\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3068\u306f\u4f55\u3067\u3059\u304b\uff1f
\n\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\uff08Neural Network\uff09\u306f\u3001\u4eba\u5de5\u77e5\u80fd\uff08AI\uff09\u3084\u6a5f\u68b0\u5b66\u7fd2\uff08Machine Learning\uff09\u306e\u4e00\u5206\u91ce\u3067\u3042\u308a\u3001\u7279\u306b\u30d1\u30bf\u30fc\u30f3\u8a8d\u8b58\u3084\u30c7\u30fc\u30bf\u89e3\u6790\u3001\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\u3001\u753b\u50cf\u8a8d\u8b58\u306a\u3069\u306e\u30bf\u30b9\u30af\u306b\u5e83\u304f\u5229\u7528\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n
\u305d\u306e\u57fa\u672c\u6982\u5ff5\u306f\u3001\u751f\u7269\u306e\u795e\u7d4c\u7cfb\u3001\u3068\u308a\u308f\u3051\u8133\u306e\u30cb\u30e5\u30fc\u30ed\u30f3\u69cb\u9020\u3092\u6a21\u5023\u3057\u305f\u3082\u306e\u3067\u3001\u8907\u6570\u306e\u5c64\uff08layers\uff09\u3068\u7d50\u5408\uff08connections\uff09\u3055\u308c\u305f\u30cb\u30e5\u30fc\u30ed\u30f3\uff08neurons\uff09\u3092\u6301\u3064\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3067\u3059\u3002<\/p>\n
\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u69cb\u9020<\/p>\n
\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306f\u901a\u5e38\u3001\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u5c64\u3067\u69cb\u6210\u3055\u308c\u307e\u3059\u3000<\/p>\n
\u5165\u529b\u5c64\uff08Input Layer\uff09<\/p>\n
\u30c7\u30fc\u30bf\u304c\u6700\u521d\u306b\u6295\u5165\u3055\u308c\u308b\u5c64\u3067\u3001\u30cb\u30e5\u30fc\u30ed\u30f3\u6570\u306f\u5165\u529b\u30c7\u30fc\u30bf\u306e\u6b21\u5143\u3068\u540c\u3058\u3067\u3059\u3002<\/p>\n
\u4f8b\u3048\u3070\u3001\u753b\u50cf\u8a8d\u8b58\u306e\u5834\u5408\u3001\u5404\u753b\u7d20\u304c\u4e00\u3064\u306e\u30cb\u30e5\u30fc\u30ed\u30f3\u306b\u76f8\u5f53\u3057\u307e\u3059\u3002<\/p>\n
\u96a0\u308c\u5c64\uff08Hidden Layers\uff09<\/p>\n
\u5165\u529b\u30c7\u30fc\u30bf\u3092\u51e6\u7406\u3059\u308b\u5185\u90e8\u5c64\u3067\u3059\u3002<\/p>\n
\u901a\u5e38\u306f\u4e00\u3064\u4ee5\u4e0a\u5b58\u5728\u3057\u3001\u6df1\u5c64\u5b66\u7fd2\uff08Deep Learning\uff09\u3067\u306f\u591a\u6570\u306e\u96a0\u308c\u5c64\u304c\u3042\u308b\u3053\u3068\u304c\u4e00\u822c\u7684\u3067\u3059\u3002<\/p>\n
\u305d\u308c\u305e\u308c\u306e\u96a0\u308c\u5c64\u306f\u3001\u524d\u306e\u5c64\u304b\u3089\u306e\u5165\u529b\u3092\u91cd\u307f\u4ed8\u304d\u3067\u53d7\u3051\u53d6\u308a\u3001\u6d3b\u6027\u5316\u95a2\u6570\uff08activation function\uff09\u3092\u7d4c\u3066\u6b21\u306e\u5c64\u306b\u51fa\u529b\u3057\u307e\u3059\u3002<\/p>\n
\u51fa\u529b\u5c64\uff08Output Layer\uff09<\/p>\n
\u6700\u7d42\u7684\u306a\u4e88\u6e2c\u7d50\u679c\u3084\u5206\u985e\u7d50\u679c\u3092\u51fa\u529b\u3059\u308b\u5c64\u3067\u3059\u3002<\/p>\n
\u30bf\u30b9\u30af\u306b\u5fdc\u3058\u3066\u30cb\u30e5\u30fc\u30ed\u30f3\u6570\u306f\u5909\u308f\u308a\u307e\u3059\u3002<\/p>\n
\u4f8b\u3048\u3070\u30012\u30af\u30e9\u30b9\u306e\u5206\u985e\u554f\u984c\u306a\u3089\u51fa\u529b\u5c64\u306b\u306f2\u3064\u306e\u30cb\u30e5\u30fc\u30ed\u30f3\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n
\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u52d5\u4f5c\u539f\u7406<\/p>\n
\u30d5\u30a9\u30ef\u30fc\u30c9\u30d7\u30ed\u30d1\u30b2\u30fc\u30b7\u30e7\u30f3\uff08Forward Propagation\uff09
\n– \u5165\u529b\u30c7\u30fc\u30bf\u304c\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u901a\u904e\u3059\u308b\u904e\u7a0b\u3067\u3059\u3002<\/p>\n
\u5404\u30cb\u30e5\u30fc\u30ed\u30f3\u306f\u3001\u4ed6\u306e\u30cb\u30e5\u30fc\u30ed\u30f3\u3068\u306e\u7d50\u5408\u91cd\u307f\uff08weights\uff09\u306b\u57fa\u3065\u3044\u3066\u4fe1\u53f7\u3092\u53d7\u3051\u53d6\u308a\u3001\u6d3b\u6027\u5316\u95a2\u6570\u3092\u901a\u3057\u3066\u6b21\u306e\u5c64\u306b\u4fe1\u53f7\u3092\u9001\u308a\u307e\u3059\u3002<\/p>\n
\u30d0\u30c3\u30af\u30d7\u30ed\u30d1\u30b2\u30fc\u30b7\u30e7\u30f3\uff08Back Propagation\uff09
\n– \u8aa4\u5dee\u9006\u4f1d\u64ad\u6cd5\u3068\u547c\u3070\u308c\u308b\u5b66\u7fd2\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3067\u3001\u4e88\u6e2c\u7d50\u679c\u3068\u5b9f\u969b\u306e\u30e9\u30d9\u30eb\u3068\u306e\u8aa4\u5dee\u3092\u57fa\u306b\u91cd\u307f\u3092\u8abf\u6574\u3057\u307e\u3059\u3002<\/p>\n
\u3053\u308c\u306f\u52fe\u914d\u4e0b\u964d\u6cd5\uff08Gradient Descent\uff09\u3092\u7528\u3044\u3066\u884c\u308f\u308c\u3001\u8aa4\u5dee\u3092\u6700\u5c0f\u5316\u3059\u308b\u65b9\u5411\u306b\u91cd\u307f\u3092\u66f4\u65b0\u3057\u307e\u3059\u3002<\/p>\n
\u4ee3\u8868\u7684\u306a\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u7a2e\u985e<\/p>\n
\u5168\u7d50\u5408\u5c64\uff08Fully Connected Layer, FC\uff09<\/p>\n
\u5404\u30cb\u30e5\u30fc\u30ed\u30f3\u304c\u524d\u306e\u5c64\u306e\u5168\u3066\u306e\u30cb\u30e5\u30fc\u30ed\u30f3\u3068\u7d50\u5408\u3057\u3066\u3044\u308b\u4e00\u822c\u7684\u306a\u5c64\u3002<\/p>\n
\u7573\u307f\u8fbc\u307f\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\uff08Convolutional Neural Network, CNN\uff09<\/p>\n
\u4e3b\u306b\u753b\u50cf\u30c7\u30fc\u30bf\u306e\u51e6\u7406\u306b\u7528\u3044\u3089\u308c\u308b\u3002<\/p>\n
\u7573\u307f\u8fbc\u307f\u5c64\u3068\u30d7\u30fc\u30ea\u30f3\u30b0\u5c64\u3092\u6301\u3061\u3001\u7279\u5fb4\u91cf\u62bd\u51fa\u306b\u512a\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n
\u518d\u5e30\u578b\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\uff08Recurrent Neural Network, RNN\uff09<\/p>\n
\u6642\u7cfb\u5217\u30c7\u30fc\u30bf\u3084\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\u306b\u5f37\u3044\u30e2\u30c7\u30eb\u3002<\/p>\n
\u5185\u90e8\u306b\u30eb\u30fc\u30d7\u3092\u6301\u3061\u3001\u904e\u53bb\u306e\u60c5\u5831\u3092\u8a18\u61b6\u3059\u308b\u3002<\/p>\n
\u751f\u6210\u30e2\u30c7\u30eb\uff08Generative Adversarial Networks, GANs\uff09<\/p>\n
\u751f\u6210\u30e2\u30c7\u30eb\u3068\u8b58\u5225\u30e2\u30c7\u30eb\uff08Discriminator\uff09\u3068\u3044\u30462\u3064\u306e\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u304c\u7af6\u5408\u3059\u308b\u3053\u3068\u3067\u3001\u30ea\u30a2\u30eb\u306a\u30c7\u30fc\u30bf\u306e\u751f\u6210\u3092\u5b66\u7fd2\u3002<\/p>\n
\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u5fdc\u7528\u4f8b<\/p>\n
\u753b\u50cf\u8a8d\u8b58\u3000\u7269\u4f53\u691c\u51fa\u3001\u81ea\u52d5\u904b\u8ee2\u8eca\u306e\u8996\u899a\u30b7\u30b9\u30c6\u30e0\u3001\u9854\u8a8d\u8b58\u3002<\/p>\n
\u97f3\u58f0\u8a8d\u8b58\u3000\u30b9\u30de\u30fc\u30c8\u30a2\u30b7\u30b9\u30bf\u30f3\u30c8\u3001\u97f3\u58f0\u7ffb\u8a33\u3002<\/p>\n
\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\u3000\u30c1\u30e3\u30c3\u30c8\u30dc\u30c3\u30c8\u3001\u6a5f\u68b0\u7ffb\u8a33\u3001\u6587\u7ae0\u751f\u6210\u3002<\/p>\n
\u30b2\u30fc\u30e0AI\u3000\u30c1\u30a7\u30b9\u3084\u56f2\u7881\u306a\u3069\u306e\u6226\u7565\u30b2\u30fc\u30e0\u3067\u306e\u5bfe\u6226\u3002<\/p>\n
\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u6839\u62e0<\/p>\n
\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u7406\u8ad6\u7684\u57fa\u76e4\u306f\u3001\u751f\u7269\u5b66\u7684\u306a\u30cb\u30e5\u30fc\u30ed\u30f3\u306e\u30e2\u30c7\u30eb\u306b\u3042\u308a\u307e\u3059\u3002<\/p>\n
1943\u5e74\u306b\u30a6\u30a9\u30fc\u30ec\u30f3\u30fb\u30de\u30ab\u30ed\u30c3\u30af\u3068\u30a6\u30a9\u30eb\u30bf\u30fc\u30fb\u30d4\u30c3\u30c4\u304c\u795e\u7d4c\u7d30\u80de\u306e\u6570\u5b66\u7684\u30e2\u30c7\u30eb\u3092\u767a\u8868\u3057\u305f\u3053\u3068\u304c\u59cb\u307e\u308a\u3067\u3059\u3002<\/p>\n
\u305d\u306e\u5f8c\u30011958\u5e74\u306b\u30d5\u30e9\u30f3\u30af\u30fb\u30ed\u30fc\u30bc\u30f3\u30d6\u30e9\u30c3\u30c8\u304c\u300c\u30d1\u30fc\u30bb\u30d7\u30c8\u30ed\u30f3\u300d\u3068\u3044\u3046\u6700\u521d\u671f\u306e\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u63d0\u6848\u3057\u307e\u3057\u305f\u3002<\/p>\n
1986\u5e74\u306b\u306f\u30d0\u30c3\u30af\u30d7\u30ed\u30d1\u30b2\u30fc\u30b7\u30e7\u30f3\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u304c\u518d\u767a\u898b\u3055\u308c\u3001\u305d\u306e\u5f8c\u306e\u6df1\u5c64\u5b66\u7fd2\u306e\u767a\u5c55\u306b\u5927\u304d\u304f\u5bc4\u4e0e\u3057\u307e\u3057\u305f\u3002<\/p>\n
\u4eca\u65e5\u306e\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3068\u305d\u306e\u5fdc\u7528\u306f\u3001\u5927\u91cf\u306e\u30c7\u30fc\u30bf\u3068\u9ad8\u6027\u80fd\u306a\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u30ea\u30bd\u30fc\u30b9\u306e\u5229\u7528\u53ef\u80fd\u6027\u3001\u3055\u3089\u306b\u6d3b\u6027\u5316\u95a2\u6570\u3084\u6b63\u5247\u5316\u624b\u6cd5\u306a\u3069\u306e\u6280\u8853\u7684\u9032\u6b69\u306b\u652f\u3048\u3089\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n
\u3053\u308c\u306b\u3088\u308a\u3001\u3055\u307e\u3056\u307e\u306a\u8907\u96d1\u306a\u30bf\u30b9\u30af\u3092\u9ad8\u7cbe\u5ea6\u3067\u5b9f\u884c\u3059\u308b\u3053\u3068\u304c\u53ef\u80fd\u306b\u306a\u3063\u3066\u3044\u307e\u3059\u3002<\/p>\n
\u4ee5\u4e0a\u304c\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u6982\u8981\u3068\u305d\u306e\u6839\u62e0\u306b\u3064\u3044\u3066\u306e\u8aac\u660e\u3067\u3059\u3002<\/p>\n
\u4f55\u304b\u5177\u4f53\u7684\u306a\u8cea\u554f\u3084\u8a73\u7d30\u304c\u5fc5\u8981\u3067\u3042\u308c\u3070\u3001\u3069\u3046\u305e\u3054\u76f8\u8ac7\u304f\u3060\u3055\u3044\u3002<\/p>\n
\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u4ed5\u7d44\u307f\u306f\u3069\u306e\u3088\u3046\u306b\u306a\u3063\u3066\u3044\u307e\u3059\u304b\uff1f
\n\u3082\u3061\u308d\u3093\u3067\u3059\u3002<\/p>\n
\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\uff08NN\uff09\u306f\u3001\u751f\u7269\u306e\u8133\u306e\u50cd\u304d\u306b\u7740\u60f3\u3092\u5f97\u305f\u6a5f\u68b0\u5b66\u7fd2\u306e\u4e00\u3064\u306e\u30e2\u30c7\u30eb\u3067\u3059\u3002<\/p>\n
\u305d\u306e\u57fa\u672c\u7684\u306a\u4ed5\u7d44\u307f\u3068\u6839\u62e0\u3092\u4ee5\u4e0b\u306b\u8a73\u3057\u304f\u8aac\u660e\u3057\u307e\u3059\u3002<\/p>\n
\u57fa\u672c\u69cb\u9020<\/p>\n
\u30ce\u30fc\u30c9\uff08\u30cb\u30e5\u30fc\u30ed\u30f3\uff09<\/p>\n
\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u57fa\u672c\u5358\u4f4d\u306f\u300c\u30ce\u30fc\u30c9\u300d\u307e\u305f\u306f\u300c\u30cb\u30e5\u30fc\u30ed\u30f3\u300d\u3068\u547c\u3070\u308c\u307e\u3059\u3002<\/p>\n
\u3053\u308c\u306f\u4eba\u9593\u306e\u8133\u306e\u30cb\u30e5\u30fc\u30ed\u30f3\u306b\u76f8\u5f53\u3057\u307e\u3059\u3002<\/p>\n
\u5c64\uff08Layer\uff09<\/p>\n
\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306f\u8907\u6570\u306e\u5c64\u304b\u3089\u6210\u308a\u7acb\u3063\u3066\u3044\u307e\u3059\u3002<\/p>\n
\u5177\u4f53\u7684\u306b\u306f\u3001\u5165\u529b\u5c64\uff08Input Layer\uff09\u3001\u96a0\u308c\u5c64\uff08Hidden Layer\uff09\u3001\u51fa\u529b\u5c64\uff08Output Layer\uff09\u3067\u3059\u3002<\/p>\n
\u5165\u529b\u5c64 \u30c7\u30fc\u30bf\u3092\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306b\u53d6\u308a\u8fbc\u3080\u5c64\u3067\u3059\u3002<\/p>\n
\u96a0\u308c\u5c64 \u5165\u529b\u30c7\u30fc\u30bf\u3092\u5909\u63db\u30fb\u7279\u5fb4\u62bd\u51fa\u3059\u308b\u5c64\u3067\u30011\u5c64\u4ee5\u4e0a\u542b\u307e\u308c\u308b\u3053\u3068\u304c\u591a\u3044\u3067\u3059\u3002<\/p>\n
\u51fa\u529b\u5c64 \u6700\u7d42\u7684\u306a\u51fa\u529b\u3092\u751f\u6210\u3059\u308b\u5c64\u3067\u3059\u3002<\/p>\n
\u91cd\u307f\uff08Weight\uff09\u3068\u30d0\u30a4\u30a2\u30b9\uff08Bias\uff09<\/p>\n
\u5404\u30ce\u30fc\u30c9\u306f\u305d\u308c\u305e\u308c\u306e\u91cd\u307f\u3068\u30d0\u30a4\u30a2\u30b9\u3092\u6301\u3063\u3066\u304a\u308a\u3001\u3053\u308c\u304c\u30c7\u30fc\u30bf\u306e\u5909\u5f62\u3068\u7279\u5fb4\u62bd\u51fa\u306e\u9375\u3067\u3059\u3002<\/p>\n
\u8a08\u7b97\u306e\u6d41\u308c<\/p>\n
\u5165\u529b\u30c7\u30fc\u30bf\u306e\u53d6\u308a\u8fbc\u307f<\/p>\n
\u5165\u529b\u5c64\u306b\u30c7\u30fc\u30bf\u304c\u6e21\u3055\u308c\u307e\u3059\u3002<\/p>\n
\u5404\u30ce\u30fc\u30c9\u304c\u305d\u308c\u305e\u308c\u306e\u5165\u529b\u5024\u3092\u53d7\u3051\u53d6\u308a\u307e\u3059\u3002<\/p>\n
\u91cd\u307f\u4ed8\u304d\u548c\u306e\u8a08\u7b97<\/p>\n
\u5404\u30ce\u30fc\u30c9\u306f\u3001\u5165\u529b\u5024\u306b\u5bfe\u3057\u3066\u91cd\u307f\u4ed8\u304d\u548c\u3092\u8a08\u7b97\u3057\u3001\u305d\u308c\u306b\u30d0\u30a4\u30a2\u30b9\u3092\u52a0\u3048\u308b\u3068\u3044\u3046\u8a08\u7b97\u3092\u884c\u3044\u307e\u3059\u3002<\/p>\n
\u3053\u306e\u5408\u8a08\u3092\u300c\u6d3b\u6027\u5316\u4f9b\u7d66\u300d\u3068\u547c\u3073\u307e\u3059\u3002<\/p>\n
\u6d3b\u6027\u5316\u95a2\u6570\uff08Activation Function\uff09<\/p>\n
\u6d3b\u6027\u5316\u95a2\u6570\u3092\u901a\u3058\u3066\u3001\u6d3b\u6027\u5316\u4f9b\u7d66\u3092\u975e\u7dda\u5f62\u5316\u3057\u307e\u3059\u3002<\/p>\n
\u3088\u304f\u4f7f\u308f\u308c\u308b\u6d3b\u6027\u5316\u95a2\u6570\u306b\u306f\u3001\u30b7\u30b0\u30e2\u30a4\u30c9\u95a2\u6570\u3001ReLU (Rectified Linear Unit)\u3001tanh \u95a2\u6570\u306a\u3069\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n
\u4f8b ReLU(x) = max(0, x)<\/p>\n
\u4f1d\u64ad<\/p>\n
\u6d3b\u6027\u5316\u95a2\u6570\u3092\u901a\u3063\u305f\u51fa\u529b\u306f\u3001\u6b21\u306e\u5c64\u306e\u5165\u529b\u30c7\u30fc\u30bf\u3068\u3057\u3066\u4f7f\u7528\u3055\u308c\u307e\u3059\u3002<\/p>\n
\u3053\u306e\u30d7\u30ed\u30bb\u30b9\u306f\u5168\u3066\u306e\u96a0\u308c\u5c64\u3068\u51fa\u529b\u5c64\u307e\u3067\u7e70\u308a\u8fd4\u3055\u308c\u307e\u3059\u3002<\/p>\n
\u51fa\u529b<\/p>\n
\u6700\u7d42\u7684\u306a\u51fa\u529b\u5c64\u304b\u3089\u5f97\u3089\u308c\u305f\u5024\u304c\u3001\u30e2\u30c7\u30eb\u306e\u4e88\u6e2c\u7d50\u679c\u3068\u306a\u308a\u307e\u3059\u3002<\/p>\n
\u5b66\u7fd2\u306e\u30d7\u30ed\u30bb\u30b9<\/p>\n
\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u5b66\u7fd2\u306f\u3001\u91cd\u307f\u3068\u30d0\u30a4\u30a2\u30b9\u306e\u8abf\u6574\u306b\u3088\u3063\u3066\u884c\u308f\u308c\u307e\u3059\u3002<\/p>\n
\u4ee5\u4e0b\u304c\u5b66\u7fd2\u306e\u30d7\u30ed\u30bb\u30b9\u3067\u3059\u3000<\/p>\n
\u30b3\u30b9\u30c8\u95a2\u6570\uff08\u640d\u5931\u95a2\u6570\uff09<\/p>\n
\u5b9f\u969b\u306e\u51fa\u529b\u3068\u4e88\u6e2c\u7d50\u679c\u3068\u306e\u5dee\u3092\u8a08\u7b97\u3057\u307e\u3059\u3002<\/p>\n
\u3053\u308c\u3092\u8a55\u4fa1\u3059\u308b\u57fa\u6e96\u3068\u3057\u3066\u30b3\u30b9\u30c8\u95a2\u6570\uff08\u4f8b \u5e73\u5747\u4e8c\u4e57\u8aa4\u5dee\u3001\u30af\u30ed\u30b9\u30a8\u30f3\u30c8\u30ed\u30d4\u30fc\u306a\u3069\uff09\u304c\u4f7f\u308f\u308c\u307e\u3059\u3002<\/p>\n
\u9006\u4f1d\u64ad\uff08Backpropagation\uff09<\/p>\n
\u8aa4\u5dee\u3092\u5404\u5c64\u306b\u9006\u65b9\u5411\u306b\u4f1d\u64ad\u3055\u305b\u3066\u3001\u5404\u91cd\u307f\u3068\u30d0\u30a4\u30a2\u30b9\u3092\u66f4\u65b0\u3059\u308b\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3067\u3059\u3002<\/p>\n
\u5177\u4f53\u7684\u306b\u306f\u3001\u9023\u9396\u30eb\u30fc\u30eb\uff08Chain Rule\uff09\u3092\u7528\u3044\u3066\u3001\u5404\u30ce\u30fc\u30c9\u306e\u91cd\u307f\u30fb\u30d0\u30a4\u30a2\u30b9\u306b\u5bfe\u3059\u308b\u30b3\u30b9\u30c8\u95a2\u6570\u306e\u52fe\u914d\u3092\u8a08\u7b97\u3057\u307e\u3059\u3002<\/p>\n
\u52fe\u914d\u964d\u4e0b\u6cd5\uff08Gradient Descent\uff09<\/p>\n
\u8a08\u7b97\u3055\u308c\u305f\u52fe\u914d\u3092\u57fa\u306b\u3001\u5404\u91cd\u307f\u3068\u30d0\u30a4\u30a2\u30b9\u3092\u8abf\u6574\u3057\u3066\u3001\u30b3\u30b9\u30c8\u3092\u6700\u5c0f\u5316\u3057\u307e\u3059\u3002<\/p>\n
\u3053\u308c\u304c\u5b66\u7fd2\u30b9\u30c6\u30c3\u30d7\u3067\u3059\u3002<\/p>\n
\u4f8b\u3048\u3070\u3001\u91cd\u307f ( W ) \u306e\u66f4\u65b0\u306f\u6b21\u306e\u3088\u3046\u306b\u884c\u3044\u307e\u3059 ( W{new} = W{old} – eta frac{partial L}{partial W} ) \u3053\u3053\u3067\u3001 ( eta ) \u306f\u5b66\u7fd2\u7387\u3001 ( frac{partial L}{partial W} ) \u306f\u30b3\u30b9\u30c8\u95a2\u6570\u306e\u52fe\u914d\u3067\u3059\u3002<\/p>\n
\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u7a2e\u985e<\/p>\n
\u30d5\u30a3\u30fc\u30c9\u30d5\u30a9\u30ef\u30fc\u30c9\u30cd\u30c3\u30c8\u30ef\u30fc\u30af<\/p>\n
\u60c5\u5831\u304c\u4e00\u65b9\u5411\u306b\u306e\u307f\u6d41\u308c\u308b\u3001\u57fa\u672c\u7684\u306a\u69cb\u9020\u306e\u30e2\u30c7\u30eb\u3067\u3059\u3002<\/p>\n
\u7573\u307f\u8fbc\u307f\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\uff08CNN\uff09<\/p>\n
\u4e3b\u306b\u753b\u50cf\u30c7\u30fc\u30bf\u306e\u51e6\u7406\u306b\u7279\u5316\u3057\u305f\u30e2\u30c7\u30eb\u3067\u3001\u7573\u307f\u8fbc\u307f\u5c64\u3084\u30d7\u30fc\u30ea\u30f3\u30b0\u5c64\u3092\u6301\u3063\u3066\u3044\u307e\u3059\u3002<\/p>\n
\u30ea\u30ab\u30ec\u30f3\u30c8\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\uff08RNN\uff09<\/p>\n
\u6642\u7cfb\u5217\u30c7\u30fc\u30bf\u3092\u6271\u3046\u305f\u3081\u306b\u958b\u767a\u3055\u308c\u305f\u30e2\u30c7\u30eb\u3067\u3001\u30eb\u30fc\u30d7\u69cb\u9020\u3092\u6301\u3063\u3066\u3044\u307e\u3059\u3002<\/p>\n
LSTM\u3084GRU\u3068\u3044\u3063\u305f\u6d3e\u751f\u30e2\u30c7\u30eb\u3082\u3042\u308a\u307e\u3059\u3002<\/p>\n
\u6839\u62e0\u3068\u7406\u8ad6<\/p>\n
\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u80cc\u5f8c\u306b\u306f\u591a\u304f\u306e\u6570\u5b66\u7684\u30fb\u7d71\u8a08\u7684\u7406\u8ad6\u304c\u5b58\u5728\u3057\u307e\u3059\u3002<\/p>\n
\u4ee5\u4e0b\u306f\u305d\u306e\u4e00\u90e8\u3067\u3059\u3002<\/p>\n
\u30e6\u30cb\u30d0\u30fc\u30b5\u30eb\u8fd1\u4f3c\u5b9a\u7406<\/p>\n
\u4efb\u610f\u306e\u9023\u7d9a\u95a2\u6570\u306f\u3001\u5341\u5206\u306a\u6570\u306e\u96a0\u308c\u5c64\u3068\u30ce\u30fc\u30c9\u3092\u6301\u3064\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306b\u3088\u3063\u3066\u4efb\u610f\u306e\u7cbe\u5ea6\u3067\u8fd1\u4f3c\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n
\u52fe\u914d\u964d\u4e0b\u6cd5<\/p>\n
\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u5b66\u7fd2\u306b\u4f7f\u7528\u3055\u308c\u308b\u3053\u306e\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306f\u3001\u6700\u9069\u5316\u554f\u984c\u3092\u89e3\u304f\u305f\u3081\u306e\u6a19\u6e96\u7684\u306a\u624b\u6cd5\u3067\u3059\u3002<\/p>\n
\u7d50\u8ad6<\/p>\n
\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306f\u3001\u5165\u529b\u30c7\u30fc\u30bf\u306b\u5bfe\u3057\u3066\u4e00\u9023\u306e\u91cd\u307f\u4ed8\u304d\u548c\u3068\u975e\u7dda\u5f62\u5909\u63db\u3092\u901a\u3058\u3066\u7279\u5fb4\u3092\u62bd\u51fa\u3057\u3001\u4e88\u6e2c\u3092\u884c\u3046\u5f37\u529b\u306a\u30e2\u30c7\u30eb\u3067\u3059\u3002<\/p>\n
\u305d\u306e\u6839\u62e0\u306b\u306f\u3001\u30e6\u30cb\u30d0\u30fc\u30b5\u30eb\u8fd1\u4f3c\u5b9a\u7406\u3084\u52fe\u914d\u964d\u4e0b\u6cd5\u306a\u3069\u3001\u6df1\u3044\u6570\u5b66\u7684\u7406\u8ad6\u304c\u5b58\u5728\u3057\u307e\u3059\u3002<\/p>\n
\u3053\u308c\u306b\u3088\u308a\u3001\u5e83\u7bc4\u306a\u5fdc\u7528\u5206\u91ce\u3067\u305d\u306e\u6027\u80fd\u304c\u5b9f\u8a3c\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n
\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306f\u3069\u306e\u3088\u3046\u306b\u5b66\u7fd2\u3057\u307e\u3059\u304b\uff1f
\n\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\uff08NN\uff09\u304c\u3069\u306e\u3088\u3046\u306b\u5b66\u7fd2\u3059\u308b\u304b\u306b\u3064\u3044\u3066\u8a73\u3057\u304f\u8aac\u660e\u3057\u307e\u3059\u3002<\/p>\n
\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u5b66\u7fd2\u30d7\u30ed\u30bb\u30b9\u306f\u3001\u5927\u307e\u304b\u306b\u4ee5\u4e0b\u306e\u30b9\u30c6\u30c3\u30d7\u3092\u542b\u307f\u307e\u3059\u3002<\/p>\n
1. \u30c7\u30fc\u30bf\u306e\u6e96\u5099<\/p>\n
\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u5b66\u7fd2\u306b\u5148\u7acb\u3063\u3066\u3001\u5927\u91cf\u306e\u30c7\u30fc\u30bf\u304c\u5fc5\u8981\u3067\u3059\u3002<\/p>\n
\u3053\u306e\u30c7\u30fc\u30bf\u306f\u3001\u300c\u5165\u529b\u30c7\u30fc\u30bf\u300d\u3068\u300c\u30bf\u30fc\u30b2\u30c3\u30c8\u30c7\u30fc\u30bf\uff08\u6b63\u89e3\u30c7\u30fc\u30bf\uff09\u300d\u306e\u30da\u30a2\u3067\u69cb\u6210\u3055\u308c\u307e\u3059\u3002<\/p>\n
\u4f8b\u3048\u3070\u3001\u753b\u50cf\u8a8d\u8b58\u30bf\u30b9\u30af\u306e\u5834\u5408\u3001\u5165\u529b\u30c7\u30fc\u30bf\u306f\u753b\u50cf\u81ea\u4f53\u3067\u3001\u30bf\u30fc\u30b2\u30c3\u30c8\u30c7\u30fc\u30bf\u306f\u305d\u306e\u753b\u50cf\u306b\u5bfe\u5fdc\u3059\u308b\u30e9\u30d9\u30eb\uff08\u4f8b\u3048\u3070\u3001\u72ac\u3084\u732b\uff09\u3067\u3059\u3002<\/p>\n
2. \u521d\u671f\u5316<\/p>\n
\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u5404\u91cd\u307f\u3092\u30e9\u30f3\u30c0\u30e0\u306b\u521d\u671f\u5316\u3057\u307e\u3059\u3002<\/p>\n
\u3053\u306e\u521d\u671f\u5316\u306f\u3001\u6975\u7aef\u306b\u5927\u304d\u306a\u6570\u5024\u3084\u5c0f\u3055\u306a\u6570\u5024\u3092\u907f\u3051\u3001\u901a\u5e38\u306f\u30ac\u30a6\u30b9\u5206\u5e03\u304b\u3089\u306e\u30e9\u30f3\u30c0\u30e0\u306a\u5024\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002<\/p>\n
\u9069\u5207\u306a\u521d\u671f\u5316\u306f\u5b66\u7fd2\u306e\u52b9\u7387\u3084\u5b89\u5b9a\u6027\u306b\u5927\u304d\u304f\u5f71\u97ff\u3057\u307e\u3059\u3002<\/p>\n
3. \u30d5\u30a9\u30ef\u30fc\u30c9\u30d7\u30ed\u30d1\u30b2\u30fc\u30b7\u30e7\u30f3\uff08\u9806\u4f1d\u64ad\uff09<\/p>\n
\u5165\u529b\u30c7\u30fc\u30bf\u304c\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306b\u4f9b\u7d66\u3055\u308c\u3001\u5404\u5c64\u3092\u901a\u3058\u3066\u8a08\u7b97\u304c\u884c\u308f\u308c\u307e\u3059\u3002<\/p>\n
\u5c64\u3054\u3068\u306b\u6b21\u306e\u8a08\u7b97\u304c\u884c\u308f\u308c\u307e\u3059\u3000<\/p>\n
[ text{\u51fa\u529b} = text{\u6d3b\u6027\u5316\u95a2\u6570}(text{\u91cd\u307f} cdot text{\u5165\u529b} + text{\u30d0\u30a4\u30a2\u30b9}) ]<\/p>\n
\u5404\u30cb\u30e5\u30fc\u30ed\u30f3\u306e\u51fa\u529b\u306f\u6b21\u306e\u5c64\u306e\u5165\u529b\u3068\u306a\u308a\u3001\u3053\u306e\u30d7\u30ed\u30bb\u30b9\u304c\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u6700\u7d42\u51fa\u529b\u5c64\u306b\u5230\u9054\u3059\u308b\u307e\u3067\u7e70\u308a\u8fd4\u3055\u308c\u307e\u3059\u3002<\/p>\n
4. \u30b3\u30b9\u30c8\u8a08\u7b97<\/p>\n
\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u51fa\u529b\u3068\u30bf\u30fc\u30b2\u30c3\u30c8\u30c7\u30fc\u30bf\uff08\u6b63\u89e3\u30e9\u30d9\u30eb\uff09\u3068\u306e\u5dee\u7570\u3092\u8a08\u7b97\u3057\u307e\u3059\u3002<\/p>\n
\u3053\u306e\u5dee\u7570\u3092\u300c\u640d\u5931\u95a2\u6570\u300d\uff08\u30b3\u30b9\u30c8\u95a2\u6570\u3068\u3082\u547c\u3070\u308c\u307e\u3059\uff09\u3092\u7528\u3044\u3066\u8a55\u4fa1\u3057\u307e\u3059\u3002<\/p>\n
\u4e00\u822c\u7684\u306a\u640d\u5931\u95a2\u6570\u306b\u306f\u3001\u56de\u5e30\u554f\u984c\u3067\u306f\u5e73\u5747\u4e8c\u4e57\u8aa4\u5dee\uff08MSE\uff09\u3001\u5206\u985e\u554f\u984c\u3067\u306f\u30af\u30ed\u30b9\u30a8\u30f3\u30c8\u30ed\u30d4\u30fc\u640d\u5931\u304c\u7528\u3044\u3089\u308c\u307e\u3059\u3002<\/p>\n
5. \u30d0\u30c3\u30af\u30d7\u30ed\u30d1\u30b2\u30fc\u30b7\u30e7\u30f3\uff08\u9006\u4f1d\u64ad\uff09<\/p>\n
\u640d\u5931\u95a2\u6570\u306e\u5024\u3092\u6700\u5c11\u5316\u3059\u308b\u305f\u3081\u306b\u3001\u91cd\u307f\u3068\u30d0\u30a4\u30a2\u30b9\u3092\u66f4\u65b0\u3057\u307e\u3059\u3002<\/p>\n
\u3053\u308c\u3092\u884c\u3046\u305f\u3081\u306b\u3001\u504f\u5fae\u5206\u3092\u7528\u3044\u3066\u5404\u30d1\u30e9\u30e1\u30fc\u30bf\u306b\u5bfe\u3059\u308b\u640d\u5931\u95a2\u6570\u306e\u52fe\u914d\uff08\u5fae\u5206\u4fc2\u6570\uff09\u3092\u8a08\u7b97\u3057\u307e\u3059\u3002<\/p>\n
\u5177\u4f53\u7684\u306b\u306f\u3001\u30c1\u30a7\u30fc\u30f3\u30eb\u30fc\u30eb\u3092\u7528\u3044\u3066\u5404\u5c64\u3092\u9006\u65b9\u5411\u306b\u9061\u308a\u306a\u304c\u3089\u52fe\u914d\u3092\u8a08\u7b97\u3057\u307e\u3059\u3002<\/p>\n
6. \u91cd\u307f\u306e\u66f4\u65b0<\/p>\n
\u52fe\u914d\u964d\u4e0b\u6cd5\uff08Gradient Descent\uff09\u3092\u4f7f\u7528\u3057\u3066\u3001\u91cd\u307f\u3068\u30d0\u30a4\u30a2\u30b9\u3092\u66f4\u65b0\u3057\u307e\u3059\u3002<\/p>\n
\u6700\u3082\u30b7\u30f3\u30d7\u30eb\u306a\u5f62\u5f0f\u306e\u52fe\u914d\u964d\u4e0b\u6cd5\u306f\u4ee5\u4e0b\u306e\u3088\u3046\u306b\u66f8\u304b\u308c\u307e\u3059\u3000<\/p>\n
[ W{text{new}} = W{text{old}} – eta nabla L ]<\/p>\n
\u3053\u3053\u3067\u3001( W )\u306f\u91cd\u307f\u3001(eta)\u306f\u5b66\u7fd2\u7387\u3001(nabla L)\u306f\u640d\u5931\u95a2\u6570\u306e\u52fe\u914d\u3067\u3059\u3002<\/p>\n
\u52fe\u914d\u964d\u4e0b\u6cd5\u306b\u306f\u3001\u30df\u30cb\u30d0\u30c3\u30c1\u52fe\u914d\u964d\u4e0b\u6cd5\u3084Adam\u306a\u3069\u306e\u6d3e\u751f\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3082\u5b58\u5728\u3057\u3001\u3053\u308c\u3089\u306f\u5b66\u7fd2\u306e\u52b9\u7387\u3084\u5b89\u5b9a\u6027\u3092\u5411\u4e0a\u3055\u305b\u307e\u3059\u3002<\/p>\n
7. \u7e70\u308a\u8fd4\u3057<\/p>\n
\u30b9\u30c6\u30c3\u30d73\u304b\u30896\u3092\u7e70\u308a\u8fd4\u3057\u307e\u3059\u3002<\/p>\n
\u591a\u304f\u306e\u5834\u5408\u3001\u5168\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306b\u5bfe\u3057\u30661\u56de\u306e\u30d5\u30a9\u30ef\u30fc\u30c9\u30d7\u30ed\u30d1\u30b2\u30fc\u30b7\u30e7\u30f3\u304a\u3088\u3073\u30d0\u30c3\u30af\u30d7\u30ed\u30d1\u30b2\u30fc\u30b7\u30e7\u30f3\u3092\u300c\u30a8\u30dd\u30c3\u30af\u300d\u3068\u547c\u3073\u307e\u3059\u3002<\/p>\n
\u8907\u6570\u30a8\u30dd\u30c3\u30af\u306b\u308f\u305f\u3063\u3066\u5b66\u7fd2\u3092\u7d9a\u3051\u308b\u3053\u3068\u3067\u3001\u30e2\u30c7\u30eb\u306e\u7cbe\u5ea6\u304c\u5411\u4e0a\u3057\u307e\u3059\u3002<\/p>\n
8. \u904e\u5b66\u7fd2\u306e\u9632\u6b62<\/p>\n
\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306f\u81a8\u5927\u306a\u6570\u306e\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u6301\u3064\u305f\u3081\u3001\u8a13\u7df4\u30c7\u30fc\u30bf\u306b\u904e\u5270\u306b\u30d5\u30a3\u30c3\u30c8\uff08\u904e\u5b66\u7fd2\uff09\u3059\u308b\u30ea\u30b9\u30af\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n
\u904e\u5b66\u7fd2\u3092\u9632\u3050\u305f\u3081\u306b\u3001\u4ee5\u4e0b\u306e\u30c6\u30af\u30cb\u30c3\u30af\u304c\u7528\u3044\u3089\u308c\u307e\u3059\u3000
\n– \u65e9\u671f\u505c\u6b62 \u691c\u8a3c\u30c7\u30fc\u30bf\u306e\u6027\u80fd\u304c\u6539\u5584\u3057\u306a\u304f\u306a\u3063\u305f\u30bf\u30a4\u30df\u30f3\u30b0\u3067\u8a13\u7df4\u3092\u505c\u6b62\u3057\u307e\u3059\u3002<\/p>\n
– \u30c9\u30ed\u30c3\u30d7\u30a2\u30a6\u30c8 \u5b66\u7fd2\u4e2d\u306b\u30e9\u30f3\u30c0\u30e0\u306b\u30cb\u30e5\u30fc\u30ed\u30f3\u3092\u7121\u52b9\u5316\u3059\u308b\u3053\u3068\u3067\u3001\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u304c\u7279\u5b9a\u306e\u30d1\u30b9\u306b\u4f9d\u5b58\u3057\u306a\u3044\u3088\u3046\u306b\u3057\u307e\u3059\u3002<\/p>\n
– \u6b63\u5247\u5316 L2\u6b63\u5247\u5316\u3084L1\u6b63\u5247\u5316\u3092\u7528\u3044\u3066\u640d\u5931\u95a2\u6570\u306b\u30da\u30ca\u30eb\u30c6\u30a3\u9805\u3092\u8ffd\u52a0\u3057\u3001\u91cd\u307f\u304c\u904e\u5927\u306b\u306a\u3089\u306a\u3044\u3088\u3046\u306b\u3057\u307e\u3059\u3002<\/p>\n
\u6839\u62e0<\/p>\n
\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u5b66\u7fd2\u30d7\u30ed\u30bb\u30b9\u306b\u95a2\u3059\u308b\u60c5\u5831\u306f\u3001\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u5b66\u8853\u7684\u306a\u6587\u732e\u3084\u5b9f\u7e3e\u306b\u57fa\u3065\u3044\u3066\u3044\u307e\u3059\u3000<\/p>\n
\u5b66\u8853\u66f8\u7c4d Ian Goodfellow\u3089\u306e\u300cDeep Learning\u300d\u306a\u3069\u3001\u591a\u304f\u306e\u5b66\u8853\u66f8\u7c4d\u304c\u3053\u306e\u30d7\u30ed\u30bb\u30b9\u3092\u8a73\u7d30\u306b\u8aac\u660e\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n
\u8ad6\u6587 \u4f8b\u3048\u3070\u3001\u30d0\u30c3\u30af\u30d7\u30ed\u30d1\u30b2\u30fc\u30b7\u30e7\u30f3\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306fRumelhart, Hinton, and Williams\u306b\u3088\u3063\u30661986\u5e74\u306b\u63d0\u6848\u3055\u308c\u3001\u5e83\u304f\u63a1\u7528\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n
\u5b9f\u7528\u7684\u6210\u529f\u4e8b\u4f8b \u8a08\u7b97\u6a5f\u30d3\u30b8\u30e7\u30f3\u3001\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\u3001\u97f3\u58f0\u8a8d\u8b58\u306a\u3069\u306e\u69d8\u3005\u306a\u5fdc\u7528\u5206\u91ce\u3067\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u304c\u9ad8\u3044\u6027\u80fd\u3092\u793a\u3057\u3066\u3044\u308b\u3053\u3068\u304c\u3001\u3053\u308c\u3089\u306e\u7406\u8ad6\u306e\u6709\u52b9\u6027\u3092\u88cf\u4ed8\u3051\u3066\u3044\u307e\u3059\u3002<\/p>\n
\u3053\u308c\u3089\u306e\u30b9\u30c6\u30c3\u30d7\u3068\u7406\u8ad6\u7684\u6839\u62e0\u304c\u7d44\u307f\u5408\u308f\u3055\u308b\u3053\u3068\u3067\u3001\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306f\u9a5a\u7570\u7684\u306a\u7cbe\u5ea6\u3092\u9054\u6210\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n
\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u5fdc\u7528\u4f8b\u306b\u306f\u3069\u3093\u306a\u3082\u306e\u304c\u3042\u308a\u307e\u3059\u304b\uff1f
\n\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306f\u6a5f\u68b0\u5b66\u7fd2\u3068\u4eba\u5de5\u77e5\u80fd\u306e\u4e00\u5206\u91ce\u3067\u3042\u308a\u3001\u3055\u307e\u3056\u307e\u306a\u5206\u91ce\u3067\u5e45\u5e83\u304f\u5fdc\u7528\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n
\u305d\u306e\u5fdc\u7528\u4f8b\u3068\u305d\u308c\u305e\u308c\u306e\u6839\u62e0\u306b\u3064\u3044\u3066\u8a73\u3057\u304f\u8aac\u660e\u3044\u305f\u3057\u307e\u3059\u3002<\/p>\n
1. \u753b\u50cf\u8a8d\u8b58<\/p>\n
\u5fdc\u7528\u4f8b
\n– \u30d5\u30a7\u30a4\u30b9\u30d6\u30c3\u30af\u306e\u9854\u8a8d\u8b58 \u5199\u771f\u306b\u5199\u3063\u3066\u3044\u308b\u4eba\u7269\u3092\u81ea\u52d5\u7684\u306b\u8a8d\u8b58\u3057\u30bf\u30b0\u4ed8\u3051\u3092\u884c\u3046\u6a5f\u80fd\u3002<\/p>\n
– \u81ea\u52d5\u904b\u8ee2 \u81ea\u52d5\u8eca\u306e\u30ab\u30e1\u30e9\u304b\u3089\u5f97\u3089\u308c\u308b\u6620\u50cf\u30c7\u30fc\u30bf\u3092\u89e3\u6790\u3057\u3001\u6b69\u884c\u8005\u3084\u4fe1\u53f7\u3001\u305d\u306e\u4ed6\u306e\u8eca\u4e21\u3092\u8a8d\u8b58\u3059\u308b\u3002<\/p>\n
\u6839\u62e0
\n\u753b\u50cf\u8a8d\u8b58\u306f\u7573\u307f\u8fbc\u307f\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\uff08CNN\uff09\u306e\u5f97\u610f\u5206\u91ce\u3067\u3059\u3002<\/p>\n
CNN\u306f\u7279\u306b\u753b\u50cf\u5185\u306e\u30d1\u30bf\u30fc\u30f3\u3084\u7279\u5fb4\u3092\u6355\u307e\u3048\u3084\u3059\u304f\u3001\u5b9f\u969b\u306e\u5b9f\u88c5\u3068\u5b9f\u9a13\u306b\u304a\u3044\u3066\u3082\u9ad8\u3044\u6027\u80fd\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n
\u3053\u306e\u6280\u8853\u306f\u591a\u304f\u306e\u7af6\u6280\u4f1a\uff08\u4f8b\u3048\u3070\u3001ImageNet\u5927\u898f\u6a21\u30d3\u30b8\u30e5\u30a2\u30eb\u8a8d\u8b58\u30c1\u30e3\u30ec\u30f3\u30b8\uff09\u3067\u305d\u306e\u52b9\u679c\u304c\u78ba\u8a8d\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n
2. \u81ea\u7136\u8a00\u8a9e\u51e6\u7406 (NLP)<\/p>\n
\u5fdc\u7528\u4f8b
\n– \u6a5f\u68b0\u7ffb\u8a33 Google\u7ffb\u8a33\u306e\u3088\u3046\u306a\u591a\u8a00\u8a9e\u9593\u306e\u7ffb\u8a33\u30b5\u30fc\u30d3\u30b9\u3002<\/p>\n
– \u30c1\u30e3\u30c3\u30c8\u30dc\u30c3\u30c8 \u9867\u5ba2\u30b5\u30dd\u30fc\u30c8\u3084\u5546\u8ac7\u306e\u521d\u671f\u5bfe\u5fdc\u306a\u3069\u306b\u5229\u7528\u3055\u308c\u308b\u5bfe\u8a71\u578b\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u3002<\/p>\n
\u6839\u62e0
\nNLP\u306b\u306f\u30ea\u30ab\u30ec\u30f3\u30c8\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\uff08RNN\uff09\u3084\u30c8\u30e9\u30f3\u30b9\u30d5\u30a9\u30fc\u30de\u30fc\u30e2\u30c7\u30eb\u304c\u7528\u3044\u3089\u308c\u307e\u3059\u3002<\/p>\n
\u7279\u306b\u30c8\u30e9\u30f3\u30b9\u30d5\u30a9\u30fc\u30de\u30fc\u30e2\u30c7\u30eb\u306f\u3001Attention\u30e1\u30ab\u30cb\u30ba\u30e0\u3092\u7528\u3044\u308b\u3053\u3068\u3067\u6587\u8108\u3092\u7406\u89e3\u3059\u308b\u80fd\u529b\u304c\u9ad8\u304f\u3001BERT\u3084GPT-3\u306a\u3069\u306e\u30e2\u30c7\u30eb\u3067\u305d\u306e\u52b9\u679c\u304c\u5b9f\u8a3c\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n
3. \u97f3\u58f0\u8a8d\u8b58<\/p>\n
\u5fdc\u7528\u4f8b
\n– \u30d0\u30fc\u30c1\u30e3\u30eb\u30a2\u30b7\u30b9\u30bf\u30f3\u30c8 Siri\u3084Google Assistant\u306a\u3069\u306e\u97f3\u58f0\u8a8d\u8b58\u3068\u5fdc\u7b54\u3092\u884c\u3046\u30b7\u30b9\u30c6\u30e0\u3002<\/p>\n
– \u97f3\u58f0\u6587\u5b57\u5909\u63db \u97f3\u58f0\u30c7\u30fc\u30bf\u3092\u30c6\u30ad\u30b9\u30c8\u30c7\u30fc\u30bf\u306b\u5909\u63db\u3059\u308b\u6280\u8853\u3067\u3001\u4f1a\u8b70\u9332\u97f3\u306e\u81ea\u52d5\u6587\u5b57\u8d77\u3053\u3057\u306a\u3069\u3002<\/p>\n
\u6839\u62e0
\n\u97f3\u58f0\u8a8d\u8b58\u306b\u3082RNN\u3084CTC\uff08Connectionist Temporal Classification\uff09\u3068\u3044\u3046\u6280\u8853\u304c\u4f7f\u308f\u308c\u307e\u3059\u3002<\/p>\n
\u3053\u308c\u306b\u3088\u308a\u3001\u97f3\u306e\u9023\u7d9a\u7684\u306a\u30c7\u30fc\u30bf\u3092\u6642\u7cfb\u5217\u3067\u51e6\u7406\u3057\u3001\u30c6\u30ad\u30b9\u30c8\u306b\u5909\u63db\u3059\u308b\u3053\u3068\u304c\u53ef\u80fd\u3067\u3059\u3002<\/p>\n
\u3053\u308c\u3089\u306e\u6280\u8853\u306f\u3001\u4f01\u696d\u306e\u97f3\u58f0\u8a8d\u8b58API\u30b5\u30fc\u30d3\u30b9\uff08\u4f8b\u3048\u3070\u3001IBM Watson\u3001Google Cloud Speech-to-Text\uff09\u306a\u3069\u3067\u305d\u306e\u6027\u80fd\u304c\u78ba\u8a8d\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n
4. \u533b\u7642\u3068\u30d8\u30eb\u30b9\u30b1\u30a2<\/p>\n
\u5fdc\u7528\u4f8b
\n– \u753b\u50cf\u8a3a\u65ad X\u7dda\u3084MRI\u753b\u50cf\u304b\u3089\u75c5\u5909\u3092\u81ea\u52d5\u7684\u306b\u691c\u51fa\u3059\u308b\u30b7\u30b9\u30c6\u30e0\u3002<\/p>\n
– \u907a\u4f1d\u5b50\u89e3\u6790 \u60a3\u8005\u306e\u907a\u4f1d\u5b50\u30c7\u30fc\u30bf\u3092\u57fa\u306b\u3001\u7279\u5b9a\u306e\u75be\u60a3\u30ea\u30b9\u30af\u3092\u4e88\u6e2c\u3002<\/p>\n
\u6839\u62e0
\n\u533b\u7642\u753b\u50cf\u89e3\u6790\u306b\u304a\u3044\u3066\u3082CNN\u304c\u91cd\u8981\u306a\u5f79\u5272\u3092\u679c\u305f\u3057\u307e\u3059\u3002<\/p>\n
\u4f8b\u3048\u3070\u3001\u76ae\u819a\u304c\u3093\u306e\u8a3a\u65ad\u306b\u304a\u3044\u3066\u306f\u3001\u4eba\u9593\u306e\u5c02\u9580\u533b\u3068\u307b\u307c\u540c\u7b49\u306e\u7cbe\u5ea6\u3067\u75c5\u5909\u3092\u691c\u51fa\u3067\u304d\u308b\u3053\u3068\u304c\u3044\u304f\u3064\u304b\u306e\u7814\u7a76\u3067\u793a\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n
\u307e\u305f\u3001\u907a\u4f1d\u5b50\u30c7\u30fc\u30bf\u306e\u89e3\u6790\u306b\u306f\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u304c\u9069\u7528\u3055\u308c\u3001\u7cbe\u5bc6\u306a\u4e88\u6e2c\u30e2\u30c7\u30eb\u304c\u69cb\u7bc9\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n
5. \u91d1\u878d\u5206\u91ce<\/p>\n
\u5fdc\u7528\u4f8b
\n– \u4e0d\u6b63\u691c\u77e5 \u30af\u30ec\u30b8\u30c3\u30c8\u30ab\u30fc\u30c9\u306e\u4e0d\u6b63\u53d6\u5f15\u3092\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u3067\u691c\u51fa\u3002<\/p>\n
– \u6295\u8cc7\u4e88\u6e2c \u5e02\u5834\u30c7\u30fc\u30bf\u3092\u89e3\u6790\u3057\u3066\u682a\u4fa1\u3084\u70ba\u66ff\u30ec\u30fc\u30c8\u306e\u4e88\u6e2c\u3092\u884c\u3046\u3002<\/p>\n
\u6839\u62e0
\n\u91d1\u878d\u5206\u91ce\u306e\u30c7\u30fc\u30bf\u89e3\u6790\u306b\u304a\u3044\u3066\u306f\u3001\u6642\u7cfb\u5217\u30c7\u30fc\u30bf\u3092\u6271\u3046LSTM\uff08Long Short-Term Memory\uff09\u3084GRU\uff08Gated Recurrent Unit\uff09\u3068\u3044\u3063\u305f\u30ea\u30ab\u30ec\u30f3\u30c8\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u304c\u591a\u7528\u3055\u308c\u307e\u3059\u3002<\/p>\n
\u4e0d\u6b63\u691c\u77e5\u306b\u306f\u3001\u6b63\u5e38\u306a\u53d6\u5f15\u30d1\u30bf\u30fc\u30f3\u3068\u4e0d\u6b63\u306a\u30d1\u30bf\u30fc\u30f3\u3092\u8b58\u5225\u3059\u308b\u76e3\u8996\u30b7\u30b9\u30c6\u30e0\u304c\u3042\u308a\u3001\u5927\u624b\u91d1\u878d\u6a5f\u95a2\u3067\u305d\u306e\u52b9\u679c\u304c\u5b9f\u8a3c\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n
6. \u30b2\u30fc\u30e0\u3068\u30a8\u30f3\u30bf\u30fc\u30c6\u30a4\u30f3\u30e1\u30f3\u30c8<\/p>\n
\u5fdc\u7528\u4f8b
\n– NPC\uff08\u30ce\u30f3\u30d7\u30ec\u30a4\u30e4\u30fc\u30ad\u30e3\u30e9\u30af\u30bf\u30fc\uff09\u306e\u884c\u52d5\u30e2\u30c7\u30eb \u30b2\u30fc\u30e0\u5185\u306e\u30ad\u30e3\u30e9\u30af\u30bf\u30fc\u304c\u3088\u308a\u30ea\u30a2\u30eb\u306a\u52d5\u304d\u3092\u3059\u308b\u305f\u3081\u306eAI\u3002<\/p>\n
– \u97f3\u697d\u751f\u6210 \u65e2\u5b58\u306e\u97f3\u697d\u30c7\u30fc\u30bf\u3092\u5b66\u7fd2\u3055\u305b\u3066\u3001\u65b0\u3057\u3044\u697d\u66f2\u3092\u81ea\u52d5\u751f\u6210\u3059\u308b\u3002<\/p>\n
\u6839\u62e0
\n\u30b2\u30fc\u30e0AI\u306b\u306f\u5f37\u5316\u5b66\u7fd2\u304c\u4f7f\u308f\u308c\u308b\u3053\u3068\u304c\u591a\u304f\u3001\u7279\u306bDeepMind\u306eAlphaGo\u3084AlphaStar\u306a\u3069\u306e\u30e2\u30c7\u30eb\u304c\u305d\u306e\u9ad8\u5ea6\u306a\u6226\u7565\u3068\u610f\u601d\u6c7a\u5b9a\u80fd\u529b\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n
\u307e\u305f\u3001\u97f3\u697d\u751f\u6210\u306b\u306f\u751f\u6210\u30e2\u30c7\u30eb\uff08\u4f8b\u3048\u3070\u3001GAN Generative Adversarial Networks\uff09\u304c\u5229\u7528\u3055\u308c\u3001\u5b9f\u969b\u306e\u97f3\u697d\u5236\u4f5c\u306b\u3082\u5fdc\u7528\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n
7. \u88fd\u9020\u3068\u7269\u6d41<\/p>\n
\u5fdc\u7528\u4f8b
\n– \u4e88\u77e5\u4fdd\u5168 \u6a5f\u5668\u306e\u6545\u969c\u3092\u4e88\u6e2c\u3057\u3001\u30e1\u30f3\u30c6\u30ca\u30f3\u30b9\u306e\u30bf\u30a4\u30df\u30f3\u30b0\u3092\u6700\u9069\u5316\u3002<\/p>\n
– \u9700\u8981\u4e88\u6e2c \u6d88\u8cbb\u8005\u306e\u9700\u8981\u3092\u4e88\u6e2c\u3057\u3066\u3001\u751f\u7523\u8a08\u753b\u3084\u5728\u5eab\u7ba1\u7406\u3092\u6700\u9069\u5316\u3002<\/p>\n
\u6839\u62e0
\n\u4e88\u77e5\u4fdd\u5168\u3084\u9700\u8981\u4e88\u6e2c\u306b\u306f\u3001\u81a8\u5927\u306a\u6b74\u53f2\u30c7\u30fc\u30bf\u3092\u89e3\u6790\u3059\u308b\u305f\u3081\u306e\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u30e2\u30c7\u30eb\u304c\u9069\u7528\u3055\u308c\u307e\u3059\u3002<\/p>\n
\u5b9f\u969b\u306e\u751f\u7523\u73fe\u5834\u3084\u7269\u6d41\u30bb\u30f3\u30bf\u30fc\u3067\u3053\u308c\u3089\u306e\u30e2\u30c7\u30eb\u304c\u5c0e\u5165\u3055\u308c\u3001\u904b\u7528\u52b9\u7387\u306e\u5411\u4e0a\u306b\u5bc4\u4e0e\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n
\u4ee5\u4e0a\u3001\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u5fdc\u7528\u4f8b\u306b\u3064\u3044\u3066\u8a73\u3057\u304f\u8aac\u660e\u3057\u307e\u3057\u305f\u3002<\/p>\n
\u5404\u5206\u91ce\u3067\u306e\u5b9f\u969b\u306e\u5c0e\u5165\u4e8b\u4f8b\u3068\u7814\u7a76\u6210\u679c\u304c\u305d\u306e\u52b9\u679c\u3092\u652f\u3048\u3066\u304a\u308a\u3001\u4eca\u5f8c\u3082\u3055\u3089\u306a\u308b\u767a\u5c55\u304c\u671f\u5f85\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n
\u3010\u8981\u7d04\u3011
\n\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\uff08Neural Network\uff09\u306f\u3001\u4eba\u5de5\u77e5\u80fd\u3084\u6a5f\u68b0\u5b66\u7fd2\u306e\u4e00\u5206\u91ce\u3067\u3042\u308a\u3001\u30d1\u30bf\u30fc\u30f3\u8a8d\u8b58\u3084\u30c7\u30fc\u30bf\u89e3\u6790\u3001\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\u3001\u753b\u50cf\u8a8d\u8b58\u306a\u3069\u306b\u7528\u3044\u3089\u308c\u307e\u3059\u3002\u751f\u7269\u306e\u795e\u7d4c\u7cfb\u3092\u6a21\u5023\u3057\u3001\u8907\u6570\u306e\u5c64\u3068\u7d50\u5408\u3055\u308c\u305f\u30cb\u30e5\u30fc\u30ed\u30f3\u304b\u3089\u69cb\u6210\u3055\u308c\u307e\u3059\u3002\u57fa\u672c\u7684\u306a\u69cb\u9020\u306f\u5165\u529b\u5c64\u3001\u96a0\u308c\u5c64\u3001\u51fa\u529b\u5c64\u306e3\u5c64\u3067\u6210\u308a\u7acb\u3061\u307e\u3059\u3002\u52d5\u4f5c\u539f\u7406\u306b\u306f\u3001\u5165\u529b\u30c7\u30fc\u30bf\u304c\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u901a\u904e\u3059\u308b\u30d5\u30a9\u30ef\u30fc\u30c9\u30d7\u30ed\u30d1\u30b2\u30fc\u30b7\u30e7\u30f3\u3068\u3001\u4e88\u6e2c\u7d50\u679c\u3068\u5b9f\u969b\u306e\u30e9\u30d9\u30eb\u3068\u306e\u8aa4\u5dee\u3092\u57fa\u306b\u91cd\u307f\u3092\u8abf\u6574\u3059\u308b\u30d0\u30c3\u30af\u30d7\u30ed\u30d1\u30b2\u30fc\u30b7\u30e7\u30f3\u304c\u3042\u308a\u307e\u3059\u3002\u6709\u540d\u306a\u7a2e\u985e\u306b\u306f\u5168\u7d50\u5408\u5c64\uff08Fully Connected Layer, FC\uff09\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"
\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3068\u306f\u4f55\u3067\u3059\u304b\uff1f \u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\uff08Neural Network\uff09\u306f\u3001\u4eba\u5de5\u77e5\u80fd\uff08AI\uff09\u3084\u6a5f\u68b0\u5b66\u7fd2\uff08Machine Learning\uff09\u306e\u4e00\u5206\u91ce\u3067\u3042\u308a\u3001\u7279\u306b\u30d1\u30bf\u30fc\u30f3\u8a8d\u8b58\u3084\u30c7\u30fc\u30bf\u89e3\u6790\u3001\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\u3001\u753b […]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":{"0":"post-1185","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-seo"},"_links":{"self":[{"href":"https:\/\/miniqr.com\/index.php?rest_route=\/wp\/v2\/posts\/1185","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/miniqr.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/miniqr.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/miniqr.com\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/miniqr.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1185"}],"version-history":[{"count":0,"href":"https:\/\/miniqr.com\/index.php?rest_route=\/wp\/v2\/posts\/1185\/revisions"}],"wp:attachment":[{"href":"https:\/\/miniqr.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1185"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/miniqr.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1185"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/miniqr.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1185"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}