{"id":477761,"date":"2023-08-09T09:19:52","date_gmt":"2023-08-09T09:19:52","guid":{"rendered":""},"modified":"2023-09-05T11:15:22","modified_gmt":"2023-09-05T11:15:22","slug":"keras","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/jp\/wiki\/keras\/","title":{"rendered":"\u30b1\u30e9\u30b9"},"content":{"rendered":"<p>Keras \u306f\u3001Python \u3067\u66f8\u304b\u308c\u305f\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u306e\u6df1\u5c64\u5b66\u7fd2\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3067\u3059\u3002\u305d\u306e\u4f7f\u3044\u3084\u3059\u3055\u3068\u67d4\u8edf\u6027\u306f\u5e83\u304f\u77e5\u3089\u308c\u3066\u304a\u308a\u3001\u7814\u7a76\u8005\u3001\u958b\u767a\u8005\u3001\u30c7\u30fc\u30bf \u30b5\u30a4\u30a8\u30f3\u30c6\u30a3\u30b9\u30c8\u306e\u9593\u3067\u30cb\u30e5\u30fc\u30e9\u30eb \u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u69cb\u7bc9\u304a\u3088\u3073\u5b9f\u9a13\u3059\u308b\u969b\u306b\u3088\u304f\u9078\u3070\u308c\u3066\u3044\u307e\u3059\u3002 Keras \u306f\u30012015 \u5e74\u306b Fran\u00e7ois Chollet \u306b\u3088\u3063\u3066\u5f53\u521d\u30b9\u30bf\u30f3\u30c9\u30a2\u30ed\u30f3 \u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u3068\u3057\u3066\u958b\u767a\u3055\u308c\u307e\u3057\u305f\u304c\u3001\u5f8c\u306b TensorFlow \u30e9\u30a4\u30d6\u30e9\u30ea\u306b\u7d71\u5408\u3055\u308c\u3001\u516c\u5f0f\u306e\u9ad8\u30ec\u30d9\u30eb API \u306b\u306a\u308a\u307e\u3057\u305f\u3002\u3053\u306e\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3092\u4f7f\u7528\u3059\u308b\u3068\u3001\u30e6\u30fc\u30b6\u30fc\u306f\u6700\u5c0f\u9650\u306e\u52b4\u529b\u3067\u8907\u96d1\u306a\u30cb\u30e5\u30fc\u30e9\u30eb \u30cd\u30c3\u30c8\u30ef\u30fc\u30af \u30e2\u30c7\u30eb\u3092\u5b9a\u7fa9\u3057\u3066\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3067\u304d\u308b\u305f\u3081\u3001\u30c7\u30a3\u30fc\u30d7 \u30e9\u30fc\u30cb\u30f3\u30b0\u306e\u5206\u91ce\u306e\u521d\u5fc3\u8005\u3068\u5c02\u9580\u5bb6\u306e\u4e21\u65b9\u304c\u5229\u7528\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n<h2>Keras \u306e\u8d77\u6e90\u306e\u6b74\u53f2\u3068\u6700\u521d\u306e\u8a00\u53ca<\/h2>\n<p>Keras \u306e\u6b74\u53f2\u306f\u3001Fran\u00e7ois Chollet \u304c\u500b\u4eba\u7684\u306a\u53d6\u308a\u7d44\u307f\u3068\u3057\u3066\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306b\u53d6\u308a\u7d44\u307f\u59cb\u3081\u305f 2010 \u5e74\u4ee3\u521d\u982d\u306b\u9061\u308a\u307e\u3059\u3002\u5f7c\u306e\u4e3b\u306a\u76ee\u6a19\u306f\u3001\u8fc5\u901f\u306a\u5b9f\u9a13\u3068\u30d7\u30ed\u30c8\u30bf\u30a4\u30d4\u30f3\u30b0\u3092\u53ef\u80fd\u306b\u3059\u308b\u3001\u30e6\u30fc\u30b6\u30fc\u30d5\u30ec\u30f3\u30c9\u30ea\u30fc\u306a\u6df1\u5c64\u5b66\u7fd2\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3092\u4f5c\u6210\u3059\u308b\u3053\u3068\u3067\u3057\u305f\u3002 2015 \u5e74 3 \u6708\u3001Fran\u00e7ois \u306f GitHub \u3067 Keras \u3092\u6b63\u5f0f\u306b\u30ea\u30ea\u30fc\u30b9\u3057\u3001\u30c7\u30a3\u30fc\u30d7 \u30e9\u30fc\u30cb\u30f3\u30b0 \u30b3\u30df\u30e5\u30cb\u30c6\u30a3\u304b\u3089\u3059\u3050\u306b\u8a8d\u77e5\u3055\u308c\u3001\u9ad8\u304f\u8a55\u4fa1\u3055\u308c\u307e\u3057\u305f\u3002<\/p>\n<p>Keras \u306b\u3064\u3044\u3066\u6700\u521d\u306b\u8a00\u53ca\u3057\u305f\u3068\u304d\u306f\u3001\u30b7\u30f3\u30d7\u30eb\u3055\u3068\u4f7f\u3044\u3084\u3059\u3055\u3092\u512a\u5148\u3057\u305f\u305d\u306e\u30e6\u30cb\u30fc\u30af\u306a\u30c7\u30b6\u30a4\u30f3\u306b\u3088\u308a\u5927\u304d\u306a\u6ce8\u76ee\u3092\u96c6\u3081\u307e\u3057\u305f\u3002\u6df1\u5c64\u5b66\u7fd2\u306e\u611b\u597d\u5bb6\u3084\u7814\u7a76\u8005\u306f\u3001\u4f4e\u30ec\u30d9\u30eb\u306e\u8a73\u7d30\u306e\u8907\u96d1\u3055\u306b\u8ff7\u3046\u3053\u3068\u306a\u304f\u3001\u9769\u65b0\u7684\u306a\u30e2\u30c7\u30eb\u306e\u69cb\u7bc9\u306b\u96c6\u4e2d\u3067\u304d\u308b\u76f4\u611f\u7684\u306a API \u306b\u8208\u5473\u3092\u305d\u305d\u3089\u308c\u307e\u3057\u305f\u3002<\/p>\n<h2>Keras \u306e\u8a73\u7d30\u60c5\u5831\u3002 Keras \u306e\u30c8\u30d4\u30c3\u30af\u3092\u62e1\u5f35\u3059\u308b<\/h2>\n<p>Keras \u306f\u3001\u30e2\u30b8\u30e5\u30fc\u30eb\u6027\u3068\u62e1\u5f35\u6027\u306e\u539f\u5247\u306b\u57fa\u3065\u3044\u3066\u69cb\u7bc9\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u4e8b\u524d\u306b\u69cb\u7bc9\u3055\u308c\u305f\u5e45\u5e83\u3044\u30ec\u30a4\u30e4\u30fc\u3001\u6d3b\u6027\u5316\u95a2\u6570\u3001\u6700\u9069\u5316\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3001\u640d\u5931\u95a2\u6570\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002\u3053\u306e\u30e2\u30b8\u30e5\u30fc\u30eb\u5f0f\u30a2\u30d7\u30ed\u30fc\u30c1\u306b\u3088\u308a\u3001\u3053\u308c\u3089\u306e\u4e8b\u524d\u5b9a\u7fa9\u3055\u308c\u305f\u30b3\u30f3\u30dd\u30fc\u30cd\u30f3\u30c8\u3092\u7a4d\u307f\u91cd\u306d\u305f\u308a\u63a5\u7d9a\u3057\u305f\u308a\u3059\u308b\u3053\u3068\u3067\u3001\u8907\u96d1\u306a\u30cb\u30e5\u30fc\u30e9\u30eb \u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u69cb\u7bc9\u304c\u5bb9\u6613\u306b\u306a\u308a\u307e\u3059\u3002\u3055\u3089\u306b\u3001Keras \u306f\u3001\u6a5f\u80fd API \u3092\u901a\u3058\u3066\u7279\u5b9a\u306e\u8981\u4ef6\u306b\u5408\u308f\u305b\u3066\u30e2\u30c7\u30eb\u3092\u30ab\u30b9\u30bf\u30de\u30a4\u30ba\u3059\u308b\u81ea\u7531\u3092\u63d0\u4f9b\u3057\u3001\u8907\u6570\u5165\u529b\u304a\u3088\u3073\u8907\u6570\u51fa\u529b\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u3092\u53ef\u80fd\u306b\u3057\u307e\u3059\u3002<\/p>\n<p>TensorFlow \u3078\u306e\u30b7\u30fc\u30e0\u30ec\u30b9\u306a\u7d71\u5408\u306b\u3088\u308a\u3001Keras \u306f TensorFlow \u306e\u9ad8\u5ea6\u306a\u6a5f\u80fd\u3001\u30b9\u30b1\u30fc\u30e9\u30d3\u30ea\u30c6\u30a3\u3001\u304a\u3088\u3073\u5c55\u958b\u30aa\u30d7\u30b7\u30e7\u30f3\u306e\u6069\u6075\u3092\u53d7\u3051\u307e\u3059\u3002\u3053\u306e\u7d71\u5408\u306b\u3088\u308a\u3001Keras \u3092\u5b9f\u7a3c\u50cd\u30ec\u30d9\u30eb\u306e\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u3084\u5927\u898f\u6a21\u306a\u6df1\u5c64\u5b66\u7fd2\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u3067\u4f7f\u7528\u3067\u304d\u308b\u6a5f\u4f1a\u304c\u958b\u304b\u308c\u307e\u3057\u305f\u3002<\/p>\n<h2>Keras \u306e\u5185\u90e8\u69cb\u9020\u3002 Keras \u306e\u4ed5\u7d44\u307f<\/h2>\n<p>Keras \u306f\u3001\u6df1\u5c64\u5b66\u7fd2\u306e\u8907\u96d1\u3055\u3092\u62bd\u8c61\u5316\u3059\u308b\u9ad8\u30ec\u30d9\u30eb\u306e API \u8a2d\u8a08\u306b\u5f93\u3063\u3066\u3044\u307e\u3059\u3002\u305d\u306e\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u306f\u3001\u6b21\u306e 3 \u3064\u306e\u4e3b\u8981\u30b3\u30f3\u30dd\u30fc\u30cd\u30f3\u30c8\u3067\u69cb\u6210\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<ol>\n<li>\n<p><strong>\u30d0\u30c3\u30af\u30a8\u30f3\u30c9:<\/strong> \u30d0\u30c3\u30af\u30a8\u30f3\u30c9\u306f\u3001Keras \u306e\u8a08\u7b97\u64cd\u4f5c\u306e\u5b9f\u884c\u3092\u62c5\u5f53\u3057\u307e\u3059\u3002\u30e6\u30fc\u30b6\u30fc\u306f\u3001\u597d\u307f\u3084\u30cf\u30fc\u30c9\u30a6\u30a7\u30a2\u306e\u4e92\u63db\u6027\u306b\u57fa\u3065\u3044\u3066\u3001TensorFlow\u3001Theano\u3001CNTK \u306a\u3069\u306e\u3055\u307e\u3056\u307e\u306a\u30d0\u30c3\u30af\u30a8\u30f3\u30c9 \u30a8\u30f3\u30b8\u30f3\u304b\u3089\u67d4\u8edf\u306b\u9078\u629e\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u30ec\u30a4\u30e4\u30fc:<\/strong> Keras \u306f\u3001\u9ad8\u5bc6\u5ea6 (\u5b8c\u5168\u63a5\u7d9a)\u3001\u7573\u307f\u8fbc\u307f\u3001\u30ea\u30ab\u30ec\u30f3\u30c8\u3001\u30d7\u30fc\u30ea\u30f3\u30b0\u306a\u3069\u306e\u3055\u307e\u3056\u307e\u306a\u30ec\u30a4\u30e4\u30fc\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002\u3053\u308c\u3089\u306e\u5c64\u3092\u7d44\u307f\u5408\u308f\u305b\u305f\u308a\u7a4d\u307f\u91cd\u306d\u305f\u308a\u3057\u3066\u3001\u5f37\u529b\u306a\u30cb\u30e5\u30fc\u30e9\u30eb \u30cd\u30c3\u30c8\u30ef\u30fc\u30af \u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u3092\u4f5c\u6210\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u30e2\u30c7\u30eb:<\/strong> Keras \u306e\u4e2d\u6838\u3068\u306a\u308b\u69cb\u6210\u8981\u7d20\u306f Model \u30af\u30e9\u30b9\u3067\u3059\u3002\u3053\u308c\u306b\u3088\u308a\u3001\u30e6\u30fc\u30b6\u30fc\u306f\u30ec\u30a4\u30e4\u30fc\u3092\u7d50\u5408\u3057\u305f\u69cb\u9020\u306b\u7de8\u6210\u3057\u3066\u30cb\u30e5\u30fc\u30e9\u30eb \u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u5f62\u6210\u3067\u304d\u307e\u3059\u3002 Keras \u306f\u3001\u7dda\u5f62\u30b9\u30bf\u30c3\u30af\u306e\u3088\u3046\u306a\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u306b\u9069\u3057\u305f Sequential \u30e2\u30c7\u30eb\u3068\u3001\u3088\u308a\u8907\u96d1\u306a\u8907\u6570\u5165\u529b\u304a\u3088\u3073\u8907\u6570\u51fa\u529b\u306e\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u7528\u306e\u95a2\u6570 API \u306e\u4e21\u65b9\u3092\u30b5\u30dd\u30fc\u30c8\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n<h2>Keras \u306e\u4e3b\u8981\u306a\u6a5f\u80fd\u306e\u5206\u6790<\/h2>\n<p>Keras \u306f\u3001\u305d\u306e\u72ec\u7279\u306e\u6a5f\u80fd\u306b\u3088\u308a\u3001\u6df1\u5c64\u5b66\u7fd2\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u306e\u4e2d\u3067\u969b\u7acb\u3063\u3066\u3044\u307e\u3059\u3002<\/p>\n<ol>\n<li>\n<p><strong>\u4f7f\u3044\u3084\u3059\u3044\uff1a<\/strong> Keras \u306f\u76f4\u611f\u7684\u3067\u30b7\u30f3\u30d7\u30eb\u306a API \u3092\u63d0\u4f9b\u3059\u308b\u305f\u3081\u3001\u521d\u5fc3\u8005\u3067\u3082\u7c21\u5358\u306b\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u3092\u59cb\u3081\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u30e2\u30b8\u30e5\u30fc\u30eb\u6027:<\/strong> \u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u306e\u30e2\u30b8\u30e5\u30fc\u30eb\u8a2d\u8a08\u306b\u3088\u308a\u3001\u30e6\u30fc\u30b6\u30fc\u306f\u4e8b\u524d\u306b\u69cb\u7bc9\u3055\u308c\u305f\u30b3\u30f3\u30dd\u30fc\u30cd\u30f3\u30c8\u3092\u7d44\u307f\u5408\u308f\u305b\u3066\u30cb\u30e5\u30fc\u30e9\u30eb \u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u69cb\u7bc9\u3057\u3001\u5b9f\u9a13\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u67d4\u8edf\u6027:<\/strong> \u8907\u6570\u306e\u30d0\u30c3\u30af\u30a8\u30f3\u30c9 \u30aa\u30d7\u30b7\u30e7\u30f3\u3068 TensorFlow \u3068\u306e\u30b7\u30fc\u30e0\u30ec\u30b9\u306a\u7d71\u5408\u306b\u3088\u308a\u3001Keras \u306f\u3055\u307e\u3056\u307e\u306a\u30cf\u30fc\u30c9\u30a6\u30a7\u30a2\u3068\u5c55\u958b\u306e\u8981\u4ef6\u306b\u9069\u5fdc\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u62e1\u5f35\u6027:<\/strong> \u30e6\u30fc\u30b6\u30fc\u306f\u3001\u30ab\u30b9\u30bf\u30e0 \u30ec\u30a4\u30e4\u30fc\u3001\u640d\u5931\u95a2\u6570\u3001\u305d\u306e\u4ed6\u306e\u30b3\u30f3\u30dd\u30fc\u30cd\u30f3\u30c8\u3092\u958b\u767a\u3057\u3066\u3001Keras \u306e\u6a5f\u80fd\u3092\u62e1\u5f35\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u30b3\u30df\u30e5\u30cb\u30c6\u30a3\u30b5\u30dd\u30fc\u30c8:<\/strong> Keras \u306b\u306f\u6d3b\u6c17\u306b\u6e80\u3061\u305f\u30a2\u30af\u30c6\u30a3\u30d6\u306a\u30b3\u30df\u30e5\u30cb\u30c6\u30a3\u304c\u3042\u308a\u3001\u5e83\u7bc4\u306a\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u3001\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3001\u30b3\u30fc\u30c9 \u30b5\u30f3\u30d7\u30eb\u3092\u63d0\u4f9b\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n<h2>Keras\u306e\u7a2e\u985e<\/h2>\n<p>Keras \u306b\u306f\u3001\u591a\u69d8\u306a\u30cb\u30fc\u30ba\u306b\u5fdc\u3048\u308b\u305f\u3081\u306b\u3055\u307e\u3056\u307e\u306a\u5f62\u5f0f\u304c\u3042\u308a\u307e\u3059\u3002\u4e3b\u306a\u30bf\u30a4\u30d7\u306f\u6b21\u306e\u3068\u304a\u308a\u3067\u3059\u3002<\/p>\n<ol>\n<li>\n<p><strong>\u30b9\u30bf\u30f3\u30c9\u30a2\u30ed\u30f3 Keras:<\/strong> TensorFlow \u3068\u7d71\u5408\u3055\u308c\u308b\u524d\u306e Keras \u306e\u30aa\u30ea\u30b8\u30ca\u30eb\u306e\u30b9\u30bf\u30f3\u30c9\u30a2\u30ed\u30f3 \u30d0\u30fc\u30b8\u30e7\u30f3\u3002\u73fe\u5728\u3067\u3082\u4f7f\u7528\u3067\u304d\u307e\u3059\u304c\u3001\u307b\u3068\u3093\u3069\u306e\u30e6\u30fc\u30b6\u30fc\u306f TensorFlow \u306e\u8ffd\u52a0\u5229\u70b9\u3092\u8003\u616e\u3057\u3066\u7d71\u5408\u30d0\u30fc\u30b8\u30e7\u30f3\u3092\u597d\u307f\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>TensorFlow \u306e Keras API:<\/strong> \u3053\u308c\u306f Keras \u306e\u516c\u5f0f\u30d0\u30fc\u30b8\u30e7\u30f3\u3067\u3042\u308a\u3001TensorFlow \u30e9\u30a4\u30d6\u30e9\u30ea\u306b\u7d71\u5408\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u7d4c\u7531\u3067\u30a2\u30af\u30bb\u30b9\u3067\u304d\u307e\u3059 <code data-no-translation=\"\">tf.keras<\/code> TensorFlow \u30e6\u30fc\u30b6\u30fc\u306b\u306f\u63a8\u5968\u3055\u308c\u308b\u9078\u629e\u80a2\u3067\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n<h2>Keras\u306e\u4f7f\u3044\u65b9\u3068\u305d\u306e\u554f\u984c\u70b9\u3068\u305d\u306e\u89e3\u6c7a\u65b9\u6cd5<\/h2>\n<p>Keras \u306f\u3001\u6df1\u5c64\u5b66\u7fd2\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306e\u8907\u96d1\u3055\u3068\u898f\u6a21\u306b\u5fdc\u3058\u3066\u3001\u3055\u307e\u3056\u307e\u306a\u65b9\u6cd5\u3067\u4f7f\u7528\u3067\u304d\u307e\u3059\u3002\u4e00\u822c\u7684\u306a\u4f7f\u7528\u30b7\u30ca\u30ea\u30aa\u306b\u306f\u6b21\u306e\u3088\u3046\u306a\u3082\u306e\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<ol>\n<li>\n<p><strong>\u521d\u5fc3\u8005\u5411\u3051\u30d7\u30ed\u30b8\u30a7\u30af\u30c8:<\/strong> Keras \u306f\u3001\u521d\u5fc3\u8005\u5411\u3051\u306b\u3001\u30d5\u30a3\u30fc\u30c9\u30d5\u30a9\u30ef\u30fc\u30c9 \u30cb\u30e5\u30fc\u30e9\u30eb \u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3084\u7573\u307f\u8fbc\u307f\u30cb\u30e5\u30fc\u30e9\u30eb \u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306a\u3069\u306e\u57fa\u672c\u7684\u306a\u30cb\u30e5\u30fc\u30e9\u30eb \u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u5c0f\u898f\u6a21\u306a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306b\u5b9f\u88c5\u3057\u3066\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3059\u308b\u305f\u3081\u306e\u7c21\u5358\u306a\u65b9\u6cd5\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u7814\u7a76\u3068\u30d7\u30ed\u30c8\u30bf\u30a4\u30d4\u30f3\u30b0:<\/strong> \u7814\u7a76\u8005\u3084\u30c7\u30fc\u30bf \u30b5\u30a4\u30a8\u30f3\u30c6\u30a3\u30b9\u30c8\u306f\u3001\u4f7f\u3044\u3084\u3059\u3055\u3068\u30e2\u30c7\u30eb\u306e\u8fc5\u901f\u306a\u53cd\u5fa9\u6a5f\u80fd\u306b\u3088\u308a\u3001Keras \u3092\u8fc5\u901f\u306a\u30d7\u30ed\u30c8\u30bf\u30a4\u30d4\u30f3\u30b0\u3084\u5b9f\u9a13\u306b\u3088\u304f\u5229\u7528\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u8ee2\u79fb\u5b66\u7fd2:<\/strong> Keras \u306f\u3001\u4e8b\u524d\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3055\u308c\u305f\u30e2\u30c7\u30eb\u3068\u8ee2\u79fb\u5b66\u7fd2\u306e\u4f7f\u7528\u3092\u5bb9\u6613\u306b\u3057\u3001\u5927\u898f\u6a21\u306a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3067\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3055\u308c\u305f\u30e2\u30c7\u30eb\u3092\u7279\u5b9a\u306e\u30bf\u30b9\u30af\u306b\u9069\u5fdc\u3055\u305b\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u5b9f\u7a3c\u50cd\u30ec\u30d9\u30eb\u306e\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3:<\/strong> \u5927\u898f\u6a21\u306a\u904b\u7528\u74b0\u5883\u306e\u5834\u5408\u3001Keras \u3068 TensorFlow \u3092\u7d71\u5408\u3059\u308b\u3068\u3001TensorFlow Serving \u307e\u305f\u306f TensorFlow Lite \u3092\u4ecb\u3057\u305f\u52b9\u7387\u7684\u306a\u5206\u6563\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3068\u30b5\u30fc\u30d3\u30b9\u304c\u53ef\u80fd\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n<p>Keras \u306e\u4f7f\u7528\u306b\u95a2\u9023\u3059\u308b\u554f\u984c\u306b\u306f\u3001\u3055\u307e\u3056\u307e\u306a\u30d0\u30c3\u30af\u30a8\u30f3\u30c9\u3068\u306e\u4e92\u63db\u6027\u306e\u554f\u984c\u3084\u3001\u7279\u5b9a\u306e\u30cf\u30fc\u30c9\u30a6\u30a7\u30a2\u5411\u3051\u306b\u30e2\u30c7\u30eb\u3092\u6700\u9069\u5316\u3059\u308b\u969b\u306e\u8ab2\u984c\u304c\u542b\u307e\u308c\u308b\u3053\u3068\u304c\u3088\u304f\u3042\u308a\u307e\u3059\u3002\u305f\u3060\u3057\u3001Keras \u306e\u6d3b\u767a\u306a\u30b3\u30df\u30e5\u30cb\u30c6\u30a3\u3068\u5e83\u7bc4\u306a\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u306f\u3001\u30e6\u30fc\u30b6\u30fc\u304c\u906d\u9047\u3059\u308b\u53ef\u80fd\u6027\u306e\u3042\u308b\u307b\u3068\u3093\u3069\u306e\u554f\u984c\u306e\u89e3\u6c7a\u7b56\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002<\/p>\n<h2>\u4e3b\u306a\u7279\u5fb4\u3068\u985e\u4f3c\u7528\u8a9e\u3068\u306e\u6bd4\u8f03<\/h2>\n<p>Keras \u306e\u91cd\u8981\u6027\u3092\u3088\u308a\u6df1\u304f\u7406\u89e3\u3059\u308b\u305f\u3081\u306b\u3001\u540c\u69d8\u306e\u6df1\u5c64\u5b66\u7fd2\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3068\u6bd4\u8f03\u3057\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\n<table>\n<thead>\n<tr>\n<th>\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af<\/th>\n<th>\u4e3b\u306a\u7279\u5fb4<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u30b1\u30e9\u30b9<\/td>\n<td>\u30e6\u30fc\u30b6\u30fc\u30d5\u30ec\u30f3\u30c9\u30ea\u30fc\u306a\u30e2\u30b8\u30e5\u30fc\u30eb\u8a2d\u8a08\u3001TensorFlow \u7d71\u5408\u3001\u67d4\u8edf\u6027\u3001\u5f37\u529b\u306a\u30b3\u30df\u30e5\u30cb\u30c6\u30a3 \u30b5\u30dd\u30fc\u30c8\u3002<\/td>\n<\/tr>\n<tr>\n<td>TensorFlow<\/td>\n<td>\u591a\u7528\u9014\u6027\u3001\u30b9\u30b1\u30fc\u30e9\u30d3\u30ea\u30c6\u30a3\u3001\u672c\u756a\u5bfe\u5fdc\u3001\u5f37\u5316\u5b66\u7fd2\u7528\u30c4\u30fc\u30eb\u306a\u3069\u3092\u5099\u3048\u305f\u5e83\u7bc4\u306a\u30a8\u30b3\u30b7\u30b9\u30c6\u30e0\u3002<\/td>\n<\/tr>\n<tr>\n<td>\u30d1\u30a4\u30c8\u30fc\u30c1<\/td>\n<td>\u52d5\u7684\u306a\u8a08\u7b97\u30b0\u30e9\u30d5\u3001\u7814\u7a76\u3067\u306e\u5f37\u529b\u306a\u63a1\u7528\u3001\u3088\u308a\u7c21\u5358\u306a\u30c7\u30d0\u30c3\u30b0\u3001\u304a\u3088\u3073\u3088\u308a Python \u7684\u306a\u69cb\u6587\u3002<\/td>\n<\/tr>\n<tr>\n<td>\u30ab\u30d5\u30a7<\/td>\n<td>\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30fc \u30d3\u30b8\u30e7\u30f3 \u30bf\u30b9\u30af\u306b\u7279\u5316\u3057\u3066\u304a\u308a\u3001\u63a8\u8ad6\u306f\u9ad8\u901f\u3067\u3059\u304c\u3001\u30e2\u30c7\u30eb\u306e\u30ab\u30b9\u30bf\u30de\u30a4\u30ba\u306e\u67d4\u8edf\u6027\u306f\u4f4e\u304f\u306a\u308a\u307e\u3059\u3002<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Keras \u306f\u4ed6\u306e\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3068\u6bd4\u8f03\u3057\u3066\u30e6\u30fc\u30b6\u30fc\u30d5\u30ec\u30f3\u30c9\u30ea\u30fc\u3055\u3068\u4f7f\u3044\u3084\u3059\u3055\u306b\u512a\u308c\u3066\u304a\u308a\u3001\u521d\u5fc3\u8005\u3084\u30e9\u30d4\u30c3\u30c9\u30d7\u30ed\u30c8\u30bf\u30a4\u30d4\u30f3\u30b0\u306b\u91cd\u70b9\u3092\u7f6e\u3044\u3066\u3044\u308b\u4eba\u306b\u3068\u3063\u3066\u597d\u307e\u3057\u3044\u9078\u629e\u80a2\u3068\u306a\u3063\u3066\u3044\u307e\u3059\u3002<\/p>\n<h2>Keras \u306b\u95a2\u9023\u3059\u308b\u5c06\u6765\u306e\u5c55\u671b\u3068\u30c6\u30af\u30ce\u30ed\u30b8\u30fc<\/h2>\n<p>Keras \u306e\u5c06\u6765\u306f\u3001\u30c7\u30a3\u30fc\u30d7 \u30e9\u30fc\u30cb\u30f3\u30b0\u3068\u305d\u306e\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u306e\u9032\u5316\u3068\u5bc6\u63a5\u306b\u95a2\u4fc2\u3057\u3066\u3044\u307e\u3059\u3002\u6df1\u5c64\u5b66\u7fd2\u304c\u9032\u6b69\u3057\u7d9a\u3051\u308b\u306b\u3064\u308c\u3066\u3001Keras \u306f\u95a2\u9023\u6027\u3092\u7dad\u6301\u3059\u308b\u305f\u3081\u306b\u65b0\u3057\u3044\u6280\u8853\u3068\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u3092\u7d44\u307f\u8fbc\u3080\u3053\u3068\u304c\u671f\u5f85\u3055\u308c\u3066\u3044\u307e\u3059\u3002 Keras \u306e\u5c06\u6765\u306e\u958b\u767a\u306e\u53ef\u80fd\u6027\u3068\u3057\u3066\u306f\u3001\u6b21\u306e\u3088\u3046\u306a\u3082\u306e\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<ol>\n<li>\n<p><strong>\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3092\u5411\u4e0a\u3055\u305b\u305f\uff1a<\/strong> Keras \u306f\u3001\u7d99\u7d9a\u7684\u306a\u6700\u9069\u5316\u306e\u53d6\u308a\u7d44\u307f\u304b\u3089\u6069\u6075\u3092\u53d7\u3051\u308b\u53ef\u80fd\u6027\u304c\u9ad8\u304f\u3001\u3055\u307e\u3056\u307e\u306a\u30cf\u30fc\u30c9\u30a6\u30a7\u30a2 \u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u3067\u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3068\u63a8\u8ad6\u306e\u9ad8\u901f\u5316\u304c\u53ef\u80fd\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>AutoML \u306e\u7d71\u5408:<\/strong> Keras \u5185\u306b\u81ea\u52d5\u6a5f\u68b0\u5b66\u7fd2 (AutoML) \u6280\u8853\u3092\u7d71\u5408\u3059\u308b\u3068\u3001\u30e6\u30fc\u30b6\u30fc\u306f\u6700\u9069\u306a\u30cb\u30e5\u30fc\u30e9\u30eb \u30cd\u30c3\u30c8\u30ef\u30fc\u30af \u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u3092\u81ea\u52d5\u7684\u306b\u691c\u7d22\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u65b0\u3057\u3044\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u306e\u30b5\u30dd\u30fc\u30c8:<\/strong> \u65b0\u3057\u3044\u30cb\u30e5\u30fc\u30e9\u30eb \u30cd\u30c3\u30c8\u30ef\u30fc\u30af \u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u304c\u51fa\u73fe\u3059\u308b\u306b\u3064\u308c\u3066\u3001Keras \u306f\u3053\u308c\u3089\u306e\u30e2\u30c7\u30eb\u3092\u30b5\u30dd\u30fc\u30c8\u3057\u3001\u3055\u307e\u3056\u307e\u306a\u30c9\u30e1\u30a4\u30f3\u3067\u306e\u9069\u7528\u53ef\u80fd\u6027\u3092\u3055\u3089\u306b\u62e1\u5927\u3059\u308b\u3068\u4e88\u60f3\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u7d99\u7d9a\u7684\u306a\u7814\u7a76\u5354\u529b:<\/strong> Keras \u306f TensorFlow \u30b3\u30df\u30e5\u30cb\u30c6\u30a3\u3068\u306e\u7dca\u5bc6\u306a\u9023\u643a\u3092\u7dad\u6301\u3057\u3001\u3053\u306e\u5206\u91ce\u306e\u9032\u6b69\u304b\u3089\u5229\u76ca\u3092\u5f97\u3066\u8ca2\u732e\u3057\u3066\u3044\u304f\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n<h2>\u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u306e\u4f7f\u7528\u65b9\u6cd5\u307e\u305f\u306f Keras \u3068\u306e\u95a2\u9023\u4ed8\u3051\u65b9\u6cd5<\/h2>\n<p>\u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u306f\u3001\u7279\u306b\u5730\u7406\u7684\u307e\u305f\u306f\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u5236\u9650\u306b\u3088\u308a\u30c7\u30fc\u30bf \u30a2\u30af\u30bb\u30b9\u3084\u30e2\u30c7\u30eb\u306e\u63d0\u4f9b\u304c\u5236\u9650\u3055\u308c\u3066\u3044\u308b\u30b7\u30ca\u30ea\u30aa\u306b\u304a\u3044\u3066\u3001Keras \u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u306e\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3092\u5411\u4e0a\u3055\u305b\u308b\u5f79\u5272\u3092\u679c\u305f\u3059\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002 Keras \u3067\u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u3092\u4f7f\u7528\u3067\u304d\u308b\u65b9\u6cd5\u3092\u3044\u304f\u3064\u304b\u793a\u3057\u307e\u3059\u3002<\/p>\n<ol>\n<li>\n<p><strong>\u30c7\u30fc\u30bf\u30a2\u30af\u30bb\u30b9\uff1a<\/strong> \u5834\u5408\u306b\u3088\u3063\u3066\u306f\u3001\u6df1\u5c64\u5b66\u7fd2\u30e2\u30c7\u30eb\u3092\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3059\u308b\u305f\u3081\u306e\u30c7\u30fc\u30bf\u304c\u3001\u5730\u7406\u7684\u306b\u7570\u306a\u308b\u5834\u6240\u306b\u5206\u6563\u3055\u308c\u308b\u5834\u5408\u304c\u3042\u308a\u307e\u3059\u3002\u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u306f\u3001\u30c7\u30fc\u30bf \u30a2\u30af\u30bb\u30b9\u3092\u30ad\u30e3\u30c3\u30b7\u30e5\u3057\u3066\u9ad8\u901f\u5316\u3057\u3001\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u6642\u9593\u3092\u77ed\u7e2e\u3059\u308b\u3053\u3068\u3067\u3001\u52b9\u7387\u7684\u306a\u30c7\u30fc\u30bf\u53d6\u5f97\u3092\u53ef\u80fd\u306b\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u8ca0\u8377\u5206\u6563:<\/strong> \u9ad8\u30c8\u30e9\u30d5\u30a3\u30c3\u30af\u306e\u30b7\u30ca\u30ea\u30aa\u3067\u306f\u3001\u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u3092\u30c7\u30d7\u30ed\u30a4\u3059\u308b\u3068\u3001\u53d7\u4fe1\u30ea\u30af\u30a8\u30b9\u30c8\u3092\u8907\u6570\u306e Keras \u642d\u8f09\u30b5\u30fc\u30d0\u30fc\u306b\u5206\u6563\u3057\u3001\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0 \u30ea\u30bd\u30fc\u30b9\u306e\u52b9\u7387\u7684\u306a\u5229\u7528\u3092\u78ba\u4fdd\u3057\u3001\u5fdc\u7b54\u6642\u9593\u3092\u5411\u4e0a\u3055\u305b\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u3068\u30d7\u30e9\u30a4\u30d0\u30b7\u30fc:<\/strong> \u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u306f\u30e6\u30fc\u30b6\u30fc\u3068 Keras \u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u306e\u9593\u306e\u4ef2\u4ecb\u8005\u3068\u3057\u3066\u6a5f\u80fd\u3057\u3001\u5b9f\u969b\u306e\u30b5\u30fc\u30d0\u30fc IP \u3092\u30de\u30b9\u30af\u3057\u3066\u6a5f\u5bc6\u30c7\u30fc\u30bf\u3092\u4fdd\u8b77\u3059\u308b\u3053\u3068\u3067\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u5c64\u3092\u8ffd\u52a0\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u30b3\u30f3\u30c6\u30f3\u30c4\u30d5\u30a3\u30eb\u30bf\u30ea\u30f3\u30b0:<\/strong> \u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u306f\u3001\u7279\u5b9a\u306e\u30b3\u30f3\u30c6\u30f3\u30c4\u3078\u306e\u30a2\u30af\u30bb\u30b9\u3092\u30d5\u30a3\u30eb\u30bf\u30ea\u30f3\u30b0\u3057\u3066\u5236\u9650\u3067\u304d\u307e\u3059\u3002\u3053\u308c\u306f\u3001Keras \u30e2\u30c7\u30eb\u3078\u306e\u30a2\u30af\u30bb\u30b9\u3092\u5236\u5fa1\u3057\u305f\u308a\u3001\u30e6\u30fc\u30b6\u30fc\u306e\u8981\u4ef6\u306b\u57fa\u3065\u3044\u3066\u7279\u5b9a\u306e\u51fa\u529b\u3092\u63d0\u4f9b\u3057\u305f\u308a\u3059\u308b\u5834\u5408\u306b\u5f79\u7acb\u3061\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n<h2>\u95a2\u9023\u30ea\u30f3\u30af<\/h2>\n<p>Keras \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:\/\/keras.io\/\" target=\"_new\" rel=\"noopener nofollow\">Keras \u306e\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/keras-team\/keras\" target=\"_new\" rel=\"noopener nofollow\">Keras GitHub \u30ea\u30dd\u30b8\u30c8\u30ea<\/a><\/li>\n<li><a href=\"https:\/\/www.tensorflow.org\/\" target=\"_new\" rel=\"noopener nofollow\">TensorFlow \u516c\u5f0f\u30a6\u30a7\u30d6\u30b5\u30a4\u30c8<\/a><\/li>\n<li><a href=\"https:\/\/pytorch.org\/\" target=\"_new\" rel=\"noopener nofollow\">PyTorch \u516c\u5f0f\u30a6\u30a7\u30d6\u30b5\u30a4\u30c8<\/a><\/li>\n<li><a href=\"http:\/\/caffe.berkeleyvision.org\/\" target=\"_new\" rel=\"noopener nofollow\">\u30ab\u30d5\u30a7\u516c\u5f0f\u30b5\u30a4\u30c8<\/a><\/li>\n<\/ul>\n<p>\u7d50\u8ad6\u3068\u3057\u3066\u3001Keras \u306f\u3001\u305d\u306e\u30e6\u30fc\u30b6\u30fc\u30d5\u30ec\u30f3\u30c9\u30ea\u30fc\u306a\u6027\u8cea\u3068\u5805\u7262\u306a\u6a5f\u80fd\u304c\u9ad8\u304f\u8a55\u4fa1\u3055\u308c\u3001\u4e3b\u8981\u306a\u6df1\u5c64\u5b66\u7fd2\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3068\u3057\u3066\u6d6e\u4e0a\u3057\u307e\u3057\u305f\u3002 TensorFlow \u3068\u306e\u30b7\u30fc\u30e0\u30ec\u30b9\u306a\u7d71\u5408\u306b\u3088\u308a\u3001\u30cb\u30e5\u30fc\u30e9\u30eb \u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u69cb\u7bc9\u304a\u3088\u3073\u5c55\u958b\u3059\u308b\u305f\u3081\u306e\u5f37\u529b\u3067\u67d4\u8edf\u306a\u30d7\u30e9\u30c3\u30c8\u30d5\u30a9\u30fc\u30e0\u304c\u30e6\u30fc\u30b6\u30fc\u306b\u63d0\u4f9b\u3055\u308c\u307e\u3059\u3002\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u306e\u5206\u91ce\u304c\u9032\u5316\u3057\u7d9a\u3051\u308b\u4e2d\u3001Keras \u3082\u305d\u308c\u306b\u4f34\u3063\u3066\u9032\u5316\u3057\u3001\u4eba\u5de5\u77e5\u80fd\u3068\u6a5f\u68b0\u5b66\u7fd2\u306e\u30a4\u30ce\u30d9\u30fc\u30b7\u30e7\u30f3\u306e\u6700\u524d\u7dda\u306b\u7559\u307e\u308b\u3053\u3068\u304c\u671f\u5f85\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>","protected":false},"featured_media":468725,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-477761","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Keras: A Comprehensive Guide<\/mark>","faq_items":[{"question":"What is Keras?","answer":"<p>Keras is an open-source deep learning framework written in Python. It is known for its user-friendliness and flexibility, making it a popular choice among researchers, developers, and data scientists for building and experimenting with neural networks.<\/p>"},{"question":"Who developed Keras and when was it released?","answer":"<p>Keras was developed by Fran\u00e7ois Chollet and was first released in March 2015.<\/p>"},{"question":"What are the key features of Keras?","answer":"<p>Keras offers several key features, including a user-friendly API, modularity for building complex neural networks, seamless integration with TensorFlow, and extensibility to customize models.<\/p>"},{"question":"What types of Keras are there?","answer":"<p>There are two main types of Keras: the standalone version, which existed before integration with TensorFlow, and the integrated version, known as <code>tf.keras<\/code>, which is the official version integrated into the TensorFlow library.<\/p>"},{"question":"How does Keras work internally?","answer":"<p>Keras follows a high-level API design, with three main components: the backend for executing computational operations, layers for building neural network components, and models to organize the layers into a cohesive structure.<\/p>"},{"question":"How can proxy servers be associated with Keras?","answer":"<p>Proxy servers can enhance the performance of Keras applications by facilitating efficient data retrieval, load balancing, security, and privacy measures, and content filtering.<\/p>"},{"question":"What are the future perspectives of Keras?","answer":"<p>The future of Keras is expected to see improved performance, potential integration with AutoML techniques, support for new architectures, and continued collaboration with the TensorFlow community.<\/p>"},{"question":"Where can I find more information about Keras?","answer":"<p>For more information about Keras, you can explore the official <a href=\"https:\/\/keras.io\/\" target=\"_new\">Keras documentation<\/a>, visit the <a href=\"https:\/\/github.com\/keras-team\/keras\" target=\"_new\">Keras GitHub repository<\/a>, and also check out the official websites of <a href=\"https:\/\/www.tensorflow.org\/\" target=\"_new\">TensorFlow<\/a>, <a href=\"https:\/\/pytorch.org\/\" target=\"_new\">PyTorch<\/a>, and <a href=\"http:\/\/caffe.berkeleyvision.org\/\" target=\"_new\">Caffe<\/a>.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/wiki\/477761","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\/477761\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/media\/468725"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/media?parent=477761"}],"curies":[{"name":"\u3046\u30fc\u3093","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}