{"id":476437,"date":"2023-08-09T07:29:55","date_gmt":"2023-08-09T07:29:55","guid":{"rendered":""},"modified":"2023-09-05T11:12:44","modified_gmt":"2023-09-05T11:12:44","slug":"convolutional-neural-networks-cnn","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/jp\/wiki\/convolutional-neural-networks-cnn\/","title":{"rendered":"\u7573\u307f\u8fbc\u307f\u30cb\u30e5\u30fc\u30e9\u30eb \u30cd\u30c3\u30c8\u30ef\u30fc\u30af (CNN)"},"content":{"rendered":"<p>\u7573\u307f\u8fbc\u307f\u30cb\u30e5\u30fc\u30e9\u30eb \u30cd\u30c3\u30c8\u30ef\u30fc\u30af (CNN) \u306f\u3001\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30fc \u30d3\u30b8\u30e7\u30f3\u3068\u753b\u50cf\u51e6\u7406\u306e\u5206\u91ce\u306b\u9769\u547d\u3092\u3082\u305f\u3089\u3057\u305f\u6df1\u5c64\u5b66\u7fd2\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u4e00\u7a2e\u3067\u3059\u3002\u3053\u308c\u3089\u306f\u3001\u8996\u899a\u30c7\u30fc\u30bf\u3092\u51e6\u7406\u304a\u3088\u3073\u8a8d\u8b58\u3059\u308b\u3088\u3046\u306b\u8a2d\u8a08\u3055\u308c\u305f\u7279\u6b8a\u306a\u30bf\u30a4\u30d7\u306e\u4eba\u5de5\u30cb\u30e5\u30fc\u30e9\u30eb \u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3067\u3042\u308a\u3001\u753b\u50cf\u5206\u985e\u3001\u7269\u4f53\u691c\u51fa\u3001\u753b\u50cf\u751f\u6210\u306a\u3069\u306e\u30bf\u30b9\u30af\u306b\u304a\u3044\u3066\u975e\u5e38\u306b\u52b9\u679c\u7684\u3067\u3059\u3002 CNN \u306e\u80cc\u5f8c\u306b\u3042\u308b\u4e2d\u5fc3\u7684\u306a\u30a2\u30a4\u30c7\u30a2\u306f\u3001\u4eba\u9593\u306e\u8133\u306e\u8996\u899a\u51e6\u7406\u3092\u6a21\u5023\u3057\u3001\u753b\u50cf\u304b\u3089\u968e\u5c64\u30d1\u30bf\u30fc\u30f3\u3068\u7279\u5fb4\u3092\u81ea\u52d5\u7684\u306b\u5b66\u7fd2\u3057\u3066\u62bd\u51fa\u3067\u304d\u308b\u3088\u3046\u306b\u3059\u308b\u3053\u3068\u3067\u3059\u3002<\/p>\n<h2>\u7573\u307f\u8fbc\u307f\u30cb\u30e5\u30fc\u30e9\u30eb \u30cd\u30c3\u30c8\u30ef\u30fc\u30af (CNN) \u306e\u8d77\u6e90\u306e\u6b74\u53f2<\/h2>\n<p>CNN \u306e\u6b74\u53f2\u306f\u3001\u30d1\u30fc\u30bb\u30d7\u30c8\u30ed\u30f3\u3068\u3057\u3066\u77e5\u3089\u308c\u308b\u6700\u521d\u306e\u4eba\u5de5\u30cb\u30e5\u30fc\u30e9\u30eb \u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u304c\u958b\u767a\u3055\u308c\u305f 1960 \u5e74\u4ee3\u306b\u9061\u308a\u307e\u3059\u3002\u305f\u3060\u3057\u3001CNN \u306e\u57fa\u790e\u3092\u5f62\u6210\u3059\u308b\u7573\u307f\u8fbc\u307f\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u6982\u5ff5\u306f 1980 \u5e74\u4ee3\u306b\u5c0e\u5165\u3055\u308c\u307e\u3057\u305f\u3002 1989 \u5e74\u306b\u3001Yann LeCun \u306f\u4ed6\u306e\u4eba\u3005\u3068\u3068\u3082\u306b LeNet-5 \u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u3092\u63d0\u6848\u3057\u307e\u3057\u305f\u3002\u3053\u308c\u306f\u3001CNN \u306e\u6700\u3082\u521d\u671f\u306b\u6210\u529f\u3057\u305f\u5b9f\u88c5\u306e 1 \u3064\u3067\u3059\u3002\u3053\u306e\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306f\u4e3b\u306b\u624b\u66f8\u304d\u306e\u6570\u5b57\u8a8d\u8b58\u306b\u4f7f\u7528\u3055\u308c\u3001\u5c06\u6765\u306e\u753b\u50cf\u51e6\u7406\u306e\u9032\u6b69\u306e\u57fa\u790e\u3092\u7bc9\u304d\u307e\u3057\u305f\u3002<\/p>\n<h2>\u7573\u307f\u8fbc\u307f\u30cb\u30e5\u30fc\u30e9\u30eb \u30cd\u30c3\u30c8\u30ef\u30fc\u30af (CNN) \u306b\u95a2\u3059\u308b\u8a73\u7d30\u60c5\u5831<\/h2>\n<p>CNN \u306f\u3001\u4eba\u9593\u306e\u8996\u899a\u7cfb\u3001\u7279\u306b\u8996\u899a\u91ce\u306e\u7d44\u7e54\u304b\u3089\u30a4\u30f3\u30b9\u30d4\u30ec\u30fc\u30b7\u30e7\u30f3\u3092\u5f97\u3066\u3044\u307e\u3059\u3002\u3053\u308c\u3089\u306f\u8907\u6570\u306e\u30ec\u30a4\u30e4\u30fc\u3067\u69cb\u6210\u3055\u308c\u3066\u304a\u308a\u3001\u305d\u308c\u305e\u308c\u304c\u5165\u529b\u30c7\u30fc\u30bf\u306b\u5bfe\u3057\u3066\u7279\u5b9a\u306e\u64cd\u4f5c\u3092\u5b9f\u884c\u3059\u308b\u3088\u3046\u306b\u8a2d\u8a08\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u4e00\u822c\u7684\u306a CNN \u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u306e\u4e3b\u8981\u306a\u5c64\u306f\u6b21\u306e\u3068\u304a\u308a\u3067\u3059\u3002<\/p>\n<ol>\n<li>\n<p><strong>\u5165\u529b\u30ec\u30a4\u30e4\u30fc:<\/strong> \u3053\u306e\u5c64\u306f\u3001\u751f\u306e\u753b\u50cf\u30c7\u30fc\u30bf\u3092\u5165\u529b\u3068\u3057\u3066\u53d7\u3051\u53d6\u308a\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u7573\u307f\u8fbc\u307f\u5c64:<\/strong> \u7573\u307f\u8fbc\u307f\u5c64\u306f CNN \u306e\u5fc3\u81d3\u90e8\u3067\u3059\u3002\u7573\u307f\u8fbc\u307f\u5c64\u306f\u8907\u6570\u306e\u30d5\u30a3\u30eb\u30bf\u30fc (\u30ab\u30fc\u30cd\u30eb\u3068\u3082\u547c\u3070\u308c\u307e\u3059) \u3067\u69cb\u6210\u3055\u308c\u3001\u5165\u529b\u753b\u50cf\u4e0a\u3092\u30b9\u30e9\u30a4\u30c9\u3057\u3066\u7573\u307f\u8fbc\u307f\u306b\u3088\u3063\u3066\u30ed\u30fc\u30ab\u30eb\u306a\u7279\u5fb4\u3092\u62bd\u51fa\u3057\u307e\u3059\u3002\u5404\u30d5\u30a3\u30eb\u30bf\u30fc\u306f\u3001\u30a8\u30c3\u30b8\u3084\u30c6\u30af\u30b9\u30c1\u30e3\u306a\u3069\u306e\u7279\u5b9a\u306e\u30d1\u30bf\u30fc\u30f3\u3092\u691c\u51fa\u3059\u308b\u5f79\u5272\u3092\u62c5\u3044\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u30a2\u30af\u30c6\u30a3\u30d9\u30fc\u30b7\u30e7\u30f3\u6a5f\u80fd:<\/strong> \u7573\u307f\u8fbc\u307f\u6f14\u7b97\u306e\u5f8c\u3001\u6d3b\u6027\u5316\u95a2\u6570 (\u4e00\u822c\u306b ReLU \u2013 Rectified Linear Unit) \u304c\u8981\u7d20\u3054\u3068\u306b\u9069\u7528\u3055\u308c\u3066\u3001\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306b\u975e\u7dda\u5f62\u6027\u304c\u5c0e\u5165\u3055\u308c\u3001\u3088\u308a\u8907\u96d1\u306a\u30d1\u30bf\u30fc\u30f3\u3092\u5b66\u7fd2\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u30d7\u30fc\u30ea\u30f3\u30b0\u5c64:<\/strong> \u30d7\u30fc\u30ea\u30f3\u30b0\u5c64 (\u901a\u5e38\u306f max-pooling) \u306f\u3001\u91cd\u8981\u306a\u60c5\u5831\u3092\u4fdd\u6301\u3057\u306a\u304c\u3089\u30c7\u30fc\u30bf\u306e\u7a7a\u9593\u6b21\u5143\u3092\u524a\u6e1b\u3057\u3001\u8a08\u7b97\u306e\u8907\u96d1\u3055\u3092\u8efd\u6e1b\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3055\u308c\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u5b8c\u5168\u306b\u63a5\u7d9a\u3055\u308c\u305f\u5c64:<\/strong> \u3053\u308c\u3089\u306e\u5c64\u306f\u3001\u524d\u306e\u5c64\u306e\u3059\u3079\u3066\u306e\u30cb\u30e5\u30fc\u30ed\u30f3\u3092\u73fe\u5728\u306e\u5c64\u306e\u3059\u3079\u3066\u306e\u30cb\u30e5\u30fc\u30ed\u30f3\u306b\u63a5\u7d9a\u3057\u307e\u3059\u3002\u5f7c\u3089\u306f\u5b66\u7fd2\u3057\u305f\u7279\u5fb4\u3092\u96c6\u7d04\u3057\u3001\u5206\u985e\u3084\u305d\u306e\u4ed6\u306e\u30bf\u30b9\u30af\u306e\u6700\u7d42\u6c7a\u5b9a\u3092\u884c\u3044\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u51fa\u529b\u5c64:<\/strong> \u6700\u5f8c\u306e\u5c64\u306f\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u51fa\u529b\u3092\u751f\u6210\u3057\u307e\u3059\u3002\u3053\u308c\u306f\u3001\u753b\u50cf\u5206\u985e\u306e\u305f\u3081\u306e\u30af\u30e9\u30b9 \u30e9\u30d9\u30eb\u3084\u753b\u50cf\u751f\u6210\u306e\u305f\u3081\u306e\u30d1\u30e9\u30e1\u30fc\u30bf\u306e\u30bb\u30c3\u30c8\u3067\u3042\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n<h2>\u7573\u307f\u8fbc\u307f\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af (CNN) \u306e\u5185\u90e8\u69cb\u9020<\/h2>\n<p>CNN \u306e\u5185\u90e8\u69cb\u9020\u306f\u30d5\u30a3\u30fc\u30c9\u30d5\u30a9\u30ef\u30fc\u30c9 \u30e1\u30ab\u30cb\u30ba\u30e0\u306b\u5f93\u3044\u307e\u3059\u3002\u753b\u50cf\u304c\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306b\u5165\u529b\u3055\u308c\u308b\u3068\u3001\u30d0\u30c3\u30af\u30d7\u30ed\u30d1\u30b2\u30fc\u30b7\u30e7\u30f3\u306b\u3088\u308b\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0 \u30d7\u30ed\u30bb\u30b9\u4e2d\u306b\u91cd\u307f\u3068\u30d0\u30a4\u30a2\u30b9\u304c\u8abf\u6574\u3055\u308c\u3001\u5404\u5c64\u3092\u9806\u756a\u306b\u901a\u904e\u3057\u307e\u3059\u3002\u3053\u306e\u53cd\u5fa9\u7684\u306a\u6700\u9069\u5316\u306f\u3001\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u304c\u753b\u50cf\u5185\u306e\u3055\u307e\u3056\u307e\u306a\u7279\u5fb4\u3084\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u3092\u8a8d\u8b58\u3057\u3066\u533a\u5225\u3059\u308b\u3053\u3068\u3092\u5b66\u7fd2\u3059\u308b\u306e\u306b\u5f79\u7acb\u3061\u307e\u3059\u3002<\/p>\n<h2>\u7573\u307f\u8fbc\u307f\u30cb\u30e5\u30fc\u30e9\u30eb \u30cd\u30c3\u30c8\u30ef\u30fc\u30af (CNN) \u306e\u4e3b\u8981\u306a\u6a5f\u80fd\u306e\u5206\u6790<\/h2>\n<p>CNN \u306b\u306f\u3001\u8996\u899a\u7684\u306a\u30c7\u30fc\u30bf\u5206\u6790\u3092\u975e\u5e38\u306b\u52b9\u7387\u7684\u306b\u884c\u3046\u305f\u3081\u306e\u91cd\u8981\u306a\u6a5f\u80fd\u304c\u3044\u304f\u3064\u304b\u3042\u308a\u307e\u3059\u3002<\/p>\n<ol>\n<li>\n<p><strong>\u6a5f\u80fd\u306e\u5b66\u7fd2:<\/strong> CNN \u306f\u751f\u30c7\u30fc\u30bf\u304b\u3089\u968e\u5c64\u7684\u7279\u5fb4\u3092\u81ea\u52d5\u7684\u306b\u5b66\u7fd2\u3059\u308b\u305f\u3081\u3001\u624b\u52d5\u306b\u3088\u308b\u7279\u5fb4\u30a8\u30f3\u30b8\u30cb\u30a2\u30ea\u30f3\u30b0\u306e\u5fc5\u8981\u304c\u306a\u304f\u306a\u308a\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u7ffb\u8a33\u306e\u4e0d\u5909\u6027:<\/strong> \u7573\u307f\u8fbc\u307f\u5c64\u306b\u3088\u308a\u3001CNN \u306f\u753b\u50cf\u5185\u306e\u4f4d\u7f6e\u306b\u95a2\u4fc2\u306a\u304f\u30d1\u30bf\u30fc\u30f3\u3092\u691c\u51fa\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308a\u3001\u5909\u63db\u306e\u4e0d\u5909\u6027\u304c\u5b9f\u73fe\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u30d1\u30e9\u30e1\u30fc\u30bf\u306e\u5171\u6709:<\/strong> \u7a7a\u9593\u7684\u4f4d\u7f6e\u9593\u3067\u91cd\u307f\u3092\u5171\u6709\u3059\u308b\u3068\u30d1\u30e9\u30e1\u30fc\u30bf\u306e\u6570\u304c\u6e1b\u308a\u3001CNN \u304c\u3088\u308a\u52b9\u7387\u7684\u3067\u30b9\u30b1\u30fc\u30e9\u30d6\u30eb\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u7a7a\u9593\u968e\u5c64\u306e\u30d7\u30fc\u30ea\u30f3\u30b0:<\/strong> \u30d7\u30fc\u30ea\u30f3\u30b0\u5c64\u306f\u7a7a\u9593\u6b21\u5143\u3092\u5f90\u3005\u306b\u7e2e\u5c0f\u3057\u3001\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u304c\u3055\u307e\u3056\u307e\u306a\u30b9\u30b1\u30fc\u30eb\u3067\u30d5\u30a3\u30fc\u30c1\u30e3\u3092\u8a8d\u8b58\u3067\u304d\u308b\u3088\u3046\u306b\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u6df1\u3044\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3:<\/strong> CNN \u306f\u8907\u6570\u306e\u5c64\u3092\u5099\u3048\u3001\u8907\u96d1\u3067\u62bd\u8c61\u7684\u306a\u8868\u73fe\u3092\u5b66\u7fd2\u3067\u304d\u308b\u3088\u3046\u306b\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n<h2>\u7573\u307f\u8fbc\u307f\u30cb\u30e5\u30fc\u30e9\u30eb \u30cd\u30c3\u30c8\u30ef\u30fc\u30af (CNN) \u306e\u7a2e\u985e<\/h2>\n<p>CNN \u306b\u306f\u3055\u307e\u3056\u307e\u306a\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u304c\u3042\u308a\u3001\u305d\u308c\u305e\u308c\u304c\u7279\u5b9a\u306e\u30bf\u30b9\u30af\u306b\u5408\u308f\u305b\u3066\u8abf\u6574\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u4e00\u822c\u7684\u306a CNN \u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u306b\u306f\u6b21\u306e\u3088\u3046\u306a\u3082\u306e\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<ol>\n<li>\n<p><strong>LeNet-5:<\/strong> \u521d\u671f\u306e CNN \u306e 1 \u3064\u3067\u3001\u624b\u66f8\u304d\u306e\u6570\u5b57\u8a8d\u8b58\u7528\u306b\u8a2d\u8a08\u3055\u308c\u307e\u3057\u305f\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u30a2\u30ec\u30c3\u30af\u30b9\u30cd\u30c3\u30c8:<\/strong> 2012 \u5e74\u306b\u5c0e\u5165\u3055\u308c\u3001ImageNet Large Scale Visual Recognition Challenge (ILSVRC) \u3067\u512a\u52dd\u3057\u305f\u6700\u521d\u306e\u30c7\u30a3\u30fc\u30d7 CNN \u3067\u3057\u305f\u3002<\/p>\n<\/li>\n<li>\n<p><strong>VGG\u30cd\u30c3\u30c8:<\/strong> \u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u5168\u4f53\u3067 3\u00d73 \u7573\u307f\u8fbc\u307f\u30d5\u30a3\u30eb\u30bf\u30fc\u3092\u6d3b\u7528\u3057\u305f\u3001\u5747\u4e00\u306a\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u306b\u3088\u308b\u30b7\u30f3\u30d7\u30eb\u3055\u3067\u77e5\u3089\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u30ec\u30b9\u30cd\u30c3\u30c8:<\/strong> \u975e\u5e38\u306b\u6df1\u3044\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306b\u304a\u3051\u308b\u52fe\u914d\u6d88\u5931\u306e\u554f\u984c\u306b\u5bfe\u51e6\u3059\u308b\u305f\u3081\u306b\u3001\u30b9\u30ad\u30c3\u30d7\u63a5\u7d9a (\u6b8b\u7559\u30d6\u30ed\u30c3\u30af) \u3092\u5c0e\u5165\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u30a4\u30f3\u30bb\u30d7\u30b7\u30e7\u30f3 (GoogleNet):<\/strong> \u3055\u307e\u3056\u307e\u306a\u30b5\u30a4\u30ba\u306e\u4e26\u5217\u7573\u307f\u8fbc\u307f\u3092\u5099\u3048\u305f\u30a4\u30f3\u30bb\u30d7\u30b7\u30e7\u30f3 \u30e2\u30b8\u30e5\u30fc\u30eb\u3092\u5229\u7528\u3057\u3066\u3001\u30de\u30eb\u30c1\u30b9\u30b1\u30fc\u30eb\u306e\u7279\u5fb4\u3092\u30ad\u30e3\u30d7\u30c1\u30e3\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u30e2\u30d0\u30a4\u30eb\u30cd\u30c3\u30c8:<\/strong> \u30e2\u30d0\u30a4\u30eb\u304a\u3088\u3073\u7d44\u307f\u8fbc\u307f\u30c7\u30d0\u30a4\u30b9\u5411\u3051\u306b\u6700\u9069\u5316\u3055\u308c\u3066\u304a\u308a\u3001\u7cbe\u5ea6\u3068\u8a08\u7b97\u52b9\u7387\u306e\u30d0\u30e9\u30f3\u30b9\u304c\u53d6\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n<p>\u8868: \u4e00\u822c\u7684\u306a CNN \u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u3068\u305d\u306e\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3<\/p>\n<table>\n<thead>\n<tr>\n<th>\u5efa\u7bc9<\/th>\n<th>\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u30eb\u30cd\u30c3\u30c8-5<\/td>\n<td>\u624b\u66f8\u304d\u6570\u5b57\u8a8d\u8b58<\/td>\n<\/tr>\n<tr>\n<td>\u30a2\u30ec\u30c3\u30af\u30b9\u30cd\u30c3\u30c8<\/td>\n<td>\u753b\u50cf\u306e\u5206\u985e<\/td>\n<\/tr>\n<tr>\n<td>VGG\u30cd\u30c3\u30c8<\/td>\n<td>\u7269\u4f53\u8a8d\u8b58<\/td>\n<\/tr>\n<tr>\n<td>\u30ec\u30b9\u30cd\u30c3\u30c8<\/td>\n<td>\u3055\u307e\u3056\u307e\u306a\u30bf\u30b9\u30af\u306b\u304a\u3051\u308b\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0<\/td>\n<\/tr>\n<tr>\n<td>\u30a4\u30f3\u30bb\u30d7\u30b7\u30e7\u30f3<\/td>\n<td>\u753b\u50cf\u8a8d\u8b58\u3068\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3<\/td>\n<\/tr>\n<tr>\n<td>\u30e2\u30d0\u30a4\u30eb\u30cd\u30c3\u30c8<\/td>\n<td>\u30e2\u30d0\u30a4\u30eb\u304a\u3088\u3073\u7d44\u307f\u8fbc\u307f\u30c7\u30d0\u30a4\u30b9\u306e\u30d3\u30b8\u30e7\u30f3<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u7573\u307f\u8fbc\u307f\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\uff08CNN\uff09\u306e\u4f7f\u3044\u65b9\u3001\u554f\u984c\u70b9\u3001\u89e3\u6c7a\u7b56<\/h2>\n<p>CNN \u306e\u7528\u9014\u306f\u5e83\u5927\u3067\u3042\u308a\u3001\u62e1\u5927\u3057\u7d9a\u3051\u3066\u3044\u307e\u3059\u3002\u4e00\u822c\u7684\u306a\u4f7f\u7528\u4f8b\u306b\u306f\u6b21\u306e\u3088\u3046\u306a\u3082\u306e\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<ol>\n<li>\n<p><strong>\u753b\u50cf\u5206\u985e:<\/strong> \u753b\u50cf\u306e\u5185\u5bb9\u306b\u57fa\u3065\u3044\u3066\u30e9\u30d9\u30eb\u3092\u753b\u50cf\u306b\u5272\u308a\u5f53\u3066\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u7269\u4f53\u691c\u51fa:<\/strong> \u753b\u50cf\u5185\u306e\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u3092\u8b58\u5225\u3057\u3066\u4f4d\u7f6e\u3092\u7279\u5b9a\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u30bb\u30de\u30f3\u30c6\u30a3\u30c3\u30af\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3:<\/strong> \u753b\u50cf\u5185\u306e\u5404\u30d4\u30af\u30bb\u30eb\u306b\u30af\u30e9\u30b9 \u30e9\u30d9\u30eb\u3092\u5272\u308a\u5f53\u3066\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u753b\u50cf\u751f\u6210:<\/strong> \u30b9\u30bf\u30a4\u30eb\u8ee2\u9001\u3084 GAN (Generative Adversarial Networks) \u306e\u3088\u3046\u306b\u3001\u30bc\u30ed\u304b\u3089\u65b0\u3057\u3044\u753b\u50cf\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n<p>\u6210\u529f\u306b\u3082\u304b\u304b\u308f\u3089\u305a\u3001CNN \u306f\u6b21\u306e\u3088\u3046\u306a\u8ab2\u984c\u306b\u76f4\u9762\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<ol>\n<li>\n<p><strong>\u904e\u5b66\u7fd2:<\/strong> \u30e2\u30c7\u30eb\u304c\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0 \u30c7\u30fc\u30bf\u3067\u306f\u826f\u597d\u306b\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3059\u308b\u304c\u3001\u76ee\u306b\u898b\u3048\u306a\u3044\u30c7\u30fc\u30bf\u3067\u306f\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u304c\u4f4e\u4e0b\u3059\u308b\u5834\u5408\u306b\u767a\u751f\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u8a08\u7b97\u91cf:<\/strong> Deep CNN \u306f\u5927\u91cf\u306e\u8a08\u7b97\u30ea\u30bd\u30fc\u30b9\u3092\u5fc5\u8981\u3068\u3059\u308b\u305f\u3081\u3001\u7279\u5b9a\u306e\u30c7\u30d0\u30a4\u30b9\u3067\u306e\u4f7f\u7528\u304c\u5236\u9650\u3055\u308c\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n<p>\u3053\u308c\u3089\u306e\u554f\u984c\u306b\u5bfe\u51e6\u3059\u308b\u305f\u3081\u306b\u3001\u30c7\u30fc\u30bf\u62e1\u5f35\u3001\u6b63\u5247\u5316\u3001\u30e2\u30c7\u30eb\u5727\u7e2e\u306a\u3069\u306e\u624b\u6cd5\u304c\u4e00\u822c\u7684\u306b\u4f7f\u7528\u3055\u308c\u307e\u3059\u3002<\/p>\n<h2>\u4e3b\u306a\u7279\u5fb4\u3068\u305d\u306e\u4ed6\u306e\u6bd4\u8f03<\/h2>\n<p>\u8868: CNN \u3068\u5f93\u6765\u306e\u30cb\u30e5\u30fc\u30e9\u30eb \u30cd\u30c3\u30c8\u30ef\u30fc\u30af<\/p>\n<table>\n<thead>\n<tr>\n<th>\u7279\u5fb4<\/th>\n<th>CNN<\/th>\n<th>\u5f93\u6765\u306e NN<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u5165\u529b<\/td>\n<td>\u4e3b\u306b\u30d3\u30b8\u30e5\u30a2\u30eb\u30c7\u30fc\u30bf\u306b\u4f7f\u7528\u3055\u308c\u307e\u3059<\/td>\n<td>\u8868\u5f62\u5f0f\u307e\u305f\u306f\u9806\u6b21\u30c7\u30fc\u30bf\u306b\u9069\u3057\u3066\u3044\u307e\u3059<\/td>\n<\/tr>\n<tr>\n<td>\u5efa\u7bc9<\/td>\n<td>\u968e\u5c64\u30d1\u30bf\u30fc\u30f3\u306b\u7279\u5316\u3057\u305f<\/td>\n<td>\u30b7\u30f3\u30d7\u30eb\u3067\u5bc6\u5ea6\u306e\u9ad8\u3044\u30ec\u30a4\u30e4\u30fc<\/td>\n<\/tr>\n<tr>\n<td>\u7279\u5fb4\u91cf\u30a8\u30f3\u30b8\u30cb\u30a2\u30ea\u30f3\u30b0<\/td>\n<td>\u81ea\u52d5\u7279\u5fb4\u5b66\u7fd2<\/td>\n<td>\u624b\u52d5\u306e\u7279\u5fb4\u91cf\u30a8\u30f3\u30b8\u30cb\u30a2\u30ea\u30f3\u30b0\u304c\u5fc5\u8981<\/td>\n<\/tr>\n<tr>\n<td>\u7ffb\u8a33\u306e\u4e0d\u5909\u6027<\/td>\n<td>\u306f\u3044<\/td>\n<td>\u3044\u3044\u3048<\/td>\n<\/tr>\n<tr>\n<td>\u30d1\u30e9\u30e1\u30fc\u30bf\u306e\u5171\u6709<\/td>\n<td>\u306f\u3044<\/td>\n<td>\u3044\u3044\u3048<\/td>\n<\/tr>\n<tr>\n<td>\u7a7a\u9593\u968e\u5c64<\/td>\n<td>\u30d7\u30fc\u30ea\u30f3\u30b0\u5c64\u3092\u6d3b\u7528\u3059\u308b<\/td>\n<td>\u9069\u7528\u3067\u304d\u306a\u3044<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>CNN\u306b\u95a2\u3059\u308b\u5c55\u671b\u3068\u5c06\u6765\u306e\u6280\u8853<\/h2>\n<p>CNN \u306f\u3059\u3067\u306b\u3055\u307e\u3056\u307e\u306a\u696d\u754c\u3084\u5206\u91ce\u306b\u5927\u304d\u306a\u5f71\u97ff\u3092\u4e0e\u3048\u3066\u3044\u307e\u3059\u304c\u3001\u305d\u306e\u53ef\u80fd\u6027\u306f\u307e\u3060\u5c3d\u304d\u3066\u3044\u307e\u305b\u3093\u3002 CNN \u306b\u95a2\u9023\u3059\u308b\u5c06\u6765\u306e\u5c55\u671b\u3068\u30c6\u30af\u30ce\u30ed\u30b8\u30fc\u306b\u306f\u6b21\u306e\u3088\u3046\u306a\u3082\u306e\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<ol>\n<li>\n<p><strong>\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0 \u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3:<\/strong> \u73fe\u5728\u9032\u884c\u4e2d\u306e\u7814\u7a76\u306f\u3001\u8a08\u7b97\u8981\u4ef6\u3092\u8efd\u6e1b\u3057\u3001\u30ea\u30bd\u30fc\u30b9\u306b\u5236\u7d04\u306e\u3042\u308b\u30c7\u30d0\u30a4\u30b9\u4e0a\u3067\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0 \u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u3092\u53ef\u80fd\u306b\u3059\u308b\u3053\u3068\u306b\u91cd\u70b9\u3092\u7f6e\u3044\u3066\u3044\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u8aac\u660e\u53ef\u80fd\u6027:<\/strong> CNN \u3092\u3088\u308a\u89e3\u91c8\u3057\u3084\u3059\u304f\u3057\u3001\u30e6\u30fc\u30b6\u30fc\u304c\u30e2\u30c7\u30eb\u306e\u6c7a\u5b9a\u3092\u7406\u89e3\u3067\u304d\u308b\u3088\u3046\u306b\u3059\u308b\u53d6\u308a\u7d44\u307f\u304c\u884c\u308f\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u8ee2\u79fb\u5b66\u7fd2:<\/strong> \u4e8b\u524d\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3055\u308c\u305f CNN \u30e2\u30c7\u30eb\u306f\u7279\u5b9a\u306e\u30bf\u30b9\u30af\u306b\u5408\u308f\u305b\u3066\u5fae\u8abf\u6574\u3067\u304d\u308b\u305f\u3081\u3001\u5927\u898f\u6a21\u306a\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0 \u30c7\u30fc\u30bf\u306e\u5fc5\u8981\u6027\u304c\u8efd\u6e1b\u3055\u308c\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u7d99\u7d9a\u7684\u306a\u5b66\u7fd2:<\/strong> \u4ee5\u524d\u306b\u5b66\u7fd2\u3057\u305f\u60c5\u5831\u3092\u5fd8\u308c\u308b\u3053\u3068\u306a\u304f\u3001\u65b0\u3057\u3044\u30c7\u30fc\u30bf\u304b\u3089\u7d99\u7d9a\u7684\u306b\u5b66\u7fd2\u3067\u304d\u308b\u3088\u3046\u306b CNN \u3092\u5f37\u5316\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n<h2>\u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u306e\u4f7f\u7528\u65b9\u6cd5\u3001\u307e\u305f\u306f\u7573\u307f\u8fbc\u307f\u30cb\u30e5\u30fc\u30e9\u30eb \u30cd\u30c3\u30c8\u30ef\u30fc\u30af (CNN) \u3068\u306e\u95a2\u9023\u4ed8\u3051\u65b9\u6cd5<\/h2>\n<p>\u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u306f\u30af\u30e9\u30a4\u30a2\u30f3\u30c8\u3068\u30a4\u30f3\u30bf\u30fc\u30cd\u30c3\u30c8\u306e\u9593\u306e\u4ef2\u4ecb\u8005\u3068\u3057\u3066\u6a5f\u80fd\u3057\u3001\u533f\u540d\u6027\u3001\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u3001\u304a\u3088\u3073\u30ad\u30e3\u30c3\u30b7\u30e5\u6a5f\u80fd\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002 Web \u304b\u3089\u306e\u30c7\u30fc\u30bf\u53d6\u5f97\u304c\u5fc5\u8981\u306a\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u3067 CNN \u3092\u4f7f\u7528\u3059\u308b\u5834\u5408\u3001\u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u306f\u6b21\u306e\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n<ol>\n<li>\n<p><strong>\u30c7\u30fc\u30bf\u53ce\u96c6\uff1a<\/strong> \u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u306f\u3001\u30ea\u30af\u30a8\u30b9\u30c8\u3092\u533f\u540d\u5316\u3057\u3001CNN \u3092\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3059\u308b\u305f\u3081\u306e\u753b\u50cf\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u53ce\u96c6\u3059\u308b\u305f\u3081\u306b\u5229\u7528\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u30d7\u30e9\u30a4\u30d0\u30b7\u30fc\u4fdd\u8b77\uff1a<\/strong> \u30d7\u30ed\u30ad\u30b7\u7d4c\u7531\u3067\u30ea\u30af\u30a8\u30b9\u30c8\u3092\u30eb\u30fc\u30c6\u30a3\u30f3\u30b0\u3059\u308b\u3053\u3068\u3067\u3001\u30e6\u30fc\u30b6\u30fc\u306f\u30e2\u30c7\u30eb\u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u4e2d\u306b\u81ea\u5206\u306e ID \u3068\u6a5f\u5bc6\u60c5\u5831\u3092\u4fdd\u8b77\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u8ca0\u8377\u5206\u6563:<\/strong> \u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u306f\u3001\u53d7\u4fe1\u30c7\u30fc\u30bf \u30ea\u30af\u30a8\u30b9\u30c8\u3092\u8907\u6570\u306e CNN \u30b5\u30fc\u30d0\u30fc\u306b\u5206\u6563\u3057\u3066\u3001\u30ea\u30bd\u30fc\u30b9\u306e\u4f7f\u7528\u7387\u3092\u6700\u9069\u5316\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n<h2>\u95a2\u9023\u30ea\u30f3\u30af<\/h2>\n<p>\u7573\u307f\u8fbc\u307f\u30cb\u30e5\u30fc\u30e9\u30eb \u30cd\u30c3\u30c8\u30ef\u30fc\u30af (CNN) \u306e\u8a73\u7d30\u306b\u3064\u3044\u3066\u306f\u3001\u6b21\u306e\u30ea\u30bd\u30fc\u30b9\u3092\u53c2\u7167\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n<ul>\n<li><a href=\"https:\/\/www.deeplearningbook.org\/contents\/convnets.html\" target=\"_new\" rel=\"noopener nofollow\">\u6df1\u5c64\u5b66\u7fd2\u306e\u672c: \u7b2c 9 \u7ae0 \u2013 \u7573\u307f\u8fbc\u307f\u30cd\u30c3\u30c8\u30ef\u30fc\u30af<\/a><\/li>\n<li><a href=\"http:\/\/cs231n.stanford.edu\/\" target=\"_new\" rel=\"noopener nofollow\">\u30b9\u30bf\u30f3\u30d5\u30a9\u30fc\u30c9 CS231n \u2013 \u8996\u899a\u8a8d\u8b58\u306e\u305f\u3081\u306e\u7573\u307f\u8fbc\u307f\u30cb\u30e5\u30fc\u30e9\u30eb \u30cd\u30c3\u30c8\u30ef\u30fc\u30af<\/a><\/li>\n<li><a href=\"https:\/\/towardsdatascience.com\/introduction-to-convolutional-neural-networks-cnn-with-tensorflow-57e2f4837e18\" target=\"_new\" rel=\"noopener nofollow\">\u30c7\u30fc\u30bf \u30b5\u30a4\u30a8\u30f3\u30b9\u306b\u5411\u3051\u3066 \u2013 \u7573\u307f\u8fbc\u307f\u30cb\u30e5\u30fc\u30e9\u30eb \u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u6982\u8981<\/a><\/li>\n<\/ul>\n<p>\u7573\u307f\u8fbc\u307f\u30cb\u30e5\u30fc\u30e9\u30eb \u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306f\u3001\u8996\u899a\u30c7\u30fc\u30bf\u304b\u3089\u8907\u96d1\u306a\u30d1\u30bf\u30fc\u30f3\u3092\u62bd\u51fa\u3067\u304d\u308b\u305f\u3081\u3001\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30fc \u30d3\u30b8\u30e7\u30f3\u306e\u5206\u91ce\u3092\u9032\u6b69\u3055\u305b\u3001\u4eba\u5de5\u77e5\u80fd\u306e\u9650\u754c\u3092\u62bc\u3057\u5e83\u3052\u7d9a\u3051\u3066\u3044\u307e\u3059\u3002\u30c6\u30af\u30ce\u30ed\u30b8\u30fc\u304c\u9032\u5316\u3057\u3001\u3088\u308a\u5229\u7528\u3057\u3084\u3059\u304f\u306a\u308b\u306b\u3064\u308c\u3066\u3001CNN \u304c\u5e45\u5e83\u3044\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u306b\u7d71\u5408\u3055\u308c\u3001\u3055\u307e\u3056\u307e\u306a\u65b9\u6cd5\u3067\u79c1\u305f\u3061\u306e\u751f\u6d3b\u3092\u5411\u4e0a\u3055\u305b\u308b\u3053\u3068\u304c\u671f\u5f85\u3055\u308c\u307e\u3059\u3002<\/p>","protected":false},"featured_media":468019,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-476437","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Convolutional Neural Networks (CNN)<\/mark>","faq_items":[{"question":"What are Convolutional Neural Networks (CNN)?","answer":"<p>Convolutional Neural Networks (CNN) are a type of deep learning algorithm designed for computer vision tasks, such as image classification, object detection, and image generation. They mimic the human visual system, automatically learning hierarchical patterns and features from images.<\/p>"},{"question":"How do Convolutional Neural Networks (CNN) work?","answer":"<p>CNNs consist of multiple layers, including convolutional layers, activation functions, pooling layers, and fully connected layers. The convolutional layers perform local feature extraction, activation functions introduce non-linearity, pooling layers reduce spatial dimensions, and fully connected layers make final decisions.<\/p>"},{"question":"What are the key features of Convolutional Neural Networks (CNN)?","answer":"<p>CNNs offer feature learning, translation invariance, parameter sharing, and the ability to capture spatial hierarchies. They automatically learn patterns, can detect objects regardless of their position, reduce the number of parameters, and recognize features at different scales.<\/p>"},{"question":"What types of Convolutional Neural Networks (CNN) exist?","answer":"<p>There are various CNN architectures, each tailored for specific tasks. Some popular ones include LeNet-5, AlexNet, VGGNet, ResNet, Inception, and MobileNet.<\/p>"},{"question":"What are the ways to use Convolutional Neural Networks (CNN)?","answer":"<p>CNNs find applications in image classification, object detection, semantic segmentation, and image generation. They can be used for numerous visual data analysis tasks.<\/p>"},{"question":"What problems do Convolutional Neural Networks (CNN) face?","answer":"<p>CNNs may encounter overfitting and require significant computational resources for deep networks. However, solutions such as data augmentation, regularization, and model compression can address these issues.<\/p>"},{"question":"How can proxy servers be associated with Convolutional Neural Networks (CNN)?","answer":"<p>Proxy servers can enhance CNN usage by anonymizing data collection requests, protecting privacy, and load balancing for efficient resource utilization.<\/p>"},{"question":"What is the future outlook for Convolutional Neural Networks (CNN)?","answer":"<p>CNNs continue to advance with real-time applications, improved explainability, transfer learning, and continual learning capabilities. Their potential impact spans across various industries.<\/p>"},{"question":"Where can I find more information about Convolutional Neural Networks (CNN)?","answer":"<p>For more in-depth knowledge, you can explore resources like the \"Deep Learning Book,\" Stanford CS231n, and Towards Data Science articles on CNNs. As a reliable proxy server provider, OneProxy brings you this comprehensive guide to CNNs and their applications.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/wiki\/476437","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/wiki\/476437\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/media\/468019"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/media?parent=476437"}],"curies":[{"name":"\u3046\u30fc\u3093","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}