \/><br \/># reshape<br \/>Y_train = Y_train_orig.T<br \/>Y_test = Y_test_orig.T<\/pre>\n\n\n<p>\u5b9a\u4e49\u6a21\u578b\uff1a<\/p>\n\n\n<pre class=\"wp-block-preformatted\">def model(input_shape):<br \/>    <em>\"\"\"<br \/><\/em><em>    <\/em><em>\u603b\u4f53\u6a21\u578b<br \/><\/em><em>    <\/em><strong><em>:param<\/em><\/strong><em> input_shape:<br \/><\/em><em>    <\/em><strong><em>:return<\/em><\/strong><em>:<br \/><\/em><em>    \"\"\"<br \/><\/em><em>    <\/em># \u5b9a\u4e49\u8f93\u51fa\u7684placeholder<br \/>    X_input = keras.layers.Input(input_shape)<br \/><br \/>    # \u75280\u586b\u5145<br \/>    X = keras.layers.ZeroPadding2D((3, 3))(X_input)<br \/><br \/>    # CONV -&gt; BN -&gt; RELU<br \/>    X = keras.layers.Conv2D(32, (7, 7), strides=(1, 1), name='conv0')(X)<br \/>    X = keras.layers.BatchNormalization(axis=3, name='bn0')(X)<br \/>    X = keras.layers.Activation('relu')(X)<br \/><br \/>    # \u6700\u5927\u6c60\u5316\u5c42<br \/>    X = keras.layers.MaxPool2D((2, 2), name='max_pool')(X)<br \/><br \/>    # \u964d\u7ef4\uff0c\u77e9\u9635\u8f6c\u6362\u4e3a\u5411\u91cf+\u5168\u8fde\u63a5<br \/>    X = keras.layers.Flatten()(X)  # \u591a\u7ef4\u7684\u8f93\u5165\u4e00\u7ef4\u5316<br \/>    X = keras.layers.Dense(1, activation='sigmoid', name='fc')(X)  # \u8f93\u51fa\u4e00\u4e2a\u795e\u7ecf\u5143 sigmoid\u6fc0\u6d3b<br \/><br \/>    model = keras.models.Model(inputs=X_input, outputs=X, name='HappyModel')<br \/><br \/>    return model<\/pre>\n\n\n<p>\u521b\u5efa\u5b9e\u4f53\u3001\u8bad\u7ec3\u548c\u6d4b\u8bd5\uff1a<\/p>\n\n\n<pre class=\"wp-block-preformatted\"># \u521b\u5efa\u4e00\u4e2a\u6a21\u578b\u5b9e\u4f53<br \/>happy_model = model(X_train.shape[1:])<br \/># \u7f16\u8bd1\u6a21\u578b<br \/>happy_model.compile('adam', 'binary_crossentropy', metrics=['accuracy'])<br \/># \u8bad\u7ec3\u6a21\u578b<br \/>happy_model.fit(X_train, Y_train, epochs=40, batch_size=50)<br \/># \u8bc4\u4f30\u6a21\u578b<br \/>preds = happy_model.evaluate(X_test, Y_test, batch_size=32, verbose=1, sample_weight=None)  # verbose \u65e5\u5fd7\u7ea7\u522b<br \/># \u4fdd\u5b58\u6a21\u578b<br \/>happy_model.save('happy_model.h5')<br \/>print(\"\u8bef\u5dee\u503c = \" + str(preds[0]))<br \/>print(\"\u51c6\u786e\u5ea6 = \" + str(preds[1]))<\/pre>\n\n\n<p>\u6700\u540e\u8f93\u51fa\uff08\u8282\u9009\uff09\uff1a<\/p>\n\n\n<pre class=\"wp-block-preformatted\">150\/150 [==============================] - 1s 7ms\/step<br \/>\u8bef\u5dee\u503c = 0.1285133997599284<br \/>\u51c6\u786e\u5ea6 = 0.9333333373069763<\/pre>\n\n\n<p>\u7136\u540e\u6211\u4eec\u53ef\u4ee5\u8fdb\u884c\u7b80\u5355\u7684\u6d4b\u8bd5\uff1a<\/p>\n\n\n<pre class=\"wp-block-preformatted\">import keras<br \/>from matplotlib.pyplot import imshow<br \/>import matplotlib.pyplot as plt<br \/>from keras.preprocessing import image<br \/>import numpy as np<br \/><br \/>img = image.load_img('.\/2.png', target_size=(64, 64))<br \/>imshow(img)<br \/>plt.show()<br \/>x = image.img_to_array(img)<br \/>x = np.expand_dims(x, axis=0)<br \/>x = keras.applications.imagenet_utils.preprocess_input(x)<br \/><br \/>happy_model = keras.models.load_model('.\/resnet_model.h5')<br \/>print(happy_model.summary())<br \/>print(happy_model.predict(x))<br \/><\/pre>\n\n\n<p>\u7136\u540e\u53ef\u4ee5\u770b\u5230\u4e0b\u56fe\uff0c\u5e76\u6709\u4e00\u4e2a\u8f93\u51fa\u5411\u91cf\u7684\u8f93\u51fa<\/p>\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter\"><img loading=\"lazy\" decoding=\"async\" width=\"386\" height=\"380\" src=\"\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-129.png\" alt=\"\" class=\"wp-image-3301\" srcset=\"http:\/\/www.sniper97.cn\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-129.png 386w, http:\/\/www.sniper97.cn\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-129-300x295.png 300w\" sizes=\"(max-width: 386px) 100vw, 386px\" \/><\/figure><\/div>\n\n\n<p>\u7136\u540e\u662f\u6b8b\u5dee\u7f51\u7edcResNet\u3002<\/p>\n\n\n<p>\u9996\u5148\u5bfc\u5305\uff1a<\/p>\n\n\n<pre class=\"wp-block-preformatted\">import keras\nfrom keras.models import Model\nfrom keras.initializers import glorot_uniform\nfrom course_4_week_2 import resnets_utils\nimport keras.backend as K\nK.set_image_data_format('channels_last')\nK.set_learning_phase(1)<\/pre>\n\n\n<p>\u6211\u4eec\u5148\u5b9e\u73b0\u4e00\u4e2a\u6700\u5c0f\u7684\u6b8b\u5dee\u5757\uff1a<\/p>\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter\"><img loading=\"lazy\" decoding=\"async\" width=\"1000\" height=\"212\" src=\"\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-131.png\" alt=\"\" class=\"wp-image-3306\" srcset=\"http:\/\/www.sniper97.cn\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-131.png 1000w, http:\/\/www.sniper97.cn\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-131-300x64.png 300w, http:\/\/www.sniper97.cn\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-131-768x163.png 768w\" sizes=\"(max-width: 1000px) 100vw, 1000px\" \/><\/figure><\/div>\n\n\n<pre class=\"wp-block-preformatted\">def identity_block(X, f, filters, stage, block):<br \/>    <em>\"\"\"<br \/><\/em><em>    <\/em><em>\u5b9e\u73b0\u6700\u5c0f\u6a21\u5757<br \/><\/em><em>    <\/em><strong><em>:param<\/em><\/strong><em> X: <\/em><em>\u8f93\u5165\u6570\u636e<br \/><\/em><em>    <\/em><strong><em>:param<\/em><\/strong><em> f: CONV<\/em><em>\u7a97\u53e3\u7ef4\u5ea6<br \/><\/em><em>    <\/em><strong><em>:param<\/em><\/strong><em> filters: <\/em><em>\u6bcf\u5c42\u8fc7\u6ee4\u5668\u6570\u91cf<br \/><\/em><em>    <\/em><strong><em>:param<\/em><\/strong><em> stage: <\/em><em>\u5c42\u6570\uff08\u7528\u6765\u547d\u540d\uff09<br \/><\/em><em>    <\/em><strong><em>:param<\/em><\/strong><em> block: <\/em><em>\u5b57\u7b26\u4e32\uff0c\u7528\u6765\u547d\u540d<br \/><\/em><em>    <\/em><strong><em>:return<\/em><\/strong><em>:<br \/><\/em><em>    \"\"\"<br \/><\/em><em>    <\/em># \u5b9a\u4e49\u547d\u540d<br \/>    conv_name_base = 'res' + str(stage) + block + '_branch'<br \/>    bn_name_base = 'bn' + str(stage) + block + '_branch'<br \/><br \/>    # \u83b7\u53d6\u8fc7\u6ee4\u5668\u6570\u91cf<br \/>    F1, F2, F3 = filters<br \/><br \/>    # \u4fdd\u5b58\u8f93\u5165\u6570\u636e\uff0c\u7528\u4e8e\u6377\u5f84<br \/>    X_shortcut = X<br \/><br \/>    # \u7b2c\u4e00\u90e8\u5206<br \/>    # \u5377\u79ef\u5c42<br \/>    X = keras.layers.Conv2D(filters=F1, kernel_size=(1, 1), strides=(1, 1), padding='valid', name=conv_name_base + '2a',<br \/>                            kernel_initializer=glorot_uniform(seed=0))(X)<br \/><br \/>    # \u5f52\u4e00\u5316<br \/>    X = keras.layers.BatchNormalization(axis=3, name=bn_name_base + '2a')(X)<br \/><br \/>    # \u6fc0\u6d3b<br \/>    X = keras.layers.Activation('relu')(X)<br \/><br \/>    # \u7b2c\u4e8c\u90e8\u5206<br \/>    X = keras.layers.Conv2D(filters=F2, kernel_size=(f, f), strides=(1, 1), padding='same', name=conv_name_base + '2b',<br \/>                            kernel_initializer=glorot_uniform(seed=0))(X)<br \/>    X = keras.layers.BatchNormalization(axis=3, name=bn_name_base + '2b')(X)<br \/>    X = keras.layers.Activation('relu')(X)<br \/><br \/>    # \u7b2c\u4e09\u90e8\u5206<br \/>    X = keras.layers.Conv2D(filters=F3, kernel_size=(1, 1), strides=(1, 1), padding='valid', name=conv_name_base + '2c',<br \/>                            kernel_initializer=glorot_uniform(seed=0))(X)<br \/>    X = keras.layers.BatchNormalization(axis=3, name=bn_name_base + '2c')(X)<br \/>    X = keras.layers.Activation('relu')(X)<br \/><br \/>    # \u5c06\u6377\u5f84\u52a0\u8fdb\u6765<br \/>    X = keras.layers.Add()([X, X_shortcut])<br \/>    X = keras.layers.Activation('relu')(X)<br \/><br \/>    return X<\/pre>\n\n\n<p>\u5bf9\u4e8e\u4ecex\u7ecf\u8fc7\u51e0\u6b21\u5377\u79ef\u540e\u7ef4\u5ea6\u53d1\u751f\u53d8\u5316\u7684\u60c5\u51b5\uff0c\u6211\u4eec\u5728\u6377\u5f84\u4e2d\u7ee7\u7eed\u6dfb\u52a0\u4e00\u4e2a\u5377\u79ef\u5c42\uff0c\u6765\u9002\u914dx\u548c\u6700\u540e\u8f93\u51fa\u7ef4\u5ea6\u4e0d\u540c\u7684\u95ee\u9898\u3002<\/p>\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"216\" src=\"\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-132-1024x216.png\" alt=\"\" class=\"wp-image-3307\" srcset=\"http:\/\/www.sniper97.cn\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-132-1024x216.png 1024w, http:\/\/www.sniper97.cn\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-132-300x63.png 300w, http:\/\/www.sniper97.cn\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-132-768x162.png 768w, http:\/\/www.sniper97.cn\/wp-content\/uploads\/2020\/03\/\u56fe\u7247-132.png 1037w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure><\/div>\n\n\n<pre class=\"wp-block-preformatted\">def convolutional_block(X, f, filters, stage, block, s=2):<br \/>    <em>\"\"\"<br \/><\/em><em>    <\/em><em>\u5377\u79ef\u5757<br \/><\/em><em>    <\/em><strong><em>:param<\/em><\/strong><em> X:<br \/><\/em><em>    <\/em><strong><em>:param<\/em><\/strong><em> f:<br \/><\/em><em>    <\/em><strong><em>:param<\/em><\/strong><em> fliters:<br \/><\/em><em>    <\/em><strong><em>:param<\/em><\/strong><em> stage:<br \/><\/em><em>    <\/em><strong><em>:param<\/em><\/strong><em> block:<br \/><\/em><em>    <\/em><strong><em>:param<\/em><\/strong><em> s:<br \/><\/em><em>    <\/em><strong><em>:return<\/em><\/strong><em>:<br \/><\/em><em>    \"\"\"<br \/><\/em><em>    <\/em># \u5b9a\u4e49\u547d\u540d\u89c4\u5219<br \/>    conv_name_base = 'res' + str(stage) + block + '_branch'<br \/>    bn_name_base = 'bn' + str(stage) + block + '_branch'<br \/><br \/>    # \u83b7\u53d6\u8fc7\u6ee4\u5668\u6570\u91cf<br \/>    F1, F2, F3 = filters<br \/><br \/>    # \u4fdd\u5b58\u8f93\u5165\u6570\u636e<br \/>    X_shortcut = X<br \/><br \/>    # \u7b2c\u4e00\u90e8\u5206<br \/>    # \u5377\u79ef\u5c42<br \/>    X = keras.layers.Conv2D(filters=F1, kernel_size=(1, 1), strides=(s, s), padding='valid', name=conv_name_base + '2a',<br \/>                            kernel_initializer=glorot_uniform(seed=0))(X)<br \/>    X = keras.layers.BatchNormalization(axis=3, name=bn_name_base + '2a')(X)<br \/>    X = keras.layers.Activation('relu')(X)<br \/><br \/>    # \u7b2c\u4e8c\u90e8\u5206<br \/>    X = keras.layers.Conv2D(filters=F2, kernel_size=(f, f), strides=(1, 1), padding='same', name=conv_name_base + '2b',<br \/>                            kernel_initializer=glorot_uniform(seed=0))(X)<br \/>    X = keras.layers.BatchNormalization(axis=3, name=bn_name_base + '2b')(X)<br \/>    X = keras.layers.Activation('relu')(X)<br \/><br \/>    # \u7b2c\u4e09\u90e8\u5206<br \/>    X = keras.layers.Conv2D(filters=F3, kernel_size=(1, 1), strides=(1, 1), padding='valid', name=conv_name_base + '2c',<br \/>                            kernel_initializer=glorot_uniform(seed=0))(X)<br \/>    X = keras.layers.BatchNormalization(axis=3, name=bn_name_base + '2c')(X)<br \/>    X = keras.layers.Activation('relu')(X)<br \/><br \/>    # \u6377\u5f84<br \/>    X_shortcut = keras.layers.Conv2D(filters=F3, kernel_size=(1, 1), strides=(s, s), padding='valid',<br \/>                                     name=conv_name_base + '1', kernel_initializer=glorot_uniform(seed=0))(X_shortcut)<br \/>    X_shortcut = keras.layers.BatchNormalization(axis=3, name=bn_name_base + '1')(X_shortcut)<br \/><br \/>    X = keras.layers.Add()([X, X_shortcut])<br \/>    X = keras.layers.Activation('relu')(X)<br \/><br \/>    return X<\/pre>\n\n\n<p>\u7136\u540e\u5c31\u5230\u4e86\u6784\u5efa\u6a21\u578b\u4e3b\u4f53\uff0c\u5728\u8fd9\u91cc\u6211\u4eec\u5b9a\u4e49\u4e86\u4e00\u4e2a50\u5c42\u7684\u795e\u7ecf\u7f51\u7edc\uff0816\u4e2a\u6b8b\u5dee\u5757\uff0c\u4e00\u4e2a\u5168\u8fde\u63a5\u5c42\u4e00\u4e2a\u8f93\u51fa\u5c42\uff09\uff1a<\/p>\n\n\n<pre class=\"wp-block-preformatted\">def ResNet50(input_shape=(64, 64, 3), classes=6):<br \/>    <em>\"\"\"<br \/><\/em><em>    50<\/em><em>\u5c42\u7684<\/em><em>ResNet<br \/><\/em><em>    <\/em><strong><em>:param<\/em><\/strong><em> input_shape:<br \/><\/em><em>    <\/em><strong><em>:param<\/em><\/strong><em> classes:<br \/><\/em><em>    <\/em><strong><em>:return<\/em><\/strong><em>:<br \/><\/em><em>    \"\"\"<br \/><\/em><em>    <\/em># \u8f93\u5165tensor<br \/>    X_input = keras.layers.Input(input_shape)<br \/><br \/>    # padding<br \/>    X = keras.layers.ZeroPadding2D((3, 3))(X_input)<br \/><br \/>    # stage1<br \/>    X = keras.layers.Conv2D(filters=64, kernel_size=(7, 7), strides=(2, 2), name='conv1',<br \/>                            kernel_initializer=glorot_uniform(seed=0))(X)<br \/>    X = keras.layers.BatchNormalization(axis=3, name='bn_conv1')(X)<br \/>    X = keras.layers.Activation('relu')(X)<br \/>    X = keras.layers.MaxPooling2D(pool_size=(3, 3), strides=(2, 2))(X)<br \/><br \/>    # stage2<br \/>    X = convolutional_block(X, f=3, filters=[64, 64, 256], stage=2, block=\"a\", s=1)<br \/>    X = identity_block(X, f=3, filters=[64, 64, 256], stage=2, block=\"b\")<br \/>    X = identity_block(X, f=3, filters=[64, 64, 256], stage=2, block=\"c\")<br \/><br \/>    # stage3<br \/>    X = convolutional_block(X, f=3, filters=[128, 128, 512], stage=3, block=\"a\", s=2)<br \/>    X = identity_block(X, f=3, filters=[128, 128, 512], stage=3, block=\"b\")<br \/>    X = identity_block(X, f=3, filters=[128, 128, 512], stage=3, block=\"c\")<br \/>    X = identity_block(X, f=3, filters=[128, 128, 512], stage=3, block=\"d\")<br \/><br \/>    # stage4<br \/>    X = convolutional_block(X, f=3, filters=[256, 256, 1024], stage=4, block=\"a\", s=2)<br \/>    X = identity_block(X, f=3, filters=[256, 256, 1024], stage=4, block=\"b\")<br \/>    X = identity_block(X, f=3, filters=[256, 256, 1024], stage=4, block=\"c\")<br \/>    X = identity_block(X, f=3, filters=[256, 256, 1024], stage=4, block=\"d\")<br \/>    X = identity_block(X, f=3, filters=[256, 256, 1024], stage=4, block=\"e\")<br \/>    X = identity_block(X, f=3, filters=[256, 256, 1024], stage=4, block=\"f\")<br \/><br \/>    # stage5<br \/>    X = convolutional_block(X, f=3, filters=[512, 512, 2048], stage=5, block=\"a\", s=2)<br \/>    X = identity_block(X, f=3, filters=[512, 512, 2048], stage=5, block=\"b\")<br \/>    X = identity_block(X, f=3, filters=[512, 512, 2048], stage=5, block=\"c\")<br \/><br \/>    # \u5747\u503c\u6c60\u5316\u5c42<br \/>    X = keras.layers.AveragePooling2D(pool_size=(2, 2), padding=\"same\")(X)<br \/><br \/>    # \u8f93\u51fa\u5c42<br \/>    X = keras.layers.Flatten()(X)  # \u591a\u7ef4\u7684\u8f93\u5165\u4e00\u7ef4\u5316<br \/>    X = keras.layers.Dense(classes, activation=\"softmax\", name=\"fc\" + str(classes),<br \/>                           kernel_initializer=glorot_uniform(seed=0))(X)<br \/><br \/>    # \u521b\u5efa\u6a21\u578b<br \/>    model = Model(inputs=X_input, outputs=X, name=\"ResNet50\")<br \/><br \/>    return model<\/pre>\n\n\n<p>\u6700\u540e\u5c31\u662f\u6a21\u578b\u7684\u521d\u59cb\u5316\u3001\u8bad\u7ec3\u4ee5\u53ca\u6d4b\u8bd5\uff1a<\/p>\n\n\n<pre class=\"wp-block-preformatted\">model = ResNet50(input_shape=(64, 64, 3), classes=6)<br \/>model.compile(optimizer='adam', loss='categorical_crossentropy', metrics=['accuracy'])<br \/><br \/>X_train_orig, Y_train_orig, X_test_orig, Y_test_orig, classes = resnets_utils.load_dataset()<br \/><br \/># \u6807\u51c6\u5316<br \/>X_train = X_train_orig \/ 255<br \/>X_test = X_test_orig \/ 255<br \/><br \/>Y_train = resnets_utils.convert_to_one_hot(Y_train_orig, 6).T<br \/>Y_test = resnets_utils.convert_to_one_hot(Y_test_orig, 6).T<br \/><br \/>model.fit(X_train, Y_train, epochs=2, batch_size=32)<br \/>preds = model.evaluate(X_test, Y_test, batch_size=32, verbose=1, sample_weight=None)  # verbose \u65e5\u5fd7\u7ea7\u522b<br \/># \u4fdd\u5b58\u6a21\u578b<br \/>model.save('resnet_model.h5')<br \/>print(\"\u8bef\u5dee\u503c = \" + str(preds[0]))<br \/>print(\"\u51c6\u786e\u5ea6 = \" + str(preds[1]))<\/pre>\n\n\n<p>\u56e0\u4e3a\u6211\u4eec\u53ea\u8bad\u7ec3\u4e862\u6279\u6b21\uff0c\u6240\u4ee5\u51c6\u786e\u5ea6\u76f8\u5bf9\u6bd4\u8f83\u4f4e\uff0c\u8f93\u51fa\uff08\u8282\u9009\uff09\uff1a<\/p>\n\n\n<pre class=\"wp-block-preformatted\"> 32\/120 [=======&gt;......................] - ETA: 4s<br \/> 64\/120 [===============&gt;..............] - ETA: 2s<br \/> 96\/120 [=======================&gt;......] - ETA: 0s<br \/>120\/120 [==============================] - 4s 37ms\/step<br \/>\u8bef\u5dee\u503c = 0.6602797726790111<br \/>\u51c6\u786e\u5ea6 = 0.7666666666666667<\/pre>\n\n\n<p>\u5bf9\u4e8e\u6d4b\u8bd5\uff0c\u548c\u4e0a\u9762\u7684\u5377\u53ca\u7f51\u7edc\u6d4b\u8bd5\u5982\u51fa\u4e00\u8f99\uff0c\u4e0d\u5f97\u4e0d\u8bf4keras\u7684\u6d4b\u8bd5\u8fd8\u662f\u4eba\u6027\u5316\u4e86\u4e0d\u5c11\uff1a<\/p>\n\n\n<pre class=\"wp-block-preformatted\">import keras\nfrom matplotlib.pyplot import imshow\nimport matplotlib.pyplot as plt\nfrom keras.preprocessing import image\nimport numpy as np\nimg = image.load_img('.\/2.png', target_size=(64, 64))\nimshow(img)\nplt.show()\nx = image.img_to_array(img)\nx = np.expand_dims(x, axis=0)\nx = keras.applications.imagenet_utils.preprocess_input(x)\nmodel = keras.models.load_model('.\/resnet_model.h5')\nprint(model.summary())\nprint(model.predict(x))\n<\/pre>\n","protected":false},"excerpt":{"rendered":"<p>\u5434\u6069\u8fbe\u6df1\u5ea6\u5b66\u4e60\u7b2c\u56db\u8bfe\u7b2c\u4e8c\u5468\uff1a\u6df1\u5ea6\u5377\u79ef\u7f51\u7edc\uff1a\u5b9e\u4f8b\u63a2\u7a76 \u6ce8\uff1a\u6240\u6709\u4ee3\u7801\u5747\u53ef\u5728github\u83b7\u5f97\u5b8c\u6574\u6587\u4ef6\u3002 1 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_mi_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[7],"tags":[],"views":8756,"_links":{"self":[{"href":"http:\/\/www.sniper97.cn\/index.php\/wp-json\/wp\/v2\/posts\/3271"}],"collection":[{"href":"http:\/\/www.sniper97.cn\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.sniper97.cn\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.sniper97.cn\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/www.sniper97.cn\/index.php\/wp-json\/wp\/v2\/comments?post=3271"}],"version-history":[{"count":0,"href":"http:\/\/www.sniper97.cn\/index.php\/wp-json\/wp\/v2\/posts\/3271\/revisions"}],"wp:attachment":[{"href":"http:\/\/www.sniper97.cn\/index.php\/wp-json\/wp\/v2\/media?parent=3271"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.sniper97.cn\/index.php\/wp-json\/wp\/v2\/categories?post=3271"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.sniper97.cn\/index.php\/wp-json\/wp\/v2\/tags?post=3271"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}