{"id":45209,"date":"2018-03-02T08:53:50","date_gmt":"2018-03-01T23:53:50","guid":{"rendered":"https:\/\/www.sejuku.net\/blog\/?p=45209"},"modified":"2025-12-26T15:00:35","modified_gmt":"2025-12-26T06:00:35","slug":"%e3%80%90tensorflow%e5%85%a5%e9%96%80%e3%80%91%e6%a9%9f%e6%a2%b0%e5%ad%a6%e7%bf%92%e3%83%95%e3%83%ac%e3%83%bc%e3%83%a0%e3%83%af%e3%83%bc%e3%82%aftensorflow%e3%82%92%e5%ad%a6%e3%81%bc%e3%81%86","status":"publish","type":"post","link":"https:\/\/www.sejuku.net\/blog\/45209","title":{"rendered":"\u3010TensorFlow\u5165\u9580\u3011\u6a5f\u68b0\u5b66\u7fd2\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30afTensorFlow\u3092\u5b66\u307c\u3046"},"content":{"rendered":"<p>\u8a71\u984c\u306e\u6a5f\u68b0\u5b66\u7fd2\u306b\u6311\u6226\u3057\u305f\u304f\u3066\u3001\u6a5f\u68b0\u5b66\u7fd2\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af<span style=\"color: #339966;\"><strong>TensorFlow\uff08\u30c6\u30f3\u30bd\u30eb\u30d5\u30ed\u30fc\uff09<\/strong><\/span>\u306b\u76ee\u3092\u4ed8\u3051\u305f\u3082\u306e\u306e\u3001<span style=\"color: #ff0000;\"><strong>\u516c\u5f0f\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u632b\u6298\u3057\u305d\u3046<\/strong><\/span>\u306b\u306a\u3063\u3066\u3044\u307e\u305b\u3093\u304b\uff1f<\/p>\n<p>TensorFlow\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3082\u30cf\u30fc\u30c9\u30eb\u306f\u9ad8\u3081\u3067\u3059\u304c\u3001\u516c\u5f0f\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3082\u30cf\u30fc\u30c9\u30eb\u304c\u9ad8\u3044\u3067\u3059\u3088\u306d\u3002<\/p>\n<p>\u305d\u3053\u3067\u3001\u4eca\u56de\u306fTensorFlow\u5165\u9580\u3068\u3057\u3066\u3001<span style=\"color: #0000ff;\"><strong>\u516c\u5f0f\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u7d39\u4ecb\u3055\u308c\u3066\u3044\u308b\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u7c21\u5358\u306b\u89e3\u8aac<\/strong><\/span>\u3057\u3066\u3044\u304d\u307e\u3059\u3002<\/p>\n<p>\u672c\u6765\u3067\u3042\u308c\u3070TensorFlow\u306e\u72ec\u7279\u306e\u8003\u3048\u65b9\u3092\u7406\u89e3\u3057\u306a\u3044\u3068\u3044\u3051\u306a\u305d\u3046\u3067\u3059\u304c\u3001\u4eca\u56de\u306f\u305d\u3053\u3092\u68da\u4e0a\u3052\u3057\u3001TensorFlow\u3067\u3069\u306e\u3088\u3046\u306b\u5b9f\u88c5\u3057\u3066\u3044\u304f\u306e\u304b\u3092\u8aac\u660e\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>\u3053\u306e\u8a18\u4e8b\u3092\u8aad\u307f\u7d42\u308f\u308c\u3070\u3001\u516c\u5f0f\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3092\u30b9\u30e9\u30b9\u30e9\u8aad\u3081\u308b\u30ec\u30d9\u30eb\u306b\u30ec\u30d9\u30eb\u30a2\u30c3\u30d7\u3057\u3066\u3044\u308b\u3067\u3057\u3087\u3046\u3002<\/p>\n<p>\u3067\u306f\u3001\u304c\u3093\u3070\u3063\u3066\u3044\u304d\u307e\u3057\u3087\u3046\uff01<\/p>\n<h2>TensorFlow\u3068\u306f\uff1f<\/h2>\n<p><span style=\"color: #339966;\"><strong>TensorFlow<\/strong><\/span>\u306f\u3001\u6a5f\u68b0\u5b66\u7fd2\u3084\u6df1\u5c64\u5b66\u7fd2\u306e\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u5b9f\u88c5\u3059\u308b\u969b\u306b\u4f7f\u7528\u3067\u304d\u308b\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3059\u3002<\/p>\n<p>\u540c\u69d8\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u3068\u3057\u3066\u3001<span style=\"color: #339966;\"><strong>Chainer<\/strong><\/span>\u3084<span style=\"color: #339966;\"><strong>scikit-learn<\/strong><\/span>\u306a\u3069\u3082\u6709\u540d\u3067\u3059\u304c\u3001\u3053\u3053\u3067\u306f\u5727\u5012\u7684\u306b<span style=\"color: #0000ff;\"><strong>\u5229\u7528\u8005\u304c\u591a\u3044<\/strong><\/span>TensorFlow\u3092\u7d39\u4ecb\u3057\u307e\u3059\u3002<\/p>\n<p>TensorFlow\u3068\u306f\u4f55\u304b\uff1f\u306b\u3064\u3044\u3066\u306f\u3001\u4ee5\u4e0b\u306e\u8a18\u4e8b\u3067\u8aac\u660e\u3057\u3066\u3044\u307e\u3059\u306e\u3067\u3001\u3088\u304f\u5206\u304b\u3089\u306a\u3044\u65b9\u306f\u78ba\u8a8d\u3057\u3066\u307f\u3066\u304f\u3060\u3055\u3044\u306d\u3002<\/p>\n            <a href=\"https:\/\/www.sejuku.net\/blog\/38134\" 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\/2017\/11\/Tensor-150x85.png\">\n                    <\/div>\n                    <div class=\"blog-card-title-wrap\">\n                    <div class=\"blog-card-title\">TensorFlow\u3068\u306f\uff1f\u6a5f\u68b0\u5b66\u7fd2\u306b\u5fc5\u9808\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u5206\u304b\u308a\u3084\u3059\u304f\u7d39\u4ecb<\/div>\n                    <div class=\"blog-card-update-date\">\u66f4\u65b0\u65e5\uff1a2025\u5e7412\u670826\u65e5<\/div>\n                    <\/div>\n                <\/div>\n                <\/div>\n            <\/a>\n            \n<h2>TensorFlow\u3092\u59cb\u3081\u308b\u524d\u306b<\/h2>\n<p>TensorFlow\u3092\u59cb\u3081\u308b\u524d\u306b\u3001\u5fc5\u8981\u306a\u77e5\u8b58\u3068\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u3092\u78ba\u8a8d\u3057\u3066\u304a\u304d\u307e\u3057\u3087\u3046\u3002<\/p>\n<p>\u3068\u8a00\u3063\u3066\u3082\u3001\u5fc5\u8981\u306a\u77e5\u8b58\u304c\u306a\u3044\u3068\u4f55\u3082\u3067\u304d\u306a\u3044\u3068\u3044\u3046\u308f\u3051\u3067\u306f\u3042\u308a\u307e\u305b\u3093\u306e\u3067\u3001TensorFlow\u3092\u52c9\u5f37\u3057\u306a\u304c\u3089\u3001\u5fc5\u8981\u306a\u77e5\u8b58\u3092\u8eab\u306b\u4ed8\u3051\u3066\u3044\u304f\u3068\u826f\u3044\u3067\u3057\u3087\u3046\u3002<\/p>\n<p>\u5fc5\u8981\u306a\u77e5\u8b58\u306f\u3001<\/p>\n<ul>\n<li><span style=\"color: #ff0000;\"><strong>\u6a5f\u68b0\u5b66\u7fd2\u3084\u6df1\u5c64\u5b66\u7fd2\u306e\u5206\u91ce\u306e\u77e5\u8b58<\/strong><\/span><\/li>\n<li><span style=\"color: #ff0000;\"><strong>Python\u306e\u77e5\u8b58<\/strong><\/span><\/li>\n<li><span style=\"color: #ff0000;\"><strong>NumPy\u306a\u3069\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u306e\u77e5\u8b58<\/strong><\/span><\/li>\n<\/ul>\n<p>\u3067\u3059\u3002<\/p>\n<p>\u305d\u3046\u306f\u8a00\u3063\u3066\u3082\u3001\u305d\u308c\u305e\u308c\u306e\u5b8c\u74a7\u306a\u77e5\u8b58\u304c\u5fc5\u8981\u306a\u308f\u3051\u3067\u306f\u306a\u304f\u3001<span style=\"color: #0000ff;\"><strong>\u305d\u306e\u8fba\u308a\u306e\u77e5\u8b58\u304c\u5fc5\u8981\u306a\u306e\u306d\u3001\u3068\u3044\u3046\u7a0b\u5ea6\u306e\u7406\u89e3\u3067\u69cb\u3044\u307e\u305b\u3093\u3002<\/strong><\/span><\/p>\n<p>\u5fc5\u8981\u306a\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u306f\u3001<\/p>\n<ul>\n<li><span style=\"color: #339966;\"><strong>Python<\/strong><\/span><\/li>\n<li><span style=\"color: #339966;\"><strong>TensorFlow<\/strong><\/span><\/li>\n<li><span style=\"color: #339966;\"><strong>\u305d\u306e\u4ed6\u306e\u30e9\u30a4\u30d6\u30e9\u30ea<\/strong><\/span><\/li>\n<\/ul>\n<p>\u3067\u3059\u3002<\/p>\n<p><span style=\"color: #339966;\"><strong>\u305d\u306e\u4ed6\u306e\u30e9\u30a4\u30d6\u30e9\u30ea<\/strong><\/span>\u306f\u3001<span style=\"color: #0000ff;\"><strong>\u30c7\u30fc\u30bf\u3092\u5b66\u7fd2\u3059\u308b\u305f\u3081\u306e\u524d\u51e6\u7406<\/strong><\/span>\u3067\u3042\u3063\u305f\u308a\u3001<span style=\"color: #0000ff;\"><strong>\u5b66\u7fd2\u7d50\u679c\u3092\u308f\u304b\u308a\u3084\u3059\u304f\u8868\u73fe\u3059\u308b\u305f\u3081\u306e\u5f8c\u51e6\u7406<\/strong><\/span>\u3067\u304c\u3093\u3070\u308b\u3068\u304d\u306b\u5fc5\u8981\u306a\u3082\u306e\u3067\u3059\u3002<\/p>\n<p>\u3053\u306e\u8a18\u4e8b\u3067\u7d39\u4ecb\u3059\u308b\u7bc4\u56f2\u3067\u306f\u3001\u305d\u306e\u4ed6\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u306f\u5fc5\u8981\u3042\u308a\u307e\u305b\u3093\u3002<\/p>\n<p>\u672c\u683c\u7684\u306b\u6a5f\u68b0\u5b66\u7fd2\u306b\u53d6\u308a\u7d44\u3080\u3068\u304d\u306b\u306f\u3001<span style=\"color: #ff0000;\"><strong>Python\u3068TensorFlow\u3060\u3051\u3067\u3001\u3059\u3079\u3066\u304c\u5b8c\u7d50\u3059\u308b\u308f\u3051\u3067\u306f\u306a\u3044<\/strong><\/span>\u3068\u3044\u3046\u3053\u3068\u3092\u899a\u3048\u3066\u304a\u3044\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n<h3>TensorFlow\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb<\/h3>\n<p>TensorFlow\u306f\u3001Windows\u306b\u3082Mac OS\u306b\u3082Linux\u306b\u3082\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3067\u304d\u307e\u3059\u306e\u3067\u3001\u304a\u4f7f\u3044\u306e\u74b0\u5883\u306b\u3042\u308f\u305b\u3066\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u307e\u3057\u3087\u3046\u3002<\/p>\n<p>\u306a\u304a\u3001TensorFlow 1.5\u3092Windows 10\u306b\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\u624b\u9806\u306f\u3001\u4ee5\u4e0b\u306e\u8a18\u4e8b\u3067\u8aac\u660e\u3057\u3066\u3044\u307e\u3059\u306e\u3067\u3001\u305c\u3072\u53c2\u8003\u306b\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n            <a href=\"https:\/\/www.sejuku.net\/blog\/43784\" 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\/02\/howto-01-2025-01-21T230320.990-150x85.png\">\n                    <\/div>\n                    <div class=\"blog-card-title-wrap\">\n                    <div class=\"blog-card-title\">TensorFlow\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u65b9\u6cd5\u307e\u3068\u3081\uff01\u3067\u304d\u306a\u3044\u6642\u306e\u5bfe\u51e6\u6cd5\u3082\u7d39\u4ecb<\/div>\n                    <div class=\"blog-card-update-date\">\u66f4\u65b0\u65e5\uff1a2025\u5e7412\u670826\u65e5<\/div>\n                    <\/div>\n                <\/div>\n                <\/div>\n            <\/a>\n            \n<p>\u3053\u306e\u8a18\u4e8b\u3067\u306f\u3001\u4e0a\u306e\u8a18\u4e8b\u306b\u5f93\u3063\u3066<span style=\"color: #339966;\"><strong>GPU\u7248TensorFlow<\/strong><\/span>\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u305f\u74b0\u5883\u306e\u64cd\u4f5c\u3092\u8aac\u660e\u3057\u307e\u3059\u3002<\/p>\n<h2>MNIST For ML Beginners\u3092\u3056\u3063\u304f\u308a\u89e3\u8aac\uff01<\/h2>\n<p>TensorFlow\u306e\u516c\u5f0f\u30b5\u30a4\u30c8\u306b\u306f\u3001<span style=\"color: #339966;\"><strong>\u300cMNIST For ML Beginners\u300d<\/strong><\/span>\u3068\u3044\u3046\u8a18\u4e8b\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<p>\u53c2\u8003\uff1a<a href=\"https:\/\/www.tensorflow.org\/versions\/r1.1\/get_started\/mnist\/beginners\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/www.tensorflow.org\/versions\/r1.1\/get_started\/mnist\/beginners<\/a><\/p>\n<p>\u5b9f\u306f\u3061\u3087\u3063\u3068\u53e4\u3044\u60c5\u5831\u306b\u306a\u308b\u306e\u3067\u3059\u304c\u3001<span style=\"color: #339966;\"><strong>TensorFlow 1.5<\/strong><\/span>\u3067\u3082\u52d5\u4f5c\u3057\u307e\u3059\u3057\u3001\u3059\u3079\u3066\u304c\u7121\u99c4\u306b\u306a\u308b\u308f\u3051\u3067\u306f\u3042\u308a\u307e\u305b\u3093\u3002<\/p>\n<p>\u307e\u305f\u3001\u7406\u89e3\u3057\u306a\u3051\u308c\u3070\u3044\u3051\u306a\u3044\u7bc4\u56f2\u3082\u72ed\u3044\u305f\u3081\u3001<span style=\"color: #0000ff;\"><strong>TensorFlow\u5165\u9580\u3068\u3057\u3066\u306f\u30d4\u30c3\u30bf\u30ea\u3067\u3059\u3002<\/strong><\/span><\/p>\n<p>\u307f\u306a\u3055\u3093\u304c\u8aad\u3093\u3067\u3044\u308b\u3053\u306e\u8a18\u4e8b\u3067\u306f\u3001TensorFlow\u306e\u96f0\u56f2\u6c17\u3092\u3064\u304b\u3080\u3068\u3044\u3046\u76ee\u7684\u3067\u3001\u300cMNIST For ML Beginners\u300d\u306e\u5185\u5bb9\u3092\u3001\u3082\u3063\u3068\u77ed\u3044\u65e5\u672c\u8a9e\u3067\u7d39\u4ecb\u3057\u3066\u307f\u3088\u3046\u3068\u601d\u3044\u307e\u3059\uff01<\/p>\n<h3>\u624b\u66f8\u304d\u6570\u5b57\u3092\u8a8d\u8b58\u3055\u305b\u3066\u307f\u305f\u3044<\/h3>\n<p>\u300cMNIST For ML Beginners\u300d\u3067\u89e3\u8aac\u3057\u3066\u3044\u308b\u30d7\u30ed\u30b0\u30e9\u30e0\u306e\u76ee\u7684\u3092\u3001\u59cb\u3081\u306b\u7d39\u4ecb\u3057\u3066\u304a\u304d\u307e\u3057\u3087\u3046\u3002<\/p>\n<p>\u300cMNIST For ML Beginners\u300d\u3067\u306f\u3001<span style=\"color: #0000ff;\"><strong>\u6a5f\u68b0\u5b66\u7fd2\u3082TensorFlow\u3082\u521d\u3081\u3066\u6271\u3046\u3068\u3044\u3046\u65b9\u5411\u3051\u306b\u3001\u624b\u66f8\u304d\u6570\u5b57\u3092\u8a8d\u8b58\u3059\u308b\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u89e3\u8aac<\/strong><\/span>\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p><span style=\"color: #339966;\"><strong>\u624b\u66f8\u304d\u6570\u5b57\u306e\u8a8d\u8b58<\/strong><\/span>\u306f\u3001\u6a5f\u68b0\u5b66\u7fd2\u3067\u6709\u540d\u306a\u30bf\u30b9\u30af\u306e\u3072\u3068\u3064\u3067\u3059\u3002<\/p>\n<p>\u3061\u306a\u307f\u306b\u3001\u624b\u66f8\u304d\u6570\u5b57\u3092\u8a8d\u8b58\u3059\u308b\u65b9\u6cd5\u306f1\u3064\u3067\u306f\u3042\u308a\u307e\u305b\u3093\u3002<\/p>\n<p>\u4ee5\u4e0b\u306e\u8a18\u4e8b\u3067\u3082\u3001\u624b\u66f8\u304d\u6570\u5b57\u306e\u8a8d\u8b58\u306b\u6311\u6226\u3057\u3066\u3044\u307e\u3059\u306e\u3067\u3001\u624b\u66f8\u304d\u6570\u5b57\u306e\u8a8d\u8b58\u3063\u3066\uff1f\u3068\u601d\u3046\u65b9\u306f\u3061\u3087\u3063\u3068\u8997\u3044\u3066\u307f\u3066\u304f\u3060\u3055\u3044\u306d\u3002<\/p>\n            <a href=\"https:\/\/www.sejuku.net\/blog\/44411\" 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\/02\/tens-use_eye-150x86.jpg\">\n                    <\/div>\n                    <div class=\"blog-card-title-wrap\">\n                    <div class=\"blog-card-title\">\u3010\u6a5f\u68b0\u5b66\u7fd2\u521d\u5fc3\u8005\u5fc5\u898b\u3011Windows\u3067TensorFlow\u3092\u4f7f\u3063\u3066\u3044\u308b\u753b\u9762\u3092\u7d39\u4ecb\uff01<\/div>\n                    <div class=\"blog-card-update-date\">\u66f4\u65b0\u65e5\uff1a2025\u5e7412\u670826\u65e5<\/div>\n                    <\/div>\n                <\/div>\n                <\/div>\n            <\/a>\n            \n<h3>MNIST\u30c7\u30fc\u30bf\u3092\u8aad\u307f\u8fbc\u307e\u305b\u308b<\/h3>\n<p>\u3067\u306f\u3001\u3053\u3053\u304b\u3089\u30d7\u30ed\u30b0\u30e9\u30e0\u306e\u8aac\u660e\u3092\u3057\u3066\u3044\u304d\u307e\u3059\u306d\u2026\u3068\u8a00\u3044\u305f\u3044\u3068\u3053\u308d\u3067\u3059\u304c\u3001\u307e\u305a\u306f\u6a5f\u68b0\u5b66\u7fd2\u306b\u4e0d\u53ef\u6b20\u306a\u30c7\u30fc\u30bf\u306e\u8a71\u304b\u3089\u3067\u3059\u3002<\/p>\n<p>\u624b\u66f8\u304d\u6570\u5b57\u3092\u8a8d\u8b58\u3059\u308b\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u4f5c\u6210\u3059\u308b\u4e0a\u3067\u3001\u5fc5\u8981\u306a\u306e\u306f\u3001<span style=\"color: #339966;\"><strong>\u753b\u50cf\u30c7\u30fc\u30bf<\/strong><\/span>\u3068<span style=\"color: #339966;\"><strong>\u305d\u306e\u753b\u50cf\u304c\u8868\u3059\u6570\u5b57\u30c7\u30fc\u30bf<\/strong><\/span>\u3092<span style=\"color: #0000ff;\"><strong>\u30da\u30a2\u306b\u3057\u305f\u3082\u306e<\/strong><\/span>\u3067\u3059\u3002<\/p>\n<p>\u305f\u3068\u3048\u3070\u3001\u4ee5\u4e0b\u306e\u3088\u3046\u306a4\u3064\u306e\u30da\u30a2\u3092\u7528\u610f\u3059\u308b\u3053\u3068\u3092\u30a4\u30e1\u30fc\u30b8\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n\n<table id=\"tablepress-316\" class=\"tablepress tablepress-id-316\">\n<thead>\n<tr class=\"row-1\">\n\t<th class=\"column-1\">\u753b\u50cf\u30c7\u30fc\u30bf<\/th><th class=\"column-2\">\u305d\u306e\u753b\u50cf\u304c\u8868\u3059\u6570\u5b57\u30c7\u30fc\u30bf<\/th>\n<\/tr>\n<\/thead>\n<tbody class=\"row-striping row-hover\">\n<tr class=\"row-2\">\n\t<td class=\"column-1\"><img decoding=\"async\" src=\"https:\/\/s3-ap-northeast-1.amazonaws.com\/samurai-blog-media\/blog\/wp-content\/uploads\/2018\/02\/cfeb13a203751f049cf397ea8d8a11dc.png\" alt=\"\u30cb\" width=\"28\" height=\"28\" class=\"alignnone size-full wp-image-44438\" \/>\uff08\u30cb.png\uff09<\/td><td class=\"column-2\">2<\/td>\n<\/tr>\n<tr class=\"row-3\">\n\t<td class=\"column-1\"><img decoding=\"async\" src=\"https:\/\/s3-ap-northeast-1.amazonaws.com\/samurai-blog-media\/blog\/wp-content\/uploads\/2018\/02\/80c7a6f3ddc8e6659d819b5983805267.png\" alt=\"\u30b5\u30f3\" width=\"28\" height=\"28\" class=\"alignnone size-full wp-image-44420\" \/>\uff08\u30b5\u30f3.png\uff09<\/td><td class=\"column-2\">3<\/td>\n<\/tr>\n<tr class=\"row-4\">\n\t<td class=\"column-1\"><img decoding=\"async\" src=\"https:\/\/s3-ap-northeast-1.amazonaws.com\/samurai-blog-media\/blog\/wp-content\/uploads\/2018\/02\/4a436b55d8e96ab98aafafe7b5a68641.png\" alt=\"\u30e8\u30f3\" width=\"28\" height=\"28\" class=\"alignnone size-full wp-image-44439\" \/>\uff08\u30e8\u30f3.png\uff09<\/td><td class=\"column-2\">4<\/td>\n<\/tr>\n<tr class=\"row-5\">\n\t<td class=\"column-1\"><img decoding=\"async\" src=\"https:\/\/s3-ap-northeast-1.amazonaws.com\/samurai-blog-media\/blog\/wp-content\/uploads\/2018\/02\/d0ebf34953028906b983ba7ac4ddd273.png\" alt=\"\u30cf\u30c1\" width=\"28\" height=\"28\" class=\"alignnone size-full wp-image-44440\" \/>\uff08\u30cf\u30c1.png\uff09<\/td><td class=\"column-2\">8<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<!-- #tablepress-316 from cache -->\n<p>\u3057\u304b\u3057\u3001\u3053\u306e4\u3064\u306e\u30da\u30a2\u3060\u3051\u3092\u898b\u3066\u3082\u3001\u30d7\u30ed\u30b0\u30e9\u30e0\u306f<span style=\"color: #ff0000;\"><strong>\u300c5\u300d\u3068\u304b\u300c7\u300d\u306f\u5b66\u7fd2\u3067\u304d\u307e\u305b\u3093\u3002<\/strong><\/span><\/p>\n<p>\u307e\u305f\u3001\u300c2\u300d\u306b\u3057\u3066\u3082\u3001<span style=\"color: #ff0000;\"><strong>\u4eba\u306b\u3088\u3063\u3066\u300c2\u300d\u306e\u5f62\u306f\u9055\u3044\u307e\u3059\u3002<\/strong><\/span><\/p>\n<p>\u3082\u3063\u3068\u66f2\u304c\u3063\u305f\u300c2\u300d\u3082\u3042\u308c\u3070\u3001\u5c0f\u3055\u306a\u300c2\u300d\u3082\u3042\u308b\u3067\u3057\u3087\u3046\u3002<\/p>\n<p>\u305d\u308c\u3089\u3092\u3059\u3079\u3066\u8aad\u3081\u308b\u3088\u3046\u306b\u3059\u308b\u306b\u306f\u30014\u3064\u306e\u30da\u30a2\u3060\u3051\u3067\u306f\u3068\u3066\u3082\u8db3\u308a\u305a\u3001<span style=\"color: #ff0000; background-color: #ffff99;\"><strong>\u3082\u3063\u3068\u591a\u304f\u306e\u30da\u30a2\u304c\u5fc5\u8981\u306a\u306e\u3067\u3059\u3002<\/strong><\/span><\/p>\n<p>\u305d\u3053\u3067\u3001TensorFlow\u3060\u3051\u3067\u306a\u304f\u6a5f\u68b0\u5b66\u7fd2\u754c\u9688\u3067\u306f\u3001Yann LeCun\u6c0f\u3089\u304c\u516c\u958b\u3057\u3066\u3044\u308b\u3001\u753b\u50cf\u30c7\u30fc\u30bf\u3068\u305d\u306e\u753b\u50cf\u304c\u8868\u3059\u6570\u5b57\u30c7\u30fc\u30bf\u306e\u30da\u30a2\uff08<span style=\"color: #339966;\"><strong>MNIST\u30c7\u30fc\u30bf<\/strong><\/span>\uff09\u3092\u4f7f\u7528\u3055\u305b\u3066\u3082\u3089\u3046\u3053\u3068\u304c\u591a\u304f\u306a\u3063\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>\u53c2\u8003\uff1a<a href=\"http:\/\/yann.lecun.com\/exdb\/mnist\/\" target=\"_blank\" rel=\"noopener noreferrer\">http:\/\/yann.lecun.com\/exdb\/mnist\/<\/a><\/p>\n<p>\u4eca\u56de\u89e3\u8aac\u3057\u3066\u3044\u304f\u300cMNIST For Beginners\u300d\u3067\u3082\u3001\u7d39\u4ecb\u3057\u305fMNIST\u30c7\u30fc\u30bf\u3092\u4f7f\u3063\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>\u3068\u3044\u3063\u3066\u3082\u3001\u3042\u3089\u304b\u3058\u3081\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3057\u3066\u304a\u304f\u5fc5\u8981\u306f\u3042\u308a\u307e\u305b\u3093\u3002<\/p>\n<p>\u30d7\u30ed\u30b0\u30e9\u30e0\u306e\u4e2d\u3067<span style=\"color: #0000ff;\"><strong>MNIST\u30c7\u30fc\u30bf\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3057\u3066\u3001\u6a5f\u68b0\u5b66\u7fd2\u306b\u90fd\u5408\u306e\u826f\u3044\u30c7\u30fc\u30bf\u5f62\u5f0f\u306b\u5909\u63db\u3059\u308b<\/strong><\/span>\u3068\u3044\u3046\u4fbf\u5229\u4ed5\u69d8\u306b\u306a\u3063\u3066\u3044\u307e\u3059\u3002<\/p>\n<pre class=\"decode:true \">from tensorflow.examples.tutorials.mnist import input_data\r\nmnist = input_data.read_data_sets(\"MNIST_data\/\", one_hot=True)<\/pre>\n<p>2\u884c\u76ee\u306e\u30b3\u30fc\u30c9\u3067\u3001MNIST\u30c7\u30fc\u30bf\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3057\u3066\u3001\u6a5f\u68b0\u5b66\u7fd2\u3092\u3057\u3084\u3059\u3044\u3088\u3046\u306bMNIST\u30c7\u30fc\u30bf\u3092\u5909\u63db\u3057\u305f\u3046\u3048\u3067mnist\u306b\u683c\u7d0d\u3057\u307e\u3059\u3002<\/p>\n<p>\u5b66\u7fd2\u306b\u4f7f\u3046\u30da\u30a2\u30c7\u30fc\u30bf\u306f\u3001mnist\u306e\u4e2d\u306b3\u3064\u306e\u5909\u6570\u306b\u5206\u5272\u3057\u3066\u683c\u7d0d\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>\u5177\u4f53\u7684\u306b\u306f\u3001<span style=\"color: #339966;\"><strong>mnist.train<\/strong><\/span>\u306b55000\u30da\u30a2\u3001<span style=\"color: #339966;\"><strong>mnist.validation<\/strong><\/span>\u306b5000\u30da\u30a2\u3001<span style=\"color: #339966;\"><strong>mnist.test<\/strong><\/span>\u306b10000\u30da\u30a2\u306e\u30c7\u30fc\u30bf\u304c\u683c\u7d0d\u3055\u308c\u307e\u3059\u3002<\/p>\n<p>\u305d\u3057\u3066\u3001mnist.train\u3001mnist.validation\u3001mnist.test\u306b\u306f\u3001\u305d\u308c\u305e\u308c\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u30c7\u30fc\u30bf\u304c\u683c\u7d0d\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n\n<table id=\"tablepress-317\" class=\"tablepress tablepress-id-317\">\n<thead>\n<tr class=\"row-1\">\n\t<th class=\"column-1\">\u5909\u6570<\/th><th class=\"column-2\">\u8aac\u660e<\/th>\n<\/tr>\n<\/thead>\n<tbody class=\"row-striping row-hover\">\n<tr class=\"row-2\">\n\t<td class=\"column-1\">num_examples<\/td><td class=\"column-2\">\u30da\u30a2\u30c7\u30fc\u30bf\u306e\u6570<\/td>\n<\/tr>\n<tr class=\"row-3\">\n\t<td class=\"column-1\">images<\/td><td class=\"column-2\">\u753b\u50cf\u30c7\u30fc\u30bf\uff08_num_examples\u500b\uff09<br \/>\n28\u00d728\u30d4\u30af\u30bb\u30eb\u306e\u753b\u50cf\u30c7\u30fc\u30bf\u304c\u30011\u00d7784\u306e\u914d\u5217\u306b\u683c\u7d0d\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/td>\n<\/tr>\n<tr class=\"row-4\">\n\t<td class=\"column-1\">labels<\/td><td class=\"column-2\">\u753b\u50cf\u304c\u8868\u3059\u6570\u5b57\u30c7\u30fc\u30bf\uff08_num_examples\u500b\uff09<br \/>\n\u300c3\u300d\u3084\u300c4\u300d\u304c\u767b\u9332\u3055\u308c\u3066\u3044\u308b\u306e\u3067\u306f\u306a\u304f\u30011\u00d710\u306e\u914d\u5217\u3067\u3059\u3002<br \/>\n\u4ee5\u4e0b\u306e\u3088\u3046\u306b\u30011\u3064\u3060\u3051\u300c1\u300d\u304c\u3001\u6b8b\u308a\u306f\u300c0\u300d\u304c\u683c\u7d0d\u3055\u308c\u3066\u3044\u307e\u3059\u3002<br \/>\n[0. 0. 0. 0. 0. 0. 0. 1. 0. 0.]<br \/>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<!-- #tablepress-317 from cache -->\n<p>\u6a5f\u68b0\u5b66\u7fd2\u306e\u30d7\u30ed\u30b0\u30e9\u30e0\u3067\u306f\u3001<span style=\"color: #339966;\"><strong>images<\/strong><\/span>\u3068<span style=\"color: #339966;\"><strong>labels<\/strong><\/span>\u306e<span style=\"color: #0000ff;\"><strong>\u5bfe\u5fdc\u3092\u5b66\u7fd2<\/strong><\/span>\u3057\u3001<span style=\"color: #0000ff;\"><strong>\u65b0\u3057\u3044images\u306b\u5bfe\u3057\u3066\u65b0\u3057\u3044labels\u3092\u63a8\u6e2c\u3059\u308b<\/strong><\/span>\u3068\u3044\u3046\u52d5\u4f5c\u3092\u671f\u5f85\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<h3>\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\uff08\u30e2\u30c7\u30eb\uff09\u3092\u69cb\u7bc9\u3059\u308b<\/h3>\n<p>\u6b21\u306b\u3001<span style=\"color: #339966;\"><strong>\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af<\/strong><\/span>\uff08\u4ee5\u964d\u3001<span style=\"color: #ff0000;\"><strong>\u30e2\u30c7\u30eb<\/strong><\/span>\u3068\u8868\u8a18\u3057\u307e\u3059\uff09\u3092\u69cb\u7bc9\u3057\u307e\u3059\u3002<\/p>\n<p>TensorFlow\u3067\u306f\u3001\u3042\u3089\u304b\u3058\u3081<span style=\"color: #0000ff;\"><strong>\u300c\u753b\u50cf\u30c7\u30fc\u30bf\u3092\u53d7\u3051\u5165\u308c\u305f\u3068\u304d\u306b\u3069\u306e\u3088\u3046\u306b\u8a08\u7b97\u3059\u308b\u304b\u300d<\/strong><\/span>\u3092\u5b9a\u7fa9\u3057\u307e\u3059\u3002<\/p>\n<p>\u5b9a\u7fa9\u3057\u305f\u3068\u304d\u306b\u306f\u8a08\u7b97\u306f\u884c\u308f\u308c\u305a\u3001\u3042\u3068\u3067\u307e\u3068\u3081\u3066\u8a08\u7b97\u3059\u308b\u306e\u304c\u3001TensorFlow\u306e\u7279\u5fb4\u3067\u3059\u304c\u3001\u521d\u3081\u306e\u3046\u3061\u306f\u3042\u307e\u308a\u6c17\u306b\u3057\u306a\u304f\u3066\u3082\u826f\u3044\u3067\u3057\u3087\u3046\u3002<\/p>\n<p>\u5165\u9580\u3067\u5927\u4e8b\u306a\u3053\u3068\u306f\u96f0\u56f2\u6c17\u3067\u3059\u3002<\/p>\n<pre class=\"decode:true \">x = tf.placeholder(tf.float32, [None, 784])\r\nW = tf.Variable(tf.zeros([784, 10]))\r\nb = tf.Variable(tf.zeros([10]))\r\ny = tf.matmul(x, W) + b<\/pre>\n<p><span style=\"color: #339966;\"><strong>tf.placeholder()<\/strong><\/span>\u3067\u3001images\u30921\u3064\u53d7\u3051\u53d6\u308b\u5834\u6240\uff08TensorFlow\u3067\u306f<span style=\"color: #339966;\"><strong>\u30d7\u30ec\u30fc\u30b9\u30db\u30eb\u30c0\u30fc<\/strong><\/span>\u3068\u547c\u3070\u308c\u3066\u3044\u307e\u3059\uff09\u3092\u751f\u6210\u3057\u307e\u3059\u3002<\/p>\n<p>\u3042\u3068\u3067\u51fa\u3066\u304f\u308b<span style=\"color: #339966;\"><strong>sess.run()<\/strong><\/span>\u3092\u5b9f\u884c\u3059\u308b\u30bf\u30a4\u30df\u30f3\u30b0\u3067\u3001\u753b\u50cf\u30c7\u30fc\u30bf\u304c\u3053\u306e\u30d7\u30ec\u30fc\u30b9\u30db\u30eb\u30c0\u30fc\u306b\u6295\u5165\u3055\u308c\u308b\u3088\u3046\u306a\u30a4\u30e1\u30fc\u30b8\u3067\u3044\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n<p>\u305d\u306e\u5f8c\u306e3\u884c\u306f\uff08\u6a5f\u68b0\u5b66\u7fd2\u3067\u8a00\u3046\u3068\u3053\u308d\u306e\uff09\u30d1\u30e9\u30e1\u30fc\u30bf\u30fc\u3092\u6e96\u5099\u3057\u305f\u308a\u3001\u3042\u308c\u3053\u308c\u8a08\u7b97\u3059\u308b\u3068\u3053\u308d\u3067\u3059\u3002<\/p>\n<p>\u5c11\u3057\u66f8\u304f\u3068\u3001\u753b\u50cf\u30c7\u30fc\u30bf\u3092x\u306b\u683c\u7d0d\u3057\u3001\u30d1\u30e9\u30e1\u30fc\u30bf\u30fcW\u3068\u306e\u5185\u7a4d\u3092\u6c42\u3081\u3066\u3001\u30d1\u30e9\u30e1\u30fc\u30bf\u30fcb\u3092\u52a0\u7b97\u3057\u305f\u7d50\u679c\u3092y\u306b\u683c\u7d0d\u3057\u3066\u3044\u308b\u3001\u3068\u306a\u308a\u307e\u3059\u304c\u3001\u30b6\u30c3\u30af\u30ea<span style=\"color: #0000ff;\"><strong>\u3042\u308c\u3053\u308c\u8a08\u7b97\u3059\u308b\u3093\u3060\u306a<\/strong><\/span>\u3001\u3068\u3044\u3046\u7406\u89e3\u3067\u3001\u8aad\u307f\u98db\u3070\u3057\u3066\u3082\u826f\u3044\u3067\u3057\u3087\u3046\u3002<\/p>\n<p>\u3053\u306e4\u884c\u306e\u8a08\u7b97\u3092\u7d4c\u308b\u3068\u3001\u753b\u50cf\u30c7\u30fc\u30bf\u304b\u3089\u3001\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u8b0e\u306e\u6570\u5024\u304c\u683c\u7d0d\u3055\u308c\u305f1\u00d710\u306e\u914d\u5217\u304c\u8a08\u7b97\u3055\u308c\u307e\u3059\u3002\u8a08\u7b97\u7d50\u679c\u306f\u3001y\u306b\u5165\u308a\u307e\u3059\u3002<\/p>\n<p><span style=\"color: #0000ff;\"><strong>[ 0.18440935 -8.5651245 1.7532194 &#8230; 10.496584 -0.19720328 2.1629303 ]<br \/>\n<\/strong><\/span><\/p>\n<p>\u3053\u3053\u3067\u306f\u8a08\u7b97\u3055\u308c\u305f\u300c1\u00d710\u306e\u914d\u5217\u300d\u304c\u3001\u5148\u306b\u8aac\u660e\u3057\u3066\u3042\u3063\u305flabels<span style=\"color: #0000ff;\"><strong>[0. 0. 0. 0. 0. 0. 0. 1. 0. 0.]<\/strong><\/span>\u306b\u5bfe\u5fdc\u3057\u3066\u3044\u308b\u3068\u3044\u3046\u3053\u3068\u3092\u899a\u3048\u3066\u304a\u3044\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n<h4>\u8aa4\u5dee\u95a2\u6570\u3092\u6e96\u5099\u3059\u308b<\/h4>\n<p>\u6b21\u306b\u3001<span style=\"color: #339966;\"><strong>\u8aa4\u5dee\u95a2\u6570<\/strong><\/span>\uff08<span style=\"color: #339966;\"><strong>\u76ee\u7684\u95a2\u6570<\/strong><\/span>\u3001<span style=\"color: #339966;\"><strong>\u30b3\u30b9\u30c8\u95a2\u6570<\/strong><\/span>\u3001<span style=\"color: #339966;\"><strong>\u640d\u5931\u95a2\u6570<\/strong><\/span>\u3001<span style=\"color: #339966;\"><strong>\u6700\u9069\u30b9\u30b3\u30a2\u95a2\u6570<\/strong><\/span>\u3068\u3082\u547c\u3070\u308c\u307e\u3059\uff09\u3092\u6e96\u5099\u3057\u307e\u3059\u3002<\/p>\n<pre class=\"decode:true \">y_ = tf.placeholder(tf.float32, [None, 10])\r\ncross_entropy = tf.reduce_mean(tf.nn.softmax_cross_entropy_with_logits(labels=y_, logits=y))<\/pre>\n<p>\u8aa4\u5dee\u95a2\u6570\u306f\u3001\u753b\u50cf\u30c7\u30fc\u30bf\u304b\u3089\u8a08\u7b97\u3057\u305f1\u00d710\u306e\u914d\u5217\u3068\u3001labels\uff08\u753b\u50cf\u304c\u8868\u3059\u6570\u5b57\u30c7\u30fc\u30bf\uff09\u306b\u683c\u7d0d\u3055\u308c\u3066\u3044\u308b1\u00d710\u306e\u914d\u5217\u306e<span style=\"color: #0000ff;\"><strong>\u8aa4\u5dee\u3092\u5224\u5b9a\u3059\u308b\u305f\u3081\u306e\u95a2\u6570<\/strong><\/span>\u3067\u3059\u3002<\/p>\n<p>\u6a5f\u68b0\u5b66\u7fd2\u3067\u306f\u3001\u3055\u307e\u3056\u307e\u306a\u8aa4\u5dee\u95a2\u6570\u304c\u63d0\u6848\u3055\u308c\u3066\u3044\u307e\u3059\u304c\u3001\u300cMNIST For ML Beginners\u300d\u3067\u306f\u3001<span style=\"color: #339966;\"><strong>tf.nn.softmax_cross_entropy_with_logits()<\/strong><\/span>\u3001\u3064\u307e\u308a<span style=\"color: #339966;\"><strong>\u30af\u30ed\u30b9\u30a8\u30f3\u30c8\u30ed\u30d4\u30fc\u95a2\u6570<\/strong><\/span>\uff08<span style=\"color: #339966;\"><strong>\u4ea4\u5dee\u30a8\u30f3\u30c8\u30ed\u30d4\u30fc\u95a2\u6570<\/strong><\/span>\u3068\u3082\uff09\u3092\u5229\u7528\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p><span style=\"color: #339966;\"><strong>tf.nn.softmax_cross_entropy_with_logits()<\/strong><\/span>\u306b\u5f15\u6570\u3067\u6e21\u3057\u3066\u3044\u308by\u306f\u753b\u50cf\u30c7\u30fc\u30bf\u304b\u3089\u8a08\u7b97\u3057\u305f1\u00d710\u306e\u914d\u5217\u3067\u3001y_\uff08\u30a2\u30f3\u30c0\u30fc\u30d0\u30fc\u4ed8\u304d\uff09\u306flabels\uff08\u753b\u50cf\u304c\u8868\u3059\u6570\u5b57\u30c7\u30fc\u30bf\uff09\u306b\u683c\u7d0d\u3055\u308c\u3066\u3044\u308b1\u00d710\u306e\u914d\u5217\u3067\u3059\u3002<\/p>\n<p><span style=\"color: #0000ff;\"><strong>\u3053\u306e2\u3064\u914d\u5217\u306e\u8aa4\u5dee\u3092\u30af\u30ed\u30b9\u30a8\u30f3\u30c8\u30ed\u30d4\u30fc\u95a2\u6570\u3092\u4f7f\u3063\u3066\u5224\u5b9a\u3057\u3001\u305d\u306e\u8aa4\u5dee\u306e\u5e73\u5747\u5024\u3092tf.reduce_mean()\u3067\u6c42\u3081\u3066\u3044\u308b\u3068\u3044\u3046\u30a4\u30e1\u30fc\u30b8\u3067\u3059\u3002<\/strong><\/span><\/p>\n<h4>\u52fe\u914d\u964d\u4e0b\u6cd5\u3092\u6c7a\u5b9a\u3059\u308b<\/h4>\n<p>\u6b21\u306f\u3001<span style=\"color: #339966;\"><strong>\u52fe\u914d\u964d\u4e0b\u6cd5<\/strong><\/span>\uff08\u8aa4\u5dee\u3092\u5c0f\u3055\u304f\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3059\u308b\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\uff09\u3092\u6c7a\u5b9a\u3057\u307e\u3059\u3002<\/p>\n<p>\u52fe\u914d\u964d\u4e0b\u6cd5\u306f\u3001\u8aa4\u5dee\u95a2\u6570\u3067\u6c42\u3081\u305f\u8aa4\u5dee\u3092\u3069\u306e\u3088\u3046\u306b\u5229\u7528\u3057\u3066\u3001\u30d1\u30e9\u30e1\u30fc\u30bf\u30fc\u3092\u5909\u66f4\u3055\u305b\u308b\u304b\u3092\u6c7a\u5b9a\u3059\u308b\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3067\u3059\u3002<\/p>\n<pre class=\"decode:true \">train_step = tf.train.GradientDescentOptimizer(0.5).minimize(cross_entropy)<\/pre>\n<p>\u300cMNIST For ML Beginners\u300d\u3067\u306f\u3001<span style=\"color: #339966;\"><strong>tf.train.GradientDescentOptimizer()<\/strong><\/span>\u3001\u3064\u307e\u308a<span style=\"color: #339966;\"><strong>\u6700\u6025\u964d\u4e0b\u6cd5<\/strong><\/span>\uff08<span style=\"color: #339966;\"><strong>\u30d0\u30c3\u30c1\u52fe\u914d\u964d\u4e0b\u6cd5<\/strong><\/span>\u3068\u3082\uff09\u3092\u4f7f\u7528\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>\u4ee5\u4e0a\u3067\u3001\u6a5f\u68b0\u5b66\u7fd2\u306e\u30e2\u30c7\u30eb\u304c\u69cb\u7bc9\u3067\u304d\u307e\u3057\u305f\u3002<\/p>\n<h3>\u6a5f\u68b0\u5b66\u7fd2\uff08\u8a13\u7df4\uff09\u3092\u958b\u59cb\u3059\u308b<\/h3>\n<p>\u3044\u3088\u3044\u3088\u6a5f\u68b0\u5b66\u7fd2\u3092\u958b\u59cb\u3057\u307e\u3057\u3087\u3046\u3002<\/p>\n<p>mnist.train\u306b\u683c\u7d0d\u3055\u308c\u3066\u3044\u308b55000\u70b9\u306e\u753b\u50cf\u30c7\u30fc\u30bf\u3068\u3001\u753b\u50cf\u304c\u8868\u3059\u6570\u5b57\u30c7\u30fc\u30bf\u306e\u30da\u30a2\u3092\u4f7f\u3063\u3066\u3001<span style=\"color: #0000ff;\"><strong>\u5148\u306b\u69cb\u7bc9\u3057\u305f\u30e2\u30c7\u30eb\u306e\u6a5f\u68b0\u5b66\u7fd2\uff08\u8a13\u7df4\uff09\u3092\u884c\u3044\u307e\u3059\u3002<\/strong><\/span><\/p>\n<pre class=\"decode:true \">sess = tf.InteractiveSession()\r\ntf.global_variables_initializer().run()\r\n# Train\r\nfor _ in range(1000):\r\n  batch_xs, batch_ys = mnist.train.next_batch(100)\r\n  sess.run(train_step, feed_dict={x: batch_xs, y_: batch_ys})<\/pre>\n<p>\u305f\u3060\u3057\u3001<span style=\"color: #ff0000;\"><strong>55000\u70b9\u306e\u30c7\u30fc\u30bf\u3092\u3059\u3079\u3066\u5229\u7528\u3059\u308b\u306e\u3067\u306f\u306a\u304f<\/strong><\/span>\u3001mnist.train\u304b\u3089100\u500b\u306e\u30da\u30a2\u30c7\u30fc\u30bf\u3092\u30e9\u30f3\u30c0\u30e0\u306b\u53d6\u5f97\u3057\u3066\u6a5f\u68b0\u5b66\u7fd2\uff08\u8a13\u7df4\uff09\u3092\u884c\u3044\u307e\u3059\u3002<\/p>\n<p>100\u500b\u306e\u30da\u30a2\u30c7\u30fc\u30bf\u3092\u4f7f\u3063\u3066\u3001\u6a5f\u68b0\u5b66\u7fd2\uff08\u8a13\u7df4\uff09\u3092\u884c\u3044\u3001\u307e\u3068\u3081\u30661\u56de\u3060\u3051\u30d1\u30e9\u30e1\u30fc\u30bf\u30fcW\u3068b\u3092\u66f4\u65b0\u3057\u307e\u3059\u3002<\/p>\n<p>\u3053\u308c\u30921\u56de\u3068\u6570\u3048\u3066\u3001\u5168\u90e8\u30671000\u56de\u306e\u6a5f\u68b0\u5b66\u7fd2\uff08\u8a13\u7df4\uff09\u3092\u884c\u3063\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>\u5bfe\u8c61\u3068\u306a\u308b\u30da\u30a2\u30c7\u30fc\u30bf\u306e\u6570\u304c100\u00d71000\uff1d100000\u3068\u306a\u308a\u300155000\u70b9\u3092\u512a\u306b\u8d85\u3048\u3066\u3044\u308b\u3053\u3068\u306b\u7591\u554f\u3092\u6301\u3063\u305f\u65b9\u306f\u3001\u306a\u304b\u306a\u304b\u92ed\u3044\u3067\u3059\u3002<\/p>\n<p>\u7d50\u679c\u7684\u306b\u540c\u3058\u30da\u30a2\u30c7\u30fc\u30bf\u3092\u4f55\u5ea6\u3082\u4f7f\u3063\u3066\u3044\u308b\u3053\u3068\u306b\u306a\u308a\u307e\u3059\u304c\u3001\u6bce\u56de\u9055\u3046100\u500b\u306e\u30da\u30a2\u30c7\u30fc\u30bf\u3092\u4f7f\u3046\u3053\u3068\u3067\u3001\u5b66\u7fd2\u7cbe\u5ea6\u304c\u9ad8\u304f\u306a\u308b\u3053\u3068\u3092\u671f\u5f85\u3057\u3066\u3001\u3053\u306e\u3088\u3046\u306a\u65b9\u6cd5\u3092\u3068\u3063\u3066\u3044\u308b\u306e\u3067\u3059\u3002<\/p>\n<p>\u3053\u3053\u3067\u306f\u7c21\u5358\u306b<span style=\"color: #339966;\"><strong>\u300c\u6a5f\u68b0\u5b66\u7fd2\uff08\u8a13\u7df4\uff09\u3092\u884c\u3046\u300d<\/strong><\/span>\u3068\u66f8\u304d\u307e\u3057\u305f\u304c\u3001\u5b9f\u969b\u306b\u306f\u753b\u50cf\u30c7\u30fc\u30bf\u304b\u3089\u3042\u308c\u3053\u308c\u8a08\u7b97\u3057\u3001<span style=\"color: #339966;\"><strong>\u8aa4\u5dee\u9006\u4f1d\u64ad\u6cd5<\/strong><\/span>\u3092\u99c6\u4f7f\u3057\u3066\u30d1\u30e9\u30e1\u30fc\u30bf\u30fcW\u3068b\u3092\u66f4\u65b0\u3059\u308b\u3001\u3068\u3044\u3046\u3088\u3046\u306a\u3053\u3068\u3092\u5c71\u307b\u3069\u8a08\u7b97\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>\u3053\u306e\u5c71\u307b\u3069\u306e\u8a08\u7b97\u3092\u3001<span style=\"color: #0000ff;\"><strong>\u3059\u3079\u3066TensorFlow\u304c\u96a0\u307a\u3044\u3057\u3066\u3044\u308b\u305f\u3081\u3001\u6c17\u8efd\u306b\u6a5f\u68b0\u5b66\u7fd2\u306b\u53d6\u308a\u7d44\u3081\u308b<\/strong><\/span>\u3068\u3044\u3046\u308f\u3051\u3067\u3059\u306d\u3002<\/p>\n<h3>\u8a13\u7df4\u7d50\u679c\u3092\u8a55\u4fa1\u3059\u308b<\/h3>\n<p>\u6a5f\u68b0\u5b66\u7fd2\u306e\u7cbe\u5ea6\u306f\u3001\u30e2\u30c7\u30eb\u306e\u69cb\u7bc9\u65b9\u6cd5\u306b\u3088\u308b\u305f\u3081\u3001<span style=\"color: #ff0000;\"><strong>\u8a13\u7df4\u7d50\u679c\u304c\u601d\u308f\u3057\u304f\u306a\u304b\u3063\u305f\u3089\u30e2\u30c7\u30eb\u3092\u5909\u66f4\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<\/strong><\/span><\/p>\n<p>\u305d\u3053\u3067\u3001\u6a5f\u68b0\u5b66\u7fd2\uff08\u8a13\u7df4\uff09\u304c\u7d42\u308f\u3063\u305f\u3089\u3001\u305d\u306e\u7d50\u679c\u3092\u8a55\u4fa1\u3057\u307e\u3057\u3087\u3046\u3002<\/p>\n<p>\u3053\u3061\u3089\u3082TensorFlow\u3089\u3057\u304f\u3001<span style=\"color: #0000ff;\"><strong>\u8a08\u7b97\u65b9\u6cd5\uff08\u8a55\u4fa1\u65b9\u6cd5\uff09\u3092\u69cb\u7bc9\u3057\u3066\u304b\u3089\u3001\u3042\u3068\u3067\u307e\u3068\u3081\u3066\u8a08\u7b97\u3057\u307e\u3059\u3002<\/strong><\/span><\/p>\n<pre class=\"decode:true \">correct_prediction = tf.equal(tf.argmax(y, 1), tf.argmax(y_, 1))\r\naccuracy = tf.reduce_mean(tf.cast(correct_prediction, tf.float32))<\/pre>\n<p>\u3061\u3087\u3063\u3068\u9577\u304f\u306a\u3063\u3066\u304d\u307e\u3057\u305f\u306e\u3067\u3001y\u3068y_\u306b\u3064\u3044\u3066\u6539\u3081\u3066\u8aac\u660e\u3057\u3066\u304a\u304d\u307e\u3057\u3087\u3046\u3002<\/p>\n<p>y\u306f\u3001\u5148\u306b\u69cb\u7bc9\u3057\u305f\u30e2\u30c7\u30eb\u3092\u4f7f\u3063\u3066\u3001<span style=\"color: #339966;\"><strong>mnist.test.images<\/strong><\/span>\u306e\u753b\u50cf\u30c7\u30fc\u30bf\u304b\u3089\u8a08\u7b97\u3055\u308c\u305f1\u00d710\u306e\u914d\u5217\u3067\u3001\u4ee5\u4e0b\u306e\u3088\u3046\u306b\u3059\u3079\u3066\u306e\u8981\u7d20\u304c0\uff5e1\u306e\u5024\u3092\u683c\u7d0d\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p><span style=\"color: #0000ff;\"><strong>[ 0.18440935 -8.5651245 1.7532194 &#8230; 10.496584 -0.19720328 2.1629303 ]<\/strong><\/span><\/p>\n<p>y_\u306f\u3001<span style=\"color: #339966;\"><strong>mnist.test.labels<\/strong><\/span>\u3001\u3064\u307e\u308amnist.test.images\u306e\u753b\u50cf\u304c\u8868\u3059\u6570\u5b57\u30c7\u30fc\u30bf\u3067\u30011\u3064\u3060\u3051\u300c1\u300d\u304c\u3001\u6b8b\u308a\u306f\u300c0\u300d\u304c\u683c\u7d0d\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<p><span style=\"color: #0000ff;\"><strong>[0. 0. 0. 0. 0. 0. 0. 1. 0. 0.]<\/strong><\/span><\/p>\n<p><span style=\"color: #339966;\"><strong>tf.argmax()<\/strong><\/span>\u3067\u306f\u3001\u914d\u5217\u306e\u4e2d\u3067\u6700\u3082\u5927\u304d\u306a\u5024\u3092\u3082\u3064\u8981\u7d20\u306e\u5834\u6240\u3092\u53d6\u308a\u51fa\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>\u3057\u305f\u304c\u3063\u3066\u3001<span style=\"color: #339966;\"><strong>tf.equal()<\/strong><\/span>\u3067\u306f\u3001\u914d\u5217\u306e\u4e2d\u3067\u6700\u3082\u5927\u304d\u3044\u5024\u3092\u3082\u3064\u8981\u7d20\u304c\u540c\u3058\u5834\u6240\u306b\u3042\u308b\u304b\u3092\u8abf\u3079\u3066\u3044\u308b\u3053\u3068\u306b\u306a\u308a\u307e\u3059\u306d\u3002<\/p>\n<p>\u4e0a\u306e\u4f8b\u3067\u306f\u3001\u3069\u3061\u3089\u3082\u5f8c\u308d\u304b\u30893\u756a\u76ee\u304c\u6700\u3082\u5927\u304d\u304f\u306a\u3063\u3066\u3044\u307e\u3059\u306e\u3067\u3001<span style=\"color: #0000ff;\"><strong>\u6a5f\u68b0\u5b66\u7fd2\u3067\u6b63\u89e3\u3092\u51fa\u305b\u305f\uff01<\/strong><\/span>\u3068\u8003\u3048\u307e\u3059\u3002<\/p>\n<p>\u3064\u307e\u308a\u3001<span style=\"color: #339966;\"><strong>tf.equal(tf.argmax(y, 1), tf.argmax(y_, 1))<\/strong><\/span>\u3067\u306f\u3001\u5148\u306b\u69cb\u7bc9\u3057\u305f\u30e2\u30c7\u30eb\u3067mnist.test.images\u3092\u8a08\u7b97\u3057\u305f\u7d50\u679c\uff08\uff1d\u6a5f\u68b0\u5b66\u7fd2\u3067\u63a8\u6e2c\u3057\u305f\u6570\u5b57\uff09\u3068\u3001mnist.test.labels\uff08\uff1d\u3042\u3089\u304b\u3058\u3081\u5206\u304b\u3063\u3066\u3044\u308b\u6b63\u89e3\uff09\u304c\u540c\u3058\u3067\u3042\u308b\u3053\u3068\u3092\u78ba\u8a8d\u3057\u3066\u3044\u308b\u306e\u3067\u3059\u3002<\/p>\n<p>2\u884c\u76ee\u306e<span style=\"color: #339966;\"><strong>tf.reduce_mean(tf.cast(correct_prediction, tf.float32))<\/strong><\/span>\u3067\u306f\u3001\u6b63\u89e3\u306e\u5e73\u5747\uff08\uff1d\u5168\u90e8\u6b63\u89e3\u3057\u3066\u3044\u308c\u30701\u3001\u5168\u90e8\u8aa4\u3063\u3066\u3044\u308c\u30700\u3067\u3001\u6b63\u89e3\u7387\u3068\u898b\u306a\u305b\u308b\uff09\u3092\u8a08\u7b97\u3057\u307e\u3059\u3002<\/p>\n<p>\u6700\u5f8c\u306b\u8868\u793a\u3059\u308b\u5024\u306f\u3001<span style=\"color: #339966;\"><strong>accuracy\uff08\u6b63\u89e3\u7387\uff09<\/strong><\/span>\u3067\u3059\u3002<\/p>\n<pre class=\"decode:true \">print(sess.run(accuracy, feed_dict={x: mnist.test.images, y_: mnist.test.labels}))<\/pre>\n<p>\u4ee5\u4e0a\u3067\u3001\u300cMNIST For ML Beginners\u300d\u306e\u30d7\u30ed\u30b0\u30e9\u30e0\u306e\u52d5\u4f5c\u3092\u3056\u3063\u304f\u308a\u89e3\u8aac\u3067\u304d\u307e\u3057\u305f\u3002<\/p>\n<h2>TensorFlow\u3067\u5b66\u3076\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u5165\u9580<\/h2>\n<p>\u3082\u3046\u5c11\u3057TensorFlow\u3092\u89e6\u308a\u306a\u304c\u3089\u7406\u89e3\u3092\u9032\u3081\u305f\u3044\u3068\u3044\u3046\u65b9\u306e\u305f\u3081\u306b\u3001\u66f8\u7c4d\u3082\u7d39\u4ecb\u3057\u3066\u304a\u304d\u307e\u3057\u3087\u3046\u3002<\/p>\n<p><!-- START MoshimoAffiliateEasyLink --><script type=\"text\/javascript\">(function(b,c,f,g,a,d,e){b.MoshimoAffiliateObject=a;b[a]=b[a]||function(){arguments.currentScript=c.currentScript||c.scripts[c.scripts.length-2];(b[a].q=b[a].q||[]).push(arguments)};c.getElementById(a)||(d=c.createElement(f),d.src=g,d.id=a,e=c.getElementsByTagName(\"body\")[0],e.appendChild(d))})(window,document,\"script\",\"\/\/dn.msmstatic.com\/site\/cardlink\/bundle.js\",\"msmaflink\");msmaflink({\"n\":\"TensorFlow\u3067\u5b66\u3076\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u5165\u9580 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#339966;\"><strong>\u6a5f\u68b0\u5b66\u7fd2<\/strong><\/span>\u3084<span style=\"color: #339966;\"><strong>TensorFlow<\/strong><\/span>\u306b\u3064\u3044\u3066\u8208\u5473\u304c\u3042\u308b\u4e00\u822c\u306e\u65b9\u5411\u3051\u306b\u66f8\u304b\u308c\u305f\u89e3\u8aac\u672c\u3067\u3059\u3002<\/p>\n<p>TensorFlow\u3092\u5229\u7528\u3057\u3066\u3001<span style=\"color: #0000ff;\"><strong>\u4f55\u304c\u3067\u304d\u308b\u306e\u304b<\/strong><\/span>\u3092\u5b9f\u969b\u306b\u52d5\u304b\u3057\u306a\u304c\u3089\u3001<strong>\u6a5f\u68b0\u5b66\u7fd2\uff08\u7573\u307f\u8fbc\u307f\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\uff09\u306e\u4ed5\u7d44\u307f\u3092\u6839\u672c\u304b\u3089\u7406\u89e3<\/strong>\u3067\u304d\u307e\u3059\u3002<\/p>\n<p><span style=\"color: #339966;\"><strong>\u5c02\u9580\u66f8<\/strong><\/span>\u307b\u3069\u5185\u5bb9\u304c\u6df1\u6398\u308a\u3055\u308c\u3066\u3044\u308b\u8a33\u3067\u306f\u306a\u304f\u3001<span style=\"color: #339966;\"><strong>\u5553\u8499\u66f8<\/strong><\/span>\u3067\u306f\u3042\u307e\u308a\u89e6\u308c\u3089\u308c\u308b\u4e8b\u306e\u306a\u3044<span style=\"color: #0000ff;\"><strong>\u5b9f\u969b\u306e\u30a2\u30ea\u30b4\u30ea\u30ba\u30e0\u306b\u89e6\u308c\u308b<\/strong><\/span>\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n<p>\u307e\u3055\u306b\u3001<span style=\"color: #0000ff;\"><strong>\u3053\u308c\u304b\u3089\u5b66\u7fd2\u3057\u3088\u3046\u3068\u3059\u308b\u4eba<\/strong><\/span>\u306b\u30aa\u30b9\u30b9\u30e1\u3067\u3059\u3002<\/p>\n<h2>\u307e\u3068\u3081<\/h2>\n<p>\u3053\u306e\u8a18\u4e8b\u3067\u306f\u3001\u3042\u3048\u3066<span style=\"color: #339966;\"><strong>\u8aa4\u5dee\u95a2\u6570<\/strong><\/span>\u3084<span style=\"color: #339966;\"><strong>\u30af\u30ed\u30b9\u30a8\u30f3\u30c8\u30ed\u30d4\u30fc\u95a2\u6570<\/strong><\/span>\u3001<span style=\"color: #339966;\"><strong>\u8aa4\u5dee<\/strong><\/span>\u3001<span style=\"color: #339966;\"><strong>\u6700\u6025\u964d\u4e0b\u6cd5<\/strong><\/span>\u306a\u3069\u3001\u6a5f\u68b0\u5b66\u7fd2\u3067\u3088\u304f\u76ee\u306b\u3059\u308b\u5358\u8a9e\u3092\u3044\u304f\u3064\u304b\u51fa\u3057\u307e\u3057\u305f\u3002<\/p>\n<p>\u3053\u306e\u8a18\u4e8b\u304c\u3001<span style=\"color: #0000ff;\"><strong>\u6a5f\u68b0\u5b66\u7fd2\u306e\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3068\u3001TensorFlow\u3092\u4f7f\u3063\u305f\u5834\u5408\u306e\u5b9f\u88c5\u65b9\u6cd5\u3092\u3001\u7d50\u3073\u3064\u3051\u308b\u52a9\u3051\u306b\u306a\u308b\u3053\u3068\u3092\u9858\u3063\u3066\u3044\u307e\u3059\u3002<\/strong><\/span><\/p>\n<p>\u5c11\u3057\u4f59\u8ac7\u306b\u306a\u3063\u3066\u3057\u307e\u3044\u307e\u3059\u304c\u3001\u6a5f\u68b0\u5b66\u7fd2\u306e\u7528\u8a9e\u306f\u307e\u3060\u307e\u3060\u4e00\u822c\u5316\u3055\u308c\u3066\u304a\u3089\u305a\u3001\u540c\u3058\u3082\u306e\u3092\u6307\u3057\u3066\u3044\u3066\u3082\u3001\u8457\u8005\u306b\u3088\u3063\u3066\u8aa4\u5dee\u95a2\u6570\u3068\u547c\u3093\u3060\u308a\u3001\u76ee\u7684\u95a2\u6570\u3068\u547c\u3093\u3060\u308a\u3001\u306f\u305f\u307e\u305f\u640d\u5931\u95a2\u6570\u3068\u547c\u3093\u3060\u308a\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>\u975e\u5e38\u306b\u6b8b\u5ff5\u306a\u3053\u3068\u306b\u3001<span style=\"color: #ff0000;\"><strong>\u3053\u308c\u304c\u5b66\u7fd2\u30b3\u30b9\u30c8\u3092\u4e0a\u3052\u3066\u3044\u308b\u72b6\u614b\u3067\u3059\u3002<\/strong><\/span><\/p>\n<p>\u4e00\u65b9\u3001<span style=\"color: #0000ff;\"><strong>\u4eca\u56de\u7d39\u4ecb\u3057\u305fTensorFlow\u306e\u30b3\u30fc\u30c9\u3067\u3042\u308c\u3070\u3001\u30b3\u30fc\u30c9\u306f\u65e5\u672c\u8a9e\u3088\u308a\u306f\u63fa\u308c\u304c\u5c11\u306a\u3044\u306e\u3067\u3001\u6a5f\u68b0\u5b66\u7fd2\u306e\u5b66\u7fd2\u30b3\u30b9\u30c8\u304c\u3044\u304f\u3089\u304b\u4f4e\u304f\u306a\u308b\u306e\u3067\u306f\u306a\u3044\u3067\u3057\u3087\u3046\u304b\u3002<\/strong><\/span><\/p>\n<p>\u7406\u5c48\u3063\u307d\u3044\u672c\u3067\u6a5f\u68b0\u5b66\u7fd2\u306b\u632b\u6298\u3057\u305d\u3046\u306a\u3042\u306a\u305f\u306b\u3001\u3053\u306e\u8a18\u4e8b\u304c\u5c4a\u304d\u307e\u3059\u3088\u3046\u306b\uff01<\/p>\n<p>\u305d\u3057\u3066\u3001TensorFlow\u306e\u30b3\u30fc\u30c9\u304b\u3089\u3001\u6539\u3081\u3066\u6a5f\u68b0\u5b66\u7fd2\u306e\u7406\u5c48\u306b\u623b\u3063\u3066\u3001\u3069\u3093\u3069\u3093\u7406\u89e3\u3092\u9032\u3081\u3066\u3044\u305f\u3060\u3051\u308c\u3070\u3068\u601d\u3044\u307e\u3059\uff01\u304c\u3093\u3070\u3063\u3066\u304f\u3060\u3055\u3044\uff01<\/p>\n<p>\u306a\u304a\u3001\u4eca\u307e\u3055\u306b\u6a5f\u68b0\u5b66\u7fd2\u306e\u5b66\u7fd2\u3092\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\u6a5f\u68b0\u5b66\u7fd2\u306b\u306f\u6b20\u304b\u305b\u306a\u3044\u8a00\u8a9e\u3067\u3042\u308bPython\u306e\u57fa\u790e\u77e5\u8b58\u304c\u308f\u304b\u308a\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>\u8a71\u984c\u306e\u6a5f\u68b0\u5b66\u7fd2\u306b\u6311\u6226\u3057\u305f\u304f\u3066\u3001\u6a5f\u68b0\u5b66\u7fd2\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30afTensorFlow\uff08\u30c6\u30f3\u30bd\u30eb\u30d5\u30ed\u30fc\uff09\u306b\u76ee\u3092\u4ed8\u3051\u305f\u3082\u306e\u306e\u3001\u516c\u5f0f\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u632b\u6298\u3057\u305d\u3046\u306b\u306a\u3063\u3066\u3044\u307e\u305b\u3093\u304b\uff1f TensorFlow\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3082\u30cf\u30fc\u30c9\u30eb\u306f\u9ad8\u3081\u3067\u3059\u304c [&hellip;]<\/p>\n","protected":false},"author":16433,"featured_media":45239,"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":[2350],"tags":[],"class_list":["post-45209","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-python-study"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>\u3010TensorFlow\u5165\u9580\u3011\u6a5f\u68b0\u5b66\u7fd2\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30afTensorFlow\u3092\u5b66\u307c\u3046 | \u4f8d\u30a8\u30f3\u30b8\u30cb\u30a2\u30d6\u30ed\u30b0<\/title>\n<meta name=\"description\" content=\"\u3053\u306e\u8a18\u4e8b\u3067\u306f\u300c 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