{"id":48241,"date":"2018-04-11T18:53:05","date_gmt":"2018-04-11T09:53:05","guid":{"rendered":"https:\/\/www.sejuku.net\/blog\/?p=48241"},"modified":"2024-05-06T11:46:36","modified_gmt":"2024-05-06T02:46:36","slug":"%e3%80%90chainer%e5%85%a5%e9%96%80%e3%80%91deep-learning%e3%83%95%e3%83%ac%e3%83%bc%e3%83%a0%e3%83%af%e3%83%bc%e3%82%af%e3%80%81chainer%e3%81%ae%e4%bd%bf%e3%81%84%e6%96%b9%ef%bc%81","status":"publish","type":"post","link":"https:\/\/www.sejuku.net\/blog\/48241","title":{"rendered":"\u6df1\u5c64\u5b66\u7fd2\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3001Chainer\u306e\u4f7f\u3044\u65b9\u3092\u512a\u3057\u304f\u89e3\u8aac\uff01"},"content":{"rendered":"<p>Deep learning\u306e\u30e2\u30c7\u30eb\u30fb\u5b9f\u884c\u30b3\u30fc\u30c9\u3092<b>\u76f4\u611f\u7684\u306b\u8a18\u8ff0\u3067\u304d\u308b<\/b>Python\u306e\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3001Chainer\u306e\u4f7f\u3044\u65b9\u3092\u5b66\u3093\u3067\u3044\u304d\u307e\u3057\u3087\u3046\u3002Chainer\u306e\u4f7f\u3044\u65b9\u3092\u5b66\u3076\u3053\u3068\u3067\u3001\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u3084Deep learning\u306b\u3064\u3044\u3066\u3082\u7406\u89e3\u304c\u6df1\u307e\u308b\u3068\u601d\u3044\u307e\u3059\u3002\u3053\u306e\u8a18\u4e8b\u3067\u306f\u3001<\/p>\n<p>Chainer\u3092\u4f7f\u3063\u305f\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u306e\u5b9a\u7fa9\u306e\u4ed5\u65b9\u3084\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u306e\u5b9f\u884c\u30b3\u30fc\u30c9\uff08\u5b66\u7fd2\u7528\u30b3\u30fc\u30c9\uff09\u306e\u66f8\u304d\u65b9\u3068\u3044\u3046\u57fa\u672c\u7684\u306a\u5185\u5bb9\u304b\u3089\u3001<\/p>\n<div class=\"box01\">\n<ul>\n<li><b>Link\u30fbFunction\u30fbChain\u30fbVariable\u306e4\u3064\u306e\u6a5f\u80fd\u306e\u7d39\u4ecb<\/b><\/li>\n<li><b>Chainer\u3092GPU\u4e0a\u3067\u4f7f\u3046\u65b9\u6cd5<\/b><\/li>\n<\/ul>\n<p><\/div><br \/>\n\u306a\u3069\u306e\u767a\u5c55\u7684\u306a\u5185\u5bb9\u306b\u3064\u3044\u3066\u3082\u89e3\u8aac\u3057\u3066\u3044\u304d\u307e\u3059\u3002\u3053\u308c\u3089\u3092\u5b66\u3076\u3053\u3068\u3067\u3001\u57fa\u672c\u7684\u306aChainer\u306e\u4f7f\u3044\u65b9\u304c\u308f\u304b\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3059\uff01\u3053\u306e\u8a18\u4e8b\u3092\u8aad\u3093\u3067\u3001\u4e00\u7dd2\u306bChainer\u306e\u52c9\u5f37\u3092\u59cb\u3081\u307e\u3057\u3087\u3046\uff01<\/p>\n<p>\u306a\u304a\u3001Python\u306e\u8a18\u4e8b\u306b\u3064\u3044\u3066\u306f\u3001<a href=\"https:\/\/www.sejuku.net\/blog\/147190\" target=\"_blank\" rel=\"noopener\">\u3053\u3061\u3089<\/a>\u306b\u307e\u3068\u3081\u3066\u3044\u307e\u3059\u3002<\/p>\n<h2>\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\/\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u3068\u306f<\/h2>\n<p>\u307e\u305a\u306fDeep learning\u3068\u306f\u4f55\u306a\u306e\u304b\u3001\u306b\u3064\u3044\u3066\u6574\u7406\u3057\u3066\u3044\u304d\u307e\u3057\u3087\u3046\u3002\u52d5\u7269\u306e\u8133\u306e\u30cb\u30e5\u30fc\u30ed\u30f3\u306e\u69d8\u306b\u3001\u6c4e\u7528\u7684\u306a\u6a5f\u80fd\u3092\u3082\u3063\u305f\u6a5f\u68b0\u304c\u3042\u308c\u3070\u4fbf\u5229\u3067\u3059\u3088\u306d\u3002\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306f\u8133\u306e\u30cb\u30e5\u30fc\u30ed\u30f3\u306e\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u4ed5\u7d44\u307f\u3092\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30fc\u306e\u4e0a\u3067\u518d\u73fe\u3057\u305f\u30e2\u30c7\u30eb\u3067\u3059\u3002<\/p>\n<p><img decoding=\"async\" class=\"aligncenter size-full wp-image-47542\" src=\"https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/04\/20161006215219.png\" alt=\"20161006215219\" width=\"380\" height=\"305\" srcset=\"https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/04\/20161006215219.png 380w, https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/04\/20161006215219-150x120.png 150w, https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/04\/20161006215219-300x241.png 300w\" sizes=\"(max-width: 380px) 100vw, 380px\" \/><br \/>\n<div class=\"img-caption\">\u5f15\u7528\u5143\uff1aHatena Blog(\u4e09\u5c64\u306e\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u56f3 <a href=\"http:\/\/nkdkccmbr.hateblo.jp\/entry\/2016\/10\/06\/222245\" target=\"_blank\" rel=\"noopener noreferrer\">\u00a0http:\/\/nkdkccmbr.hateblo.jp\/entry\/2016\/10\/06\/222245<\/div><\/a><\/p>\n<p>\u4e0a\u306e\u56f3\u306f\u3001\u4e09\u5c64\u306e\u5358\u7d14\u306a\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u30a4\u30e1\u30fc\u30b8\u56f3\u3067\u3059\u3002\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30fc\u4e0a\u3067\u518d\u73fe\u3055\u308c\u308b\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306f\u3001\u30c7\u30fc\u30bf\u3092\u5165\u529b\u5c64\uff08l-1\u5c64\uff09\u3067\u53d7\u3051\u53d6\u308a\u3001\u96a0\u308c\u5c64\uff08l\u5c64\uff09\u3092\u901a\u308a\u3001\u51fa\u529b\u5c64\uff08l+1\u5c64\uff09\u304b\u3089\u7b54\u3048\u3092\u8fd4\u3059\u69d8\u306b\u4f5c\u3089\u308c\u3066\u3044\u307e\u3059\u3002\u3053\u306e\u30e2\u30c7\u30eb\u3092\u4f7f\u3063\u3066\u3001\u76ee\u7684\u306e\u30bf\u30b9\u30af\u306e\u7b54\u3048\u3092\u51fa\u3057\u3066\u304f\u308c\u308b\u95a2\u6570\u3092\u8fd1\u4f3c\u3057\u307e\u3059\u3002<\/p>\n<p>\u3067\u3059\u304c\u6b8b\u5ff5\u306a\u304c\u3089\u3001\u4eba\u9593\u306e\u8133\u306e\u3088\u3046\u306a\u632f\u308b\u821e\u3044\u304c\u5b8c\u5168\u306b\u3067\u304d\u308b\u308f\u3051\u3067\u306f\u3042\u308a\u307e\u305b\u3093\u3002\u307e\u305f\u3001\u30b9\u30bf\u30fc\u30c8\u5730\u70b9\u304c\u3069\u3046\u3042\u308c\u3001\u73fe\u5728\u306e\u6700\u65b0\u306e\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30fb\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u306e\u7814\u7a76\u3067\u306f\u8133\u3092\u518d\u73fe\u3059\u308b\u4e8b\u306b\u3053\u3060\u308f\u3089\u305a\u3001\u69d8\u3005\u306a\u7814\u7a76\u5206\u91ce\u306e\u6280\u8853\u304c\u5fdc\u7528\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u3068\u547c\u3070\u308c\u308b\u30e2\u30c7\u30eb\u306f\u3001\u305d\u3093\u306a\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u3088\u308a\u6df1\u304f\uff08\u9577\u304f\uff09\u3057\u3066\u3001\u6027\u80fd\u3092\u5411\u4e0a\u3055\u305b\u305f\u3082\u306e\u306e\u7dcf\u79f0\u306a\u3093\u3067\u3059\u3002<\/p>\n<p><img decoding=\"async\" class=\"aligncenter size-full wp-image-47544\" src=\"https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/04\/20161006215612.png\" alt=\"20161006215612\" width=\"287\" height=\"468\" srcset=\"https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/04\/20161006215612.png 287w, https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/04\/20161006215612-92x150.png 92w, https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/04\/20161006215612-184x300.png 184w\" sizes=\"(max-width: 287px) 100vw, 287px\" \/><br \/>\n<div class=\"img-caption\">\u5f15\u7528\u5143\uff1aHatena \u3000Blog\u3000\u4eba\u5de5\u77e5\u80fd\u3067\u904a\u3076\u3000\u5c64\u306e\u6df1\u3044\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u56f3\u3000<a href=\"http:\/\/nkdkccmbr.hateblo.jp\/entry\/2016\/10\/06\/222245\" target=\"_blank\" rel=\"noopener noreferrer\">http:\/\/nkdkccmbr.hateblo.jp\/entry\/2016\/10\/06\/222245<\/div><\/a><\/p>\n<p>\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\uff08\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\uff09\u3067\u306f\u3001<b>\u6b63\u3057\u3044\u7b54\u3048\u3068\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u306e\u4e88\u6e2c\u3057\u305f\u7b54\u3048\u3068\u306e\u8aa4\u5dee<\/b>\u306a\u3069\u3092\u640d\u5931\u95a2\u6570\u3068\u547c\u3073\u307e\u3059\u3002\u3053\u306e\u640d\u5931\u95a2\u6570\u306e\u5024\u304c\u5c0f\u3055\u304f\u306a\u308b\u3088\u3046\u306b\u3001\u30d1\u30e9\u30e1\u30fc\u30bf\u306e\u5024\u3092\u5909\u3048\u3066\u3044\u304f\u4e8b\u3053\u3068\u3067\u3001\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u3092\u5b66\u7fd2\uff08\u30d1\u30e9\u30e1\u30fc\u30bf\u306e\u6700\u9069\u5316\uff09\u3055\u305b\u308b\u4e8b\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n<h2>Chainer\u3068\u306f<\/h2>\n<p>\u6b21\u306fPython\u3067Deep learning\/Neural Nets\u306e\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u66f8\u304f\u305f\u3081\u306e\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3001Chainer\u306b\u3064\u3044\u3066\u6574\u7406\u3057\u307e\u3057\u3087\u3046\u3002<\/p>\n<p><img decoding=\"async\" class=\"aligncenter size-full wp-image-47545\" src=\"https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/04\/20160303204155.png\" alt=\"20160303204155\" width=\"512\" height=\"512\" srcset=\"https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/04\/20160303204155.png 512w, https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/04\/20160303204155-150x150.png 150w, https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/04\/20160303204155-300x300.png 300w\" sizes=\"(max-width: 512px) 100vw, 512px\" \/><br \/>\n<div class=\"img-caption\">\u5f15\u7528\u5143\uff1a\u00a0Preferred Networks\u3000<a href=\"https:\/\/www.preferred-networks.jp\/ja\/pfn-logo\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/www.preferred-networks.jp\/ja\/pfn-logo<\/div><\/a><\/p>\n<p>Chainer\u306b\u3064\u3044\u3066\u306f\u5192\u982d\u3067\u3082\u89e6\u308c\u307e\u3057\u305f\u306d\u3002\u56fd\u7523\u306eDeep learning\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3067\u3001\u3068\u3066\u3082\u76f4\u611f\u7684\u306bDeep learning\u306e\u30b3\u30fc\u30c9\u3092\u66f8\u304f\u4e8b\u304c\u3067\u304d\u308b\u3053\u3068\u304b\u3089\u3001\u305f\u304f\u3055\u3093\u306e\u4eba\u304c\u5229\u7528\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>\u3053\u306e\u76f4\u611f\u7684\u306b\u66f8\u3051\u308b\u3001\u3068\u3044\u3046\u306e\u306fPython\u306e\u30b3\u30fc\u30c9\u3092\u305d\u306e\u307e\u307e\u66f8\u304f\u3060\u3051\u3067Deep learning\u306e\u30e2\u30c7\u30eb\u304c\u4f5c\u6210\u3067\u304d\u3001\u305d\u306e\u4e0aGPU\u3092\u4f7f\u3063\u305f\u9ad8\u901f\u5316\u307e\u3067\u3067\u304d\u3066\u3057\u307e\u3046\u3068\u3044\u3046\u3053\u3068\u3067\u3059\u3002<\/p>\n<p>Python\u306e\u4e0a\u306b\u30df\u30cb\u8a00\u8a9e\u3092\u5b9f\u88c5\u3057\u3066\u3001\u305d\u306e\u4e2d\u3067\u30b3\u30fc\u30c9\u3092\u66f8\u304f\u30bf\u30a4\u30d7\u306e\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3082\u3042\u308a\u307e\u3059\u3002Chainer\u3067\u306f\u305d\u308c\u3089\u306b\u6bd4\u3079\u3001\u5b66\u7fd2\u30b3\u30b9\u30c8\u306e\u5c0f\u3055\u3055\u3001\u30c7\u30d0\u30c3\u30b0\u306e\u3057\u3084\u3059\u3055\u3001\u306a\u3069\u306e\u70b9\u306b\u304a\u3044\u3066\u512a\u308c\u3066\u3044\u308b\u3068\u601d\u3044\u307e\u3059\u3002<\/p>\n<p>\u308f\u304b\u3089\u306a\u3044\u3053\u3068\u304c\u3042\u3063\u305f\u6642\u306b\u3001\u30a4\u30f3\u30bf\u30fc\u30cd\u30c3\u30c8\u3067\u8abf\u3079\u308c\u3070\u65e5\u672c\u8a9e\u306e\u60c5\u5831\u304c\u305f\u304f\u3055\u3093\u898b\u3064\u304b\u308a\u307e\u3059\u3057\u3001\u30d0\u30b0\u306e\u4fee\u6b63\u3084\u6700\u65b0\u6280\u8853\u3078\u306e\u5bfe\u5fdc\u3082\u983b\u7e41\u306b\u884c\u308f\u308c\u3066\u3044\u308b\u3093\u3067\u3059\u3002\u305d\u3046\u3044\u3046\u70b9\u306b\u304a\u3044\u3066\u3082\u3001Chainer\u306f\u30aa\u30b9\u30b9\u30e1\u3067\u3059\u3002\u4f8d\u30a8\u30f3\u30b8\u30cb\u30a2\u30d6\u30ed\u30b0\u3067\u3082\u3001Chainer\u306b\u3064\u3044\u3066\u6ce8\u76ee\u3057\u3066\u89e3\u8aac\u8a18\u4e8b\u3092\u51fa\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>            <a href=\"https:\/\/www.sejuku.net\/blog\/42488\" class=\"blog-card-anchor\">\n                <div class=\"blog-card\">\n                <div class=\"blog-card-content\">\n                    <div class=\"blog-card-thumbnail\">\n                    <img decoding=\"async\" class=\"blog-card-thumbnail-img\" src=\"https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/01\/42488-150x86.jpg\">\n                    <\/div>\n                    <div class=\"blog-card-title-wrap\">\n                    <div class=\"blog-card-title\">Chainer\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u65b9\u6cd5\u3092\u308f\u304b\u308a\u3084\u3059\u304f\u89e3\u8aac\uff5cMac\u30fbLinux\u30fbWindows<\/div>\n                    <div class=\"blog-card-update-date\">\u66f4\u65b0\u65e5\uff1a2024\u5e745\u67086\u65e5<\/div>\n                    <\/div>\n                <\/div>\n                <\/div>\n            <\/a>\n            <br \/>\n<\/p>\n<p>\u30ea\u30f3\u30af\u3092\u30c1\u30a7\u30c3\u30af\u3057\u3066\u3001Chainer\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u3066\u307f\u3066\u304f\u3060\u3055\u3044\u3002\u6b21\u306e\u7ae0\u304b\u3089\u306f\u5b9f\u969b\u306b\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u52d5\u304b\u3057\u3066\u307f\u307e\u3059\u3002\u662f\u975e\u8a66\u3057\u3066\u307f\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n<h2>Chainer\u306e\u6a5f\u80fd<\/h2>\n<p>\u305d\u308c\u3067\u306fChainer\u306e\u6a5f\u80fd\u3092\u898b\u3066\u3044\u304d\u307e\u3057\u3087\u3046\u3002\u3053\u3053\u3067\u306fChainer\u304c\u63d0\u4f9b\u3057\u3066\u3044\u308b\u4fbf\u5229\u306a\u6a5f\u80fd\u306e\u3001\u4ee3\u8868\u7684\u306a\u3082\u306e\u3092\u307e\u3068\u3081\u3066\u7d39\u4ecb\u3057\u307e\u3059\u3002<\/p>\n<h3>Link\u3068Function<\/h3>\n<p>\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u3067\u306fWeight\uff08\u7d50\u5408\u91cd\u307f\uff09\u3068Bias\u3068\u3044\u3046\uff12\u3064\u306e\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u4f7f\u3063\u3066\u3001\u76ee\u7684\u306e\u5024\u3092\u51fa\u529b\u3059\u308b\u95a2\u6570\u306b\u8fd1\u3044\u3082\u306e\u3092\u4f5c\u308a\u307e\u3059\u3002\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u76ee\u7684\u95a2\u6570\u3092\u76ee\u5370\u306b\u66f4\u65b0\u3057\u3066\u3044\u304f\u3053\u3068\u304c\u3001\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u306e\u5b66\u7fd2\u3067\u3059\u3002<\/p>\n<p>\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u306e\u56f3\u3092\u898b\u3066\u307f\u308b\u3068\u3001\u3042\u308b\u5c64\u306e\u30cb\u30e5\u30fc\u30ed\u30f3\u3068\u3001\u305d\u306e\u5c64\u306b\u96a3\u308a\u5408\u3063\u305f\u5c64\u306e\u30cb\u30e5\u30fc\u30ed\u30f3\u304c\u7e4b\u304c\u3063\u3066\u3044\u308b\u4e8b\u304c\u308f\u304b\u308a\u307e\u3059\u3002\u3053\u306e\u30cb\u30e5\u30fc\u30ed\u30f3\u540c\u58eb\u306e\u3064\u306a\u304c\u308a\u306f\u3001\u305d\u308c\u305e\u308c\u3064\u306a\u304c\u308a\u306e\u5f37\u3055\u304c\u9055\u3044\u307e\u3059\u3002\u3053\u306e\u3064\u306a\u304c\u308a\u306e\u5f37\u3055\u306e\u4e8b\u304cWeight\u3067\u3059\u3002<\/p>\n<p>\u305d\u3057\u3066\u3001\u56f3\u3067\u306f\u7701\u7565\u3055\u308c\u3066\u3044\u307e\u3059\u304c\u3001\u3042\u308b\u5c64\u306e\u30cb\u30e5\u30fc\u30ed\u30f3\u306e\u51fa\u529b\u3068Weight\u3068\u3092\u639b\u3051\u5408\u308f\u305b\u305f\u5024\u306b\u305f\u3060\u8db3\u3057\u3066\u3042\u3052\u308b\u30d1\u30e9\u30e1\u30fc\u30bf\u3068\u3057\u3066\u3001Bias\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<p>\u3053\u308c\u3089\u306e\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u6301\u3063\u305f\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u306e\u95a2\u6570\u3092\u3001Chainer\u3067\u306fLink\u3068\u547c\u3073\u307e\u3059\u3002Link\u306fimport\u306e\u969b\u306bL\u3068\u3044\u3046\u540d\u524d\u306b\u3057\u3066\u3042\u3052\u307e\u3057\u3087\u3046\u3002Chainer\u3092\u4f7f\u3046\u3068\u304d\u306e\u7d04\u675f\u3067\u3059\u3002<\/p>\n<pre class=\"lang:python decode:true\">import chainer.links as L<\/pre>\n<p>\u307e\u305f\u3001\u5165\u529b\u3055\u308c\u305f\u4fe1\u53f7\u3092\u53d7\u3051\u3066\u3001\u30cb\u30e5\u30fc\u30ed\u30f3\u304c\u767a\u706b\u3059\u308b\u304b\u3069\u3046\u304b\u3092\u771f\u4f3c\u305f\u95a2\u6570\u3068\u3057\u3066\u3001\u6d3b\u6027\u5316\u95a2\u6570\u3068\u3044\u3046\u3082\u306e\u3092\u4f7f\u3044\u307e\u3059\u3002\u6d3b\u6027\u5316\u95a2\u6570\u306b\u306f\u30d1\u30e9\u30e1\u30fc\u30bf\u304c\u7121\u3044\u306e\u3067\u3001\u3053\u308c\u3089\u306fLink\u3067\u306f\u7121\u3044\u3067\u3059\u306d\u3002<\/p>\n<p>\u3053\u306e\u3088\u3046\u306a\u95a2\u6570\u3092Chainer\u3067\u306fFunction\u3068\u3057\u3066\u307e\u3068\u3081\u3066\u3044\u307e\u3059\u3002\u3053\u308c\u3082\u7d04\u675f\u3067import\u306e\u969b\u306bF\u3068\u3044\u3046\u540d\u524d\u306b\u3057\u3066\u3042\u3052\u307e\u3057\u3087\u3046\u3002<\/p>\n<pre class=\"lang:python decode:true\">import chainer.functions as F<\/pre>\n<p>\u3053\u308c\u3089\u306f\u30d7\u30ed\u30b0\u30e9\u30e0\u306e\u6700\u521d\u3067import\u3057\u3066\u3042\u3052\u308b\u3068\u7dba\u9e97\u3067\u3059\u3002<\/p>\n<h3>Chain\u3068\u306f<\/h3>\n<p>Link\u3084Function\u3092\u307e\u3068\u3081\u3066\u7ba1\u7406\u3059\u308b\u306e\u304cChain\u3067\u3059\u3002Chain\u306f\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u3092\u5b9f\u88c5\u3059\u308b\u30af\u30e9\u30b9\u306e\u89aa\u30af\u30e9\u30b9\u3068\u3057\u3066\u63d0\u4f9b\u3055\u308c\u3066\u3044\u308b\u306e\u3067\u3001\u81ea\u5206\u3067\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u3092\u5b9f\u88c5\u3059\u308b\u6642\u306b\u5fc5\u305a\u4f7f\u3044\u307e\u3059\u3002\u3053\u308c\u3092\u7d99\u627f\u3059\u308b\u3053\u3068\u3067\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u3092\u5b9f\u88c5\u3059\u308b\u6642\u306b\u3042\u308b\u3068\u4fbf\u5229\u306a\u6a5f\u80fd\u306e\u3042\u308c\u3053\u308c\u304c\u7c21\u5358\u306b\u4f7f\u3048\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3059\uff01<\/p>\n<p>\u7d99\u627f\u306f\u4ee5\u4e0b\u306e\u3088\u3046\u306b\u3001\u30af\u30e9\u30b9\u306e\u6a2a\u306b\u30ab\u30c3\u30b3\u3067\u89aa\u30af\u30e9\u30b9\u3092\u66f8\u3044\u3066\u3042\u3052\u308c\u3070OK\u3067\u3059\u3002<\/p>\n<pre class=\"lang:default decode:true\">class MyNeuralNet(chainer.Chain):<\/pre>\n<p>\u6b21\u306e\u7ae0\u3067\u5b9f\u969b\u306b\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u3092\u5b9f\u88c5\u3057\u307e\u3059\u306e\u3067\u3001Chain\u306e\u8a73\u3057\u3044\u4f7f\u3044\u65b9\u306f\u305d\u3053\u3067\u78ba\u8a8d\u3057\u307e\u3057\u3087\u3046\uff01<\/p>\n<h3>Variable\u3068\u306f<\/h3>\n<p>\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u306e\u5b66\u7fd2\u306e\u969b\u306b\u3001\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u66f4\u65b0\u3059\u308b\u5024\u3092\u6c7a\u3081\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002Chainer\u3067\u306f\u3001\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u306b\u30c7\u30fc\u30bf\u304c\u5165\u308c\u3089\u308c\u3066\u304b\u3089\u51fa\u529b\u3092\u8fd4\u3059\u307e\u3067\u306e\u8a08\u7b97\u306e\u6d41\u308c\uff08\uff1d\u30d5\u30a9\u30ef\u30fc\u30c9\u30d7\u30ed\u30d1\u30b2\u30fc\u30b7\u30e7\u30f3\uff09\u3092\u8a08\u7b97\u30b0\u30e9\u30d5\u3068\u3057\u3066\u8a18\u9332\u3057\u3001\u3053\u308c\u3092\u9006\u306b\u8fbf\u308b\u3053\u3068\u3067\u81ea\u52d5\u7684\u306b\u884c\u306a\u3063\u3066\u304f\u308c\u307e\u3059\u3002<\/p>\n<p>\u81ea\u5206\u3067\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u306e\u5b66\u7fd2\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3067\u3042\u308b\u3001\u30d0\u30c3\u30af\u30d7\u30ed\u30d1\u30b2\u30fc\u30b7\u30e7\u30f3\uff08\u8aa4\u5dee\u9006\u4f1d\u64ad\u6cd5\uff09\u3092\u5b9f\u88c5\u3059\u308b\u5fc5\u8981\u304c\u7121\u3044\u306e\u306f\u5b09\u3057\u3044\u3067\u3059\u306d\u3002\u3053\u308c\u3092\u5b9f\u73fe\u3059\u308b\u305f\u3081\u306b\u3001Variable\u3068\u3044\u3046\u6a5f\u80fd\u3092\u4f7f\u3044\u307e\u3059\u3002<\/p>\n<p>\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u306e\u5b66\u7fd2\u6642\u306b\u4f7f\u3046\u6559\u5e2b\u30c7\u30fc\u30bf\u306a\u3069\u306e\u5024\u306f\u3001\u5168\u3066Variable\u3068\u3044\u3046\u30af\u30e9\u30b9\u306b\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u5fd8\u308c\u306a\u3044\u3088\u3046\u306b\u3057\u307e\u3057\u3087\u3046\u3002<\/p>\n<h2>\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u306e\u5b9f\u884c\u30b3\u30fc\u30c9\u3092\u66f8\u3044\u3066\u307f\u3088\u3046\uff01<\/h2>\n<p>\u3067\u306f\u5b9f\u969b\u306b\u3001\u7c21\u5358\u306a\u5b9f\u9a13\u3092\u901a\u3057\u3066\u3001\u4e09\u5c64\u306e\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u306eChainer\u5b9f\u88c5\u3092\u898b\u3066\u3044\u304d\u307e\u3057\u3087\u3046\u3002\u3053\u3053\u3067\u306f\u30a2\u30e4\u30e1\u306e\u82b1\u306e\u5206\u985e\u554f\u984c\u3092\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u3067\u89e3\u304d\u307e\u3059\u3002\u4ee5\u4e0b\u306e\u3088\u3046\u306b\u30e9\u30a4\u30d6\u30e9\u30ea\u3092import\u3057\u307e\u3057\u3087\u3046\u3002<\/p>\n<pre class=\"lang:python decode:true\"># \u307e\u305a\u306fchainer\u306eimport\r\nfrom chainer import Chain, optimizers, Variable\r\nimport chainer.functions as F\r\nimport chainer.links as L\r\n\r\n# \u6b21\u306fnumpy\u306eimport\r\nimport numpy as np\r\n\r\n# sklearn\u306eimport\r\nfrom sklearn import datasets, model_selection\r\n\r\n# \u53ef\u8996\u5316\u30e9\u30a4\u30d6\u30e9\u30ea\u306eimport\r\nimport seaborn as sns \r\nimport matplotlib.pyplot as plt<\/pre>\n<p>\u4e0a\uff13\u3064\u306fChainer\u95a2\u9023\u306eimport\u3067\u3059\u3002\u3053\u308c\u4ee5\u5916\u306b\u3082\u305f\u304f\u3055\u3093\u306e\u6a5f\u80fd\u304c\u3042\u308a\u307e\u3059\u304c\u3001\u3053\u3053\u3067\u306f\u7c21\u5358\u306e\u305f\u3081\u306b\u3053\u308c\u3089\u3060\u3051\u3092import\u3057\u3066\u304a\u304d\u307e\u3059\u3002<\/p>\n<h3>\u307e\u305a\u306f\u30c7\u30fc\u30bf\u3092\u77e5\u308d\u3046<\/h3>\n<p>\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u306b\u9650\u3089\u305a\u3001\u6a5f\u68b0\u5b66\u7fd2\u3092\u4f7f\u3063\u305f\u30c7\u30fc\u30bf\u89e3\u6790\u3084\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u306e\u958b\u767a\u3067\u306f\u3001\u307e\u305a\u6700\u521d\u306b\u5bfe\u8c61\u306e\u30c7\u30fc\u30bf\u306e\u7279\u6027\u3092\u77e5\u308b\u4e8b\u304c\u91cd\u8981\u3067\u3059\u3002\u30a2\u30e4\u30e1\u306e\u82b1\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\uff08iris dataset\uff09\u306b\u306f\u3001\uff13\u3064\u306e\u30af\u30e9\u30b9\u304c\u3042\u308a\u3001\u305d\u308c\u305e\u308c50\u500b\u305a\u3064\u30c7\u30fc\u30bf\u304c\u3042\u308a\u307e\u3059\u3002\u305d\u308c\u305e\u308c\u306e\u30c7\u30fc\u30bf\u306f4\u3064\u306e\u7279\u5fb4\u3092\u6301\u3063\u3066\u3044\u307e\u3059\u3002<\/p>\n<div class=\"box01\">\n<ul>\n<li><b>\u304c\u304f\u7247\u306e\u9577\u3055<\/b><\/li>\n<li><b>\u304c\u304f\u7247\u306e\u5e45<\/b><\/li>\n<li><b>\u82b1\u5f01\u306e\u9577\u3055<\/b><\/li>\n<li><b>\u82b1\u5f01\u306e\u82b1<\/b><\/li>\n<\/ul>\n<\/div>\n<p>\u306e4\u3064\u3067\u3059\u3002\u3053\u308c\u304b\u3089\u6311\u6226\u3059\u308b\u306e\u306f\u4e0e\u3048\u3089\u308c\u305f\u30c7\u30fc\u30bf\u304c\u3069\u306e\u30af\u30e9\u30b9\u306e\u3082\u306e\u306a\u306e\u304b\u3092\u5f53\u3066\u308b\u554f\u984c\u306b\u306a\u308a\u307e\u3059\u3002\u30c7\u30fc\u30bf\u306e\u5168\u4f53\u50cf\u3092\u77e5\u308b\u305f\u3081\u306b\u3001\u7c21\u5358\u306a\u53ef\u8996\u5316\u3092\u884c\u3044\u307e\u3059\u3002Jupyter notebook\u3084IPython\u306e\u4e0a\u3067\u3001\u4ee5\u4e0b\u306e\u30b3\u30fc\u30c9\u3092\u5b9f\u884c\u3057\u3066\u307f\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n<pre class=\"lang:python decode:true\">iris_df = sns.load_dataset(\"iris\")\r\nsns.pairplot(iris_df, hue=\"species\")<\/pre>\n<p>\u3059\u308b\u3068\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u30b0\u30e9\u30d5\u304c\u8868\u793a\u3055\u308c\u308b\u3068\u601d\u3044\u307e\u3059\u3002<\/p>\n<p><img decoding=\"async\" class=\"aligncenter size-large wp-image-48458\" src=\"https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/04\/iris_data_plot-640x572.png\" alt=\"iris_data_plot\" width=\"640\" height=\"572\" srcset=\"https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/04\/iris_data_plot-640x572.png 640w, https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/04\/iris_data_plot-150x134.png 150w, https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/04\/iris_data_plot-300x268.png 300w, https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/04\/iris_data_plot.png 797w\" sizes=\"(max-width: 640px) 100vw, 640px\" \/><div class=\"img-caption\">\u5f15\u7528\u5143\uff1a ensae_teaching_cs <a href=\"http:\/\/www.xavierdupre.fr\/app\/ensae_teaching_cs\/helpsphinx\/notebooks\/td2a_eco_regressions_lineaires.html\" target=\"_blank\" rel=\"noopener noreferrer\">http:\/\/www.xavierdupre.fr\/app\/ensae_teaching_cs\/helpsphinx\/notebooks\/td2a_eco_regressions_lineaires.html<\/a><\/div><\/p>\n<p>\u3053\u308c\u3067iris dataset\u306e\u30c7\u30fc\u30bf\u306e\u7279\u6027\u304c\u308f\u304b\u308a\u3084\u3059\u304f\u306a\u308a\u307e\u3057\u305f\u306d\u3002\u30b0\u30e9\u30d5\u304b\u3089\u5206\u304b\u308b\u5185\u5bb9\u3092\u7c21\u5358\u306b\u3055\u3089\u3063\u3066\u307f\u307e\u3057\u3087\u3046\u3002<b>\u9752\u3001\u30aa\u30ec\u30f3\u30b8\u3001\u7dd1<\/b>\u306e\u305d\u308c\u305e\u308c\u306e\u70b9\u306f<b>3\u3064\u306e\u30af\u30e9\u30b9\u306e\u30c7\u30fc\u30bf<\/b>\u3092\u8868\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>\u3053\u306e\u30b0\u30e9\u30d5\u306b\u3088\u308b\u3068\u3001\u6bd4\u8f03\u7684\u9752\u306e\u30c7\u30fc\u30bf\u306f\u4ed6\u306e\uff12\u30af\u30e9\u30b9\u3068\u7dba\u9e97\u306b\u5225\u308c\u3066\u3044\u308b\u4e8b\u304c\u308f\u304b\u308a\u307e\u3059\u3002\u9006\u306b\u3001\u7dd1\u3068\u30aa\u30ec\u30f3\u30b8\u306e\u30c7\u30fc\u30bf\u306f\u3069\u306e\u7279\u5fb4\u306e\u7d44\u307f\u5408\u308f\u305b\u3067\u3082\u5c11\u3057\u88ab\u3063\u3066\u3044\u308b\u3068\u3053\u308d\u304c\u3042\u308b\u3088\u3046\u3067\u3059\u3002\u3053\u306e\u30b0\u30e9\u30d5\u306b\u3088\u308a\u3001\u5c11\u3057\u7dd1\u3068\u30aa\u30ec\u30f3\u30b8\u306e\u8b58\u5225\u306f\u96e3\u3057\u3044\u304b\u306a\uff1f\u3068\u3044\u3046\u76ee\u6e2c\u304c\u7acb\u3066\u3089\u308c\u307e\u3059\u3002<\/p>\n<h3>\u4e09\u5c64\u306e\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u306e\u5b9f\u88c5<\/h3>\n<p>\u305d\u308c\u3067\u306firis\u30c7\u30fc\u30bf\u306e\u30af\u30e9\u30b9\u5206\u985e\u3092\u884c\u3046\u305f\u3081\u306b\u3001\uff13\u30af\u30e9\u30b9\u306e\u8b58\u5225\u3092\u884c\u3046\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u3092\u5b9f\u88c5\u3057\u307e\u3059\u3002\u5206\u985e\u3057\u305f\u3044\u30c7\u30fc\u30bf\u304c\u3069\u306e\u30af\u30e9\u30b9\u306b\u5272\u308a\u5f53\u3066\u3089\u308c\u308b\u306e\u304b\u3092\u3001\u6700\u671f\u306e\u5c64\u306e\u51fa\u529b\u3067\u78ba\u7387\u3068\u3057\u3066\u51fa\u305b\u308c\u3070\u308f\u304b\u308a\u3084\u3059\u3044\u3067\u3059\u306d\u3002\u5b9f\u88c5\u30b3\u30fc\u30c9\u306f\u4ee5\u4e0b\u306e\u3088\u3046\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n<pre class=\"lang:python decode:true\">class MLP(Chain):\r\n    \"\"\" \u4e09\u5c64\u306e\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\uff08MLP\uff09\r\n    \"\"\"\r\n    def __init__(self, n_hid=100, n_out=10):\r\n        # Chainer.Chain\u30af\u30e9\u30b9\u3092\u7d99\u627f\u3057\u3066\u3001Chain\u30af\u30e9\u30b9\u306e\u6a5f\u80fd\u3092\u4f7f\u3046\u305f\u3081\u306bsuper\u95a2\u6570\u3092\u4f7f\u3046\r\n        super().__init__()\r\n        <b>\r\n        # \u7d50\u5408\u91cd\u307f\uff08weight\uff09\u3084\u30d0\u30a4\u30a2\u30b9\uff08bias\uff09\u306a\u3069\u306e\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u6301\u3064\u95a2\u6570\u3092\u5b9a\u7fa9\r\n        with self.init_scope():\r\n            self.l1 = L.Linear(None, n_hid)\r\n            self.l2 = L.Linear(n_hid, n_out)\r\n\r\n    def __call__(self, x):\r\n        hid = F.relu(self.l1(x))\r\n        return self.l2(hid)<\/b><\/pre>\n<p>\u3053\u308c\u3060\u3051\u306a\u3093\u3067\u3059\u3002\u77ed\u304f\u3066\u8aad\u307f\u3084\u3059\u3044\u3068\u601d\u3044\u307e\u305b\u3093\u304b\uff1f\u4e0a\u304b\u3089\u4e00\u7dd2\u306b\u8aad\u307f\u89e3\u3044\u3066\u3044\u304d\u307e\u3057\u3087\u3046\u3002\u307e\u305a\u306f1\u884c\u76ee\u3001\u3053\u3053\u3067MLP\u30af\u30e9\u30b9\u3092\u5ba3\u8a00\u3057\u307e\u3059\u3002\u89aa\u30af\u30e9\u30b9\u306bChain\u3092\u6307\u5b9a\u3059\u308b\u4e8b\u3092\u5fd8\u308c\u306a\u3044\u3088\u3046\u306b\u3002\u6b21\u306b__init__\u306e\u4e2d\u3067\u3001super\u95a2\u6570\u3092\u4f7f\u3044\u89aa\u30af\u30e9\u30b9\u306e__init__\u3092\u547c\u3073\u51fa\u3057\u307e\u3059\u3002<\/p>\n<p>__init__\u306f\u521d\u671f\u5316\u3092\u884c\u3063\u3066\u304f\u308c\u308b\u30e1\u30bd\u30c3\u30c9\u3067\u3057\u305f\u306d\u3002with self.init_scope():\u306e\u30d6\u30ed\u30c3\u30af\u3067\u306fLink\u3092\u5b9a\u7fa9\u3057\u307e\u3059\u3002\u305d\u3057\u3066\u30d5\u30a9\u30ef\u30fc\u30c9\u30d7\u30ed\u30d1\u30b2\u30fc\u30b7\u30e7\u30f3\u3092\u5b9f\u88c5\u3059\u308b__call__\u3067\u3059\u3002__call__\u306b\u66f8\u3044\u305f\u30b3\u30fc\u30c9\u306f\u3001\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3092\u95a2\u6570\u3068\u3057\u3066\u4f7f\u3046\u3068\u547c\u3073\u51fa\u3055\u308c\u307e\u3059\u3002<\/p>\n<p>\u4e2d\u3067\u884c\u3063\u3066\u3044\u308b\u51e6\u7406\u306f\u4ee5\u4e0b\u306e\u3068\u304a\u308a\u3067\u3059\u3002<\/p>\n<div class=\"box01\">\n<ul>\n<li><b>__call__\u306e\u5f15\u6570x\u306b\u5165\u529b\u30c7\u30fc\u30bf\u3092\u6e21\u3057\u307e\u3059<\/b><\/li>\n<li><b>x\u3092\u5168\u7d50\u5408\u5c64self.l1\u306b\u901a\u3057\u3066Wx+b\u3092\u8a08\u7b97\u3002<\/b><\/li>\n<li><b>\u30e9\u30f3\u30d7\u95a2\u6570F.relu\u3092\u4f7f\u3044\u3001\u975e\u7dda\u5f62\u306e\u5909\u63db\u3092\u884c\u3046\u3002<\/b><\/li>\n<li><b>\u96a0\u308c\u5c64\u306e\u51fa\u529bhid\u3092\u5168\u7d50\u5408\u76f8self.l2\u306b\u901a\u3057\u3066Wx+b\u3092\u8a08\u7b97\u3002<\/b><\/li>\n<\/ul>\n<\/div>\n<p>\u3053\u3053\u3067\u3001\u4e2d\u9593\u5c64\u3067\u4f7f\u3063\u305f\u30e9\u30f3\u30d7\u95a2\u6570\uff08relu\uff09\u3068\u306f\u3001\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u52d5\u304d\u3092\u3059\u308b\u95a2\u6570\u3067\u3059\u3002<\/p>\n<p><img decoding=\"async\" class=\"aligncenter size-full wp-image-48653\" src=\"https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/04\/relu.png\" alt=\"relu\" width=\"378\" height=\"252\" srcset=\"https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/04\/relu.png 378w, https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/04\/relu-150x100.png 150w, https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/04\/relu-300x200.png 300w\" sizes=\"(max-width: 378px) 100vw, 378px\" \/><div class=\"img-caption\">\u753b\u50cf\uff1a\u30e9\u30f3\u30d7\u95a2\u6570\uff08relu\uff09\u306e\u56f3<\/div><\/p>\n<p>\u5165\u529b\u304c0\u4ee5\u4e0b\u306a\u30890\u306b\u7f6e\u304d\u63db\u3048\u305f\u5024\u3092\u8fd4\u3057\u3066\u304f\u308c\u308b\u975e\u7dda\u5f62\u95a2\u6570\u3067\u3059\u3002\u3053\u308c\u304c\u96a0\u308c\u5c64\u306e\u6d3b\u6027\u5316\u95a2\u6570\u3068\u3057\u3066\u4f7f\u308f\u308c\u307e\u3059\u3002\u307e\u305f\u3001\u672c\u6765\u306a\u3089\u3070\u51fa\u529b\u5c64\u306e\u6d3b\u6027\u5316\u95a2\u6570\u3068\u3057\u3066softmax\u95a2\u6570\u3092\u4f7f\u3044\u307e\u3059\u3002<\/p>\n<p>\u3067\u3059\u304cChainer\u3067\u306fsoftmax\u95a2\u6570\u306b\u5165\u308c\u308b\u524d\u306e\u5024\u3092\u53d7\u3051\u53d6\u308b\u640d\u5931\u95a2\u6570\u304c\u7528\u610f\u3055\u308c\u3066\u3044\u307e\u3059\u306e\u3067\u3001\u3053\u3053\u3067\u306f\u7701\u7565\u3057\u3066\u3044\u307e\u3059\u3002\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n<h3>\u5b9f\u884c\u30b3\u30fc\u30c9\u3092\u66f8\u3044\u3066\u307f\u3088\u3046<\/h3>\n<p>Chainer\u3067\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u306e\u30e2\u30c7\u30eb\u3092\u5b9f\u88c5\u3059\u308b\u3068\u3001\u305d\u308c\u3060\u3051\u3067\u307b\u3068\u3093\u3069\u5b9f\u884c\u306f\u5b8c\u4e86\u3067\u3059\u3002\u81ea\u52d5\u5fae\u5206\u306e\u5b9f\u88c5\u3055\u308c\u305fChainer\u3067\u306f\u3001\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u306e\u30d5\u30a9\u30ef\u30fc\u30c9\u30d7\u30ed\u30d1\u30b2\u30fc\u30b7\u30e7\u30f3\u3092\u5b9f\u88c5\u3057\u3066\u304a\u3051\u3070\u3001\u30d0\u30c3\u30af\u30d7\u30ed\u30d1\u30b2\u30fc\u30b7\u30e7\u30f3\u306e\u5b9f\u88c5\u306f\u3044\u3089\u306a\u3044\u3068\u5148\u307b\u3069\u7d39\u4ecb\u3057\u307e\u3057\u305f\u306d\u3002<\/p>\n<p>\u305d\u308c\u3067\u306f\u5b9f\u969b\u306e\u30c7\u30fc\u30bf\u3092\u4f7f\u3063\u3066\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u3092\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\uff08\u5b66\u7fd2\uff09\u3057\u3066\u307f\u307e\u3057\u3087\u3046\u3002\u30b3\u30fc\u30c9\u4e2d\u306b\u30b3\u30e1\u30f3\u30c8\u3092\u66f8\u304d\u8fbc\u307f\u307e\u3057\u305f\u3002\u4e00\u884c\u305a\u3064\u8aad\u3093\u3067\u307f\u3066\u304f\u3060\u3055\u3044\u3002\u307e\u305a\u306f\u5b66\u7fd2\u30b9\u30c6\u30c3\u30d7\u306e\u524d\u307e\u3067\u3067\u3059\u3002<\/p>\n<pre class=\"lang:python decode:true\"># sklearn\u3067iris\u30c7\u30fc\u30bf\u3092\u8aad\u307f\u8fbc\u307f\r\niris = datasets.load_iris()\r\n\r\n# \u30c7\u30fc\u30bf\u3092\u6559\u5e2b\u30c7\u30fc\u30bf\u3001\u30c6\u30b9\u30c8\u30c7\u30fc\u30bf\u3001\u6559\u5e2b\u30c7\u30fc\u30bf\u306e\u6b63\u89e3\u30af\u30e9\u30b9\u3001\u30c6\u30b9\u30c8\u30c7\u30fc\u30bf\u306e\u6b63\u89e3\u30af\u30e9\u30b9\u306b\u5206\u5272\r\ntrain_data, test_data, train_label, test_label = model_selection.train_test_split(iris.data.astype(np.float32), iris.target)\r\n\r\n# \u5148\u7a0b\u4f5c\u3063\u305f\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u306e\u30e6\u30cb\u30c3\u30c8\u6570\u3092\u6307\u5b9a\u3057\u3066\u3001\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3092\u4f5c\u308a\u307e\u3059\u3002\r\nmodel = MLP(20, 3)\r\n\r\n# \u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u306e\u5b66\u7fd2\u65b9\u6cd5\u3092\u6307\u5b9a\u3057\u307e\u3059\u3002SGD\u306f\u6700\u3082\u5358\u7d14\u306a\u3082\u306e\u3067\u3059\u3002\r\noptimizer = optimizers.SGD()\r\n\r\n# \u5b66\u7fd2\u3055\u305b\u305f\u3044\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u6301\u3063\u305fChain\u3092\u30aa\u30d7\u30c6\u30a3\u30de\u30a4\u30b6\u30fc\u306b\u30bb\u30c3\u30c8\u3057\u307e\u3059\u3002\r\noptimizer.setup(model)\r\n\r\n# data\u3092Variable\u306b\u5909\u63db\u3057\u307e\u3059\u3002\r\ntrain_data_variable = Variable(train_data.astype(np.float32))\r\ntrain_label_variable = Variable(train_label.astype(np.int32))<\/pre>\n<p>\u6b21\u306b\u3001\u5b66\u7fd2\u30b9\u30c6\u30c3\u30d7\u3067\u3059\u3002<\/p>\n<pre class=\"lang:python decode:true\"># \u5b66\u7fd2\u306e\u69d8\u5b50\u3092\u8a18\u9332\u3059\u308b\u305f\u3081\u306b\u3001\u30ea\u30b9\u30c8\u3092\u4f5c\u3063\u3066\u304a\u304d\u307e\u3059\u3002\r\nloss_log = []\r\n# \u5b66\u7fd2\u30b9\u30c6\u30c3\u30d7\u3067\u3059\u3002\u3053\u3053\u3067\u306f200\u56de\u884c\u3044\u307e\u3059\u3002\r\nfor epoch in range(200):\r\n    # \u30d1\u30e9\u30e1\u30fc\u30bf\u306e\u52fe\u914d\u3092\u521d\u671f\u5316\r\n    model.cleargrads()\r\n    # \u30d5\u30a9\u30ef\u30fc\u30c9\u30d7\u30ed\u30d1\u30b2\u30fc\u30b7\u30e7\u30f3\r\n    prod_label = model(train_data_variable)\r\n    # \u640d\u5931\u95a2\u6570\u3092\u8a08\u7b97\r\n    loss = F.softmax_cross_entropy(prod_label, train_label_variable)\r\n    # \u640d\u5931\u95a2\u6570\u306e\u5024\u3092\u5143\u306b\u3001\u30d1\u30e9\u30e1\u30fc\u30bf\u306e\u66f4\u65b0\u91cf\u3092\u8a08\u7b97\r\n    loss.backward()\r\n    # \u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u66f4\u65b0\r\n    optimizer.update()\r\n\r\n    # \u640d\u5931\u95a2\u6570\u306e\u5024\u3092\u4fdd\u5b58\u3057\u3066\u304a\u304d\u307e\u3057\u3087\u3046\u3002\u5f8c\u3067\u78ba\u8a8d\u3067\u304d\u307e\u3059\u3002\r\n    loss_log.append(loss.data)\r\n<\/pre>\n<p>\u5b66\u7fd2\u6642\u306e\u640d\u5931\u95a2\u6570\u306e\u52d5\u304d\u3092\u898b\u3066\u307f\u307e\u3057\u3087\u3046\u3002\u3053\u306e\u5024\u304c\u5c0f\u3055\u304f\u306a\u308b\u3088\u3046\u306b\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u5b66\u7fd2\u3055\u305b\u307e\u3057\u305f\u3002<\/p>\n<pre class=\"lang:python decode:true\">plt.plot(loss_log)<\/pre>\n<p><img decoding=\"async\" class=\"aligncenter size-full wp-image-48667\" src=\"https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/04\/training_log.png\" alt=\"training_log\" width=\"375\" height=\"252\" srcset=\"https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/04\/training_log.png 375w, https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/04\/training_log-150x101.png 150w, https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2018\/04\/training_log-300x202.png 300w\" sizes=\"(max-width: 375px) 100vw, 375px\" \/><div class=\"img-caption\">\u753b\u50cf\uff1a\u640d\u5931\u95a2\u6570\u306e\u52d5\u304d\u56f3<\/div><\/p>\n<p>\u7dba\u9e97\u306b\u5024\u304c\u6e1b\u5c11\u3057\u3066\u3044\u307e\u3059\u306d\uff01\u5b66\u7fd2\u306f\u3046\u307e\u304f\u3044\u3063\u305f\u3088\u3046\u3067\u3059\u3002\u3067\u306f\u6b21\u306b\u3001\u30c6\u30b9\u30c8\u30c7\u30fc\u30bf\u3092\u4f7f\u3063\u3066\u8a8d\u8b58\u7387\u3092\u78ba\u8a8d\u3057\u307e\u3059\u3002<\/p>\n<pre class=\"lang:python decode:true\"># \u30c6\u30b9\u30c8\u30c7\u30fc\u30bf\u3092Varible\u306b\u3057\u307e\u3057\u3087\u3046\r\ntest_data_variable = Variable(test_data.astype(np.float32))\r\n\r\n# \u30d5\u30a9\u30ef\u30fc\u30c9\u30d7\u30ed\u30d1\u30b2\u30fc\u30b7\u30e7\u30f3\r\ny = model(test_data_variable)\r\n\r\n# Softmax\u95a2\u6570\u3067\u30af\u30e9\u30b9\u78ba\u7387\u3092\u51fa\u3057\u307e\u3059\r\ny = F.softmax(y)\r\n\r\n# \uff13\u30af\u30e9\u30b9\u4e2d\u3067\u4e00\u756a\u78ba\u7387\u306e\u5927\u304d\u3044\u3082\u306e\u3092\u30c7\u30fc\u30bf\u304c\u5272\u308a\u5f53\u3066\u3089\u308c\u305f\u30af\u30e9\u30b9\u3068\u3057\u307e\u3059\r\npred_label = np.argmax(y.data, 1)\r\n\r\n# \u6b63\u7b54\u7387\u3092\u8a08\u7b97\r\nacc = np.sum(pred_label == test_label) \/ np.sum(test_label)\r\n\r\nprint(acc)<\/pre>\n<p>[\u51fa\u529b\u7d50\u679c]<\/p>\n<pre class=\"lang:default decode:true\">0.9459459459459459<\/pre>\n<p>\u3053\u308c\u3067\u3001\u3053\u3053\u3067\u4f5c\u3063\u305f\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u306firis\u30c7\u30fc\u30bf\u3092\u7d0494\uff05\u6b63\u3057\u304f\u5206\u985e\u3067\u304d\u305f\u4e8b\u304c\u308f\u304b\u308a\u307e\u3057\u305f\u3002\u304a\u75b2\u308c\u69d8\u3067\u3059\u3002\u3053\u308c\u3067\u3042\u306a\u305f\u306fChainer\u3068\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u3092\u30de\u30b9\u30bf\u30fc\u3059\u308b\u7b2c\u4e00\u6b69\u3092\u8e0f\u307f\u51fa\u3057\u307e\u3057\u305f\uff01<\/p>\n<h3>GPU\u3067\u5b9f\u884c\u3059\u308b\u306b\u306f<\/h3>\n<p>Deep learning\u3084\u30d3\u30c3\u30b0\u30c7\u30fc\u30bf\u306a\u3069\u306b\u5bfe\u5fdc\u3059\u308b\u305f\u3081\u306b\u306f\u3001\u8a08\u7b97\u306e\u9ad8\u901f\u5316\u304c\u5fc5\u8981\u3067\u3059\u3002\u305d\u3053\u3067\u6ce8\u76ee\u3055\u308c\u3066\u3044\u308b\u306e\u304cGPU\u3067\u3059\u3002CPU\u306e\u4f55\u676f\u3082\u9ad8\u901f\u306a\u8a08\u7b97\u304c\u3067\u304d\u308bGPU\u306f\u3001Deep learning\u306b\u306f\u5fc5\u9808\u306e\u30d1\u30fc\u30c4\u3067\u3059\u3002<\/p>\n<p>\u3082\u3061\u308d\u3093Chainer\u3067\u3082\u3001GPU\u306b\u5bfe\u5fdc\u3057\u305f\u30d7\u30ed\u30b0\u30e9\u30e0\u304c\u66f8\u3051\u307e\u3059\u3002\u5177\u4f53\u7684\u306b\u306f\u3001Chainer\u304c\u88cf\u3067\u4f7f\u3063\u3066\u3044\u308b\u6570\u5024\u8a08\u7b97\u30e9\u30a4\u30d6\u30e9\u30ea\u3092Numpy\u304b\u3089Cupy\u306b\u5909\u3048\u308b\u3060\u3051\u3067\u3059\u3002<\/p>\n<p>Cupy\u306fCUDA\uff08NVIDIA\u306eGPU\u3092\u4f7f\u3046\u305f\u3081\u306e\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u8a00\u8a9e\uff09\u3067\u66f8\u304b\u308c\u305f\u8a08\u7b97\u3092\u3001Numpy\u3068\u307b\u3068\u3093\u3069\u540c\u3058\u3088\u3046\u306b\u4f7f\u3046\u4e8b\u304c\u3067\u304d\u308b\u3059\u3054\u3044\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3059\u3002<\/p>\n<p>\u3055\u3066\u3001\u5148\u7a0b\u4f5c\u3063\u305f\u30e2\u30c7\u30eb\u3092GPU\u306b\u5bfe\u5fdc\u3055\u305b\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\n<pre class=\"lang:python decode:true \"># \u30e2\u30c7\u30eb\u3092GPU\u306b\u5bfe\u5fdc\r\nmodel.to_gpu()\r\n\r\n# Variable\u3092GPU\u306b\u5bfe\u5fdc\r\ntrain_data_variable.to_gpu()\r\ntrain_label_variable.to_gpu()<\/pre>\n<p>Chainer\u306e\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u306eGPU\u5bfe\u5fdc\u306b\u306f\u3001to_gpu\u30e1\u30bd\u30c3\u30c9\u3092\u4f7f\u3044\u307e\u3059\u3002\u5f8c\u306fCPU\u3092\u4f7f\u3063\u305f\u3068\u304d\u3068\u540c\u69d8\u306b\u5b66\u7fd2\u3055\u305b\u3066\u304f\u3060\u3055\u3044\u3002CPU\u7248\u3067\u306f\u88cf\u3067Numpy\u3092\u4f7f\u3063\u3066\u3044\u307e\u3057\u305f\u304c\u3001GPU\u7248\u3067\u306fCupy\u3092\u4f7f\u3063\u3066\u8a08\u7b97\u3092\u884c\u3063\u3066\u304f\u308c\u307e\u3059\uff01<\/p>\n<h3>\u5b66\u7fd2\u7528\u30b3\u30fc\u30c9\u304c\u7c21\u5358\u306b\u66f8\u3051\u308bTrainer\u3068\u306f\uff1f<\/h3>\n<p>\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u306e\u5b66\u7fd2\u30b3\u30fc\u30c9\u3092\u3001\u3088\u308a\u7c21\u5358\u306b\u66f8\u3051\u308bTrainer\u3068\u3044\u3046\u6a5f\u80fd\u304cChainer\u3067\u306f\u63d0\u4f9b\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u3053\u308c\u3092\u4f7f\u3046\u3053\u3068\u3067\u3001\u3053\u306e\u8a18\u4e8b\u306e\u30b5\u30f3\u30d7\u30eb\u30b3\u30fc\u30c9\u306b\u3042\u3063\u305f\u5b66\u7fd2\u30b9\u30c6\u30c3\u30d7\u306b\u95a2\u3059\u308b\u90e8\u5206\u3092\u3088\u308a\u77ed\u304f\u3059\u308b\u4e8b\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n<p>\u307e\u305f\u3001Trainer\u3092\u4f7f\u3046\u3053\u3068\u3067\u5b66\u7fd2\u306e\u69d8\u5b50\u306e\u30e2\u30cb\u30bf\u30ea\u30f3\u30b0\u3082\u7c21\u5358\u306b\u3067\u308b\u306e\u3067\u3001Chainer\u306b\u6163\u308c\u3066\u304d\u305f\u3089\u662f\u975e\u4f7f\u3046\u3053\u3068\u3092\u30aa\u30b9\u30b9\u30e1\u3057\u307e\u3059\u3002Trainer\u306b\u3064\u3044\u3066\u306f\u3001\u5225\u306e\u8a18\u4e8b\u3067\u8a73\u3057\u304f\u8aac\u660e\u3057\u307e\u3059\u3002<\/p>\n<h2>\u307e\u3068\u3081<\/h2>\n<p>\u3069\u3046\u3067\u3057\u305f\u304b\uff1f\u99c6\u3051\u8db3\u306b\u306a\u308a\u307e\u3057\u305f\u304c\u3001\u3053\u306e\u8a18\u4e8b\u3067\u306fChainer\u306e\u57fa\u672c\u7684\u306a\u4f7f\u3044\u65b9\u3092\u7d39\u4ecb\u3057\u307e\u3057\u305f\u3002Chainer\u306f\u521d\u5fc3\u8005\u3067\u3082\u7c21\u5358\u306b\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u306b\u89e6\u308c\u308b\u4e8b\u304c\u3067\u304d\u308b\u7d20\u6674\u3089\u3057\u3044\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3059\u3002<\/p>\n<p>\u300c\u6d41\u884c\u308a\u306eDeep learning\u306b\u5165\u9580\u3057\u305f\u3044\uff01\u300d\u3068\u3044\u3046\u65b9\u306f\u3001\u662f\u975e\u3068\u3082Chainer\u306b\u30c1\u30e3\u30ec\u30f3\u30b8\u3057\u3066\u3001\u6700\u65b0\u6280\u8853\u3092\u624b\u8efd\u306b\u697d\u3057\u3093\u3067\u307f\u3066\u306f\u3044\u304b\u304c\u3067\u3057\u3087\u3046\u304b\u3002<\/p>\n<p>\u306a\u304a\u3001\u4ecaPython\u3092\u5b66\u7fd2\u3057\u3066\u3044\u308b\u65b9\u306f\u4ee5\u4e0b\u306e\u8a18\u4e8b\u3082\u3069\u3046\u305e\u3002<\/p>\n<p>\u306f\u3058\u3081\u3066Python\u3092\u4f7f\u3046\u65b9\u3067\u3082\u308f\u304b\u308a\u3084\u3059\u3044\u3088\u3046\u306b\u3001Python\u3067\u3067\u304d\u308b\u3053\u3068\u3084\u305d\u306e\u5b66\u7fd2\u6cd5\u306a\u3069\u3092\u4e2d\u5fc3\u306b\u307e\u3068\u3081\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>\u5fa9\u7fd2\u306b\u3082\u4f7f\u3048\u308b\u3068\u601d\u3044\u307e\u3059\u306e\u3067\u3001\u305c\u3072\u4e00\u5ea6\u3054\u89a7\u306b\u306a\u3063\u3066\u307f\u3066\u304f\u3060\u3055\u3044\u306d\u3002<\/p>\n<p>\u3010<a href=\"https:\/\/www.sejuku.net\/blog\/curriculums-python\"><strong>Python \u5165\u9580\u5b8c\u5168\u653b\u7565\u30ac\u30a4\u30c9<\/strong><\/a>\u3011<br \/>\n            <a href=\"https:\/\/www.sejuku.net\/blog\/curriculums-python\" class=\"blog-card-anchor\">\n                <div class=\"blog-card\">\n                <div class=\"blog-card-content\">\n                    <div class=\"blog-card-thumbnail\">\n                    <img decoding=\"async\" class=\"blog-card-thumbnail-img\" src=\"https:\/\/www.sejuku.net\/blog\/wp-content\/uploads\/2021\/10\/howto-05-21-150x85.jpg\">\n                    <\/div>\n                    <div class=\"blog-card-title-wrap\">\n                    <div class=\"blog-card-title\">Python\u30a2\u30d7\u30ea\u958b\u767a\u5b8c\u5168\u30ac\u30a4\u30c9\uff01\u6210\u529f\u3078\u3068\u5c0e\u304f\u5165\u9580\u624b\u9806\u3092\u521d\u5fc3\u8005\u5411\u3051\u306b\u89e3\u8aac<\/div>\n                    <div class=\"blog-card-update-date\">\u66f4\u65b0\u65e5\uff1a2024\u5e745\u670821\u65e5<\/div>\n                    <\/div>\n                <\/div>\n                <\/div>\n            <\/a>\n            <\/p>\n","protected":false},"excerpt":{"rendered":"<p>Deep learning\u306e\u30e2\u30c7\u30eb\u30fb\u5b9f\u884c\u30b3\u30fc\u30c9\u3092\u76f4\u611f\u7684\u306b\u8a18\u8ff0\u3067\u304d\u308bPython\u306e\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3001Chainer\u306e\u4f7f\u3044\u65b9\u3092\u5b66\u3093\u3067\u3044\u304d\u307e\u3057\u3087\u3046\u3002Chainer\u306e\u4f7f\u3044\u65b9\u3092\u5b66\u3076\u3053\u3068\u3067\u3001\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u3084Deep learning [&hellip;]<\/p>\n","protected":false},"author":4,"featured_media":48968,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"swell_btn_cv_data":"","footnotes":""},"categories":[2349],"tags":[1092,49],"class_list":["post-48241","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-python-start","tag-chainer","tag-python"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>\u6df1\u5c64\u5b66\u7fd2\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3001Chainer\u306e\u4f7f\u3044\u65b9\u3092\u512a\u3057\u304f\u89e3\u8aac\uff01 | \u4f8d\u30a8\u30f3\u30b8\u30cb\u30a2\u30d6\u30ed\u30b0<\/title>\n<meta name=\"description\" content=\"\u3053\u306e\u8a18\u4e8b\u3067\u306f\u300c \u6df1\u5c64\u5b66\u7fd2\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3001Chainer\u306e\u4f7f\u3044\u65b9\u3092\u512a\u3057\u304f\u89e3\u8aac\uff01 \u300d\u306b\u3064\u3044\u3066\u3001\u8ab0\u3067\u3082\u7406\u89e3\u3067\u304d\u308b\u3088\u3046\u306b\u89e3\u8aac\u3057\u307e\u3059\u3002\u3053\u306e\u8a18\u4e8b\u3092\u8aad\u3081\u3070\u3001\u3042\u306a\u305f\u306e\u60a9\u307f\u304c\u89e3\u6c7a\u3059\u308b\u3060\u3051\u3058\u3083\u306a\u304f\u3001\u65b0\u305f\u306a\u6c17\u4ed8\u304d\u3082\u767a\u898b\u3067\u304d\u308b\u3053\u3068\u3067\u3057\u3087\u3046\u3002\u304a\u60a9\u307f\u306e\u65b9\u306f\u305c\u3072\u3054\u4e00\u8aad\u304f\u3060\u3055\u3044\u3002\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.sejuku.net\/blog\/48241\" \/>\n<meta property=\"og:locale\" content=\"ja_JP\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u6df1\u5c64\u5b66\u7fd2\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3001Chainer\u306e\u4f7f\u3044\u65b9\u3092\u512a\u3057\u304f\u89e3\u8aac\uff01 | \u4f8d\u30a8\u30f3\u30b8\u30cb\u30a2\u30d6\u30ed\u30b0\" \/>\n<meta property=\"og:description\" content=\"\u3053\u306e\u8a18\u4e8b\u3067\u306f\u300c \u6df1\u5c64\u5b66\u7fd2\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3001Chainer\u306e\u4f7f\u3044\u65b9\u3092\u512a\u3057\u304f\u89e3\u8aac\uff01 \u300d\u306b\u3064\u3044\u3066\u3001\u8ab0\u3067\u3082\u7406\u89e3\u3067\u304d\u308b\u3088\u3046\u306b\u89e3\u8aac\u3057\u307e\u3059\u3002\u3053\u306e\u8a18\u4e8b\u3092\u8aad\u3081\u3070\u3001\u3042\u306a\u305f\u306e\u60a9\u307f\u304c\u89e3\u6c7a\u3059\u308b\u3060\u3051\u3058\u3083\u306a\u304f\u3001\u65b0\u305f\u306a\u6c17\u4ed8\u304d\u3082\u767a\u898b\u3067\u304d\u308b\u3053\u3068\u3067\u3057\u3087\u3046\u3002\u304a\u60a9\u307f\u306e\u65b9\u306f\u305c\u3072\u3054\u4e00\u8aad\u304f\u3060\u3055\u3044\u3002\" \/>\n<meta property=\"og:url\" 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