{"id":32,"date":"2019-06-17T15:31:38","date_gmt":"2019-06-17T06:31:38","guid":{"rendered":"https:\/\/www.bigdata-navi.com\/?p=32"},"modified":"2026-06-16T15:06:42","modified_gmt":"2026-06-16T06:06:42","slug":"aiiii","status":"publish","type":"post","link":"https:\/\/www.bigdata-navi.com\/aidrops\/32\/","title":{"rendered":"\u6a5f\u68b0\u5b66\u7fd2\u30e9\u30a4\u30d6\u30e9\u30ea\u30fb\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u304a\u3059\u3059\u308115\u9078\uff1a\u7279\u5fb4\u30fb\u4fbf\u5229\u306a\u70b9\u30fb\u5229\u7528\u65b9\u6cd5\u306a\u3069"},"content":{"rendered":"<p class=\"normal-Txt\">\u6a5f\u68b0\u5b66\u7fd2\u30fb\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u306a\u3069AI\u6280\u8853\u3092\u8eab\u8fd1\u306b\u3057\u305f\u3082\u306e\u306b\u30e9\u30a4\u30d6\u30e9\u30ea\u30fb\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u304c\u3042\u308a\u307e\u3059\u3002\u6a5f\u68b0\u5b66\u7fd2\u7cfb\u306e\u5b9f\u52d9\u3067\u3082\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u4f7f\u7528\u3059\u308b\u30b1\u30fc\u30b9\u306f\u591a\u304f\u3001IT\u30a8\u30f3\u30b8\u30cb\u30a2\u306a\u3069\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u7d4c\u9a13\u8005\u304c\u521d\u3081\u3066\u6a5f\u68b0\u5b66\u7fd2\uff08Machine Learning\uff09\uff0f\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\uff08Deep Learning\uff09\u3092\u5b66\u3076\u969b\u306b\u306f\u3001\u307e\u305a\u306f\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u4f7f\u7528\u3057\u7c21\u5358\u306a\u30b3\u30fc\u30c9\u3092\u66f8\u3044\u3066\u307f\u308b\u3053\u3068\u3082\u304a\u3059\u3059\u3081\u3067\u3059\u3002<\/p>\r\n<p class=\"normal-Txt\">\u305f\u3060\u3057\u3001\u30e9\u30a4\u30d6\u30e9\u30ea\u30fb\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u306f\u4e07\u80fd\u3067\u306f\u3042\u308a\u307e\u305b\u3093\u3002\u5b9f\u73fe\u3057\u305f\u3044\u5185\u5bb9\u306b\u5fdc\u3058\u3066\u3069\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u4f7f\u7528\u3059\u308b\u304b\u9078\u629e\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3057\u3001\u30e9\u30a4\u30d6\u30e9\u30ea\u304c\u624b\u52a9\u3051\u3057\u3066\u304f\u308c\u308b\u90e8\u5206\u306e\u307b\u304b\u306f\u958b\u767a\u304c\u5fc5\u8981\u3067\u3059\u3002<\/p>\r\n<p class=\"normal-Txt\">\u307e\u305f\u3001\u6a5f\u68b0\u5b66\u7fd2\u306b\u5229\u7528\u3067\u304d\u308b\u30e9\u30a4\u30d6\u30e9\u30ea\u3084\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u306f\u8c4a\u5bcc\u306b\u3042\u308b\u305f\u3081\u3001\u305d\u308c\u305e\u308c\u306e\u7279\u5fb4\u3084\u30e1\u30ea\u30c3\u30c8\u30fb\u30c7\u30e1\u30ea\u30c3\u30c8\u306b\u3064\u3044\u3066\u4fef\u77b0\u3057\u3066\u77e5\u308a\u305f\u3044\u3068\u3044\u3046\u65b9\u3082\u591a\u3044\u306e\u3067\u306f\u306a\u3044\u3067\u3057\u3087\u3046\u304b\u3002<\/p>\r\n\r\n<ul class=\"dot-List\">\r\n \t<li>\u305d\u3082\u305d\u3082\u30e9\u30a4\u30d6\u30e9\u30ea\u3084\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3063\u3066\u306a\u3093\u306a\u306e\uff1f<\/li>\r\n \t<li>\u305d\u308c\u305e\u308c\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u5f97\u610f\u306a\u3053\u3068\u3063\u3066\u3042\u308b\u306e\uff1f<\/li>\r\n \t<li>\u3069\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u304c\u4f7f\u3044\u3084\u3059\u3044\u306e\uff1f<\/li>\r\n \t<li>\u73fe\u5834\u3067\u4f7f\u308f\u308c\u3066\u3044\u308b\u5b9f\u7528\u7684\u306a\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u77e5\u308a\u305f\u3044<\/li>\r\n<\/ul>\r\n<p class=\"normal-Txt\">\u305d\u306e\u3088\u3046\u306a\u7591\u554f\u3092\u89e3\u6c7a\u3059\u308b\u305f\u3081\u306b\u3001\u4eca\u56de\u306e\u8a18\u4e8b\u3067\u306f\u3001\u73fe\u5f79\u30a8\u30f3\u30b8\u30cb\u30a2\u304c\u983b\u7e41\u306b\u4f7f\u3063\u3066\u3044\u308b\u304a\u3059\u3059\u3081\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u30fb\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3092\u6398\u308a\u4e0b\u3052\u3066\u89e3\u8aac\u3057\u307e\u3059\u3002\u6a5f\u68b0\u5b66\u7fd2\u3068\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u305d\u308c\u305e\u308c\u306e\u5206\u91ce\u3067\u53b3\u9078\u3057\u305f15\u500b\u306b\u3064\u3044\u3066\u8a73\u3057\u304f\u307f\u3066\u3044\u304d\u307e\u3057\u3087\u3046\u3002<\/p>\r\n\r\n<div class=\"color-Box\">\r\n<h5 class=\"articletit-H5\">\uff1c\u53b3\u9078\uff01\u30e9\u30a4\u30d6\u30e9\u30ea\u30fb\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u4e00\u89a7\uff1e<\/h5>\r\n<h6 class=\"articletit-H6\">\u6a5f\u68b0\u5b66\u7fd2<\/h6>\r\n<p class=\"normal-Txt\">NumPy\uff08\u30ca\u30f3\u30d1\u30a4\uff09\r\nPandas\uff08\u30d1\u30f3\u30c0\u30b9\uff09\r\nSciPy\uff08\u30b5\u30a4\u30d1\u30a4\uff09\r\nMatplotlib\uff08\u30de\u30c3\u30c8\u30d7\u30ed\u30c3\u30c8\u30ea\u30d6\uff09\r\nscikit-learn\uff08\u30b5\u30a4\u30ad\u30c3\u30c8\u30fb\u30e9\u30fc\u30f3\uff09\r\ndlib\uff08\u30c7\u30a3\u30fc\u30ea\u30d6\uff09<\/p>\r\n\r\n<h6 class=\"articletit-H6\">\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0<\/h6>\r\n<p class=\"normal-Txt\">TensorFlow\uff08\u30c6\u30f3\u30bd\u30eb\u30d5\u30ed\u30fc\uff09\r\nKeras\uff08\u30b1\u30e9\u30b9\uff09\r\nChainer\uff08\u30c1\u30a7\u30a4\u30ca\u30fc\uff09\r\nPytorch\uff08\u30d1\u30a4\u30c8\u30fc\u30c1\uff09\r\nMXNet\uff08\u30a8\u30e0\u30a8\u30c3\u30af\u30b9\u30cd\u30c3\u30c8\uff09\r\nDeeplearning4j\uff08DL4j\uff09\r\nMicrosoft Cognitive Toolkit\uff08\u30de\u30a4\u30af\u30ed\u30bd\u30d5\u30c8\u30b3\u30b0\u30cb\u30c6\u30a3\u30d6\u30c4\u30fc\u30eb\u30ad\u30c3\u30c8\uff09\r\nPaddlePaddle\uff08\u30d1\u30c9\u30eb\u30d1\u30c9\u30eb\uff09\r\nCaffe\uff08\u30ab\u30d5\u30a7\uff09<\/p>\r\n\r\n<\/div>\r\n<!-- \/.color-Box-->\r\n<p class=\"normal-Txt\">\u3068\u305d\u306e\u524d\u306b\u3001\u30e9\u30a4\u30d6\u30e9\u30ea\u306b\u3064\u3044\u3066\u3001\u7c21\u5358\u306b\u8aac\u660e\u3057\u307e\u3059\u3002<\/p>\r\n<p class=\"normal-Txt\">\u30e9\u30a4\u30d6\u30e9\u30ea\u3068\u306f\u3001\u7279\u5b9a\u306e\u51e6\u7406\u3092\u518d\u5229\u7528\u3059\u308b\u305f\u3081\u306b\u304d\u308a\u3060\u3055\u308c\u305f\u30d7\u30ed\u30b0\u30e9\u30e0\u306e\u4e00\u90e8\u3067\u3059\u3002\u306a\u306b\u304b\u51e6\u7406\u3092\u884c\u3046\u6642\u306b\u3001\u81ea\u5206\u30670\u304b\u3089\u5168\u90e8\u306e\u51e6\u7406\u3092\u304b\u304b\u306a\u304f\u3066\u3082\u3001\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u3064\u304b\u3048\u3070\u7c21\u5358\u306b\u7279\u5b9a\u306e\u51e6\u7406\u3092\u884c\u3046\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\r\n\u81ea\u5206\u304c\u66f8\u3051\u306a\u3044\u8907\u96d1\u306a\u51e6\u7406\u3082\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u3046\u307e\u304f\u6d3b\u7528\u3059\u308c\u3070\u3001\u7c21\u5358\u306b\u5b9f\u88c5\u3059\u308b\u3053\u3068\u3082\u53ef\u80fd\u3067\u3059\u3002<\/p>\r\n<p class=\"normal-Txt\">OSS\uff08\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\uff09\u3068\u3057\u3066\u7121\u6599\u3067\u914d\u5e03\u3055\u308c\u3066\u3044\u308b\u3082\u306e\u3082\u591a\u304f\u3001\u30bd\u30fc\u30b9\u30b3\u30fc\u30c9\u3092\u6539\u5909\u3057\u3066\u81ea\u8eab\u306e\u30d7\u30ed\u30c0\u30af\u30c8\u306b\u53d6\u308a\u8fbc\u3080\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u3002\u305d\u306e\u3088\u3046\u306b\u3001\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u4f7f\u3046\u3068\u3001\u6a5f\u68b0\u5b66\u7fd2\u306e\u30b3\u30a2\u306a\u90e8\u5206\u3092\u4e00\u304b\u3089\u30b3\u30fc\u30c7\u30a3\u30f3\u30b0\u3059\u308b\u5fc5\u8981\u304c\u306a\u304f\u3068\u3066\u3082\u4fbf\u5229\u3067\u3059\u3002<\/p>\r\n<p class=\"normal-Txt\">\u3067\u306f\u3001\u3055\u3063\u305d\u304f\u305d\u3093\u306a\u4fbf\u5229\u306a\u30e9\u30a4\u30d6\u30e9\u30ea\u306b\u3064\u3044\u3066\u3001\u305d\u308c\u305e\u308c\u5b66\u3093\u3067\u3044\u304d\u307e\u3057\u3087\u3046\u3002<\/p>\r\n\r\n<div id=\"toc_container\" class=\"no_bullets\"><p class=\"toc_title\">\u76ee\u6b21<\/p><ul class=\"toc_list\"><li><a href=\"#i\"><span class=\"toc_number toc_depth_1\">1<\/span> \u6a5f\u68b0\u5b66\u7fd2\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u30fb\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af<\/a><ul><li><a href=\"#NumPy\"><span class=\"toc_number toc_depth_2\">1.1<\/span> NumPy\uff08\u30ca\u30f3\u30d1\u30a4\uff09<\/a><\/li><li><a href=\"#Pandas\"><span class=\"toc_number toc_depth_2\">1.2<\/span> Pandas\uff08\u30d1\u30f3\u30c0\u30b9\uff09<\/a><\/li><li><a href=\"#SciPy\"><span class=\"toc_number toc_depth_2\">1.3<\/span> SciPy\uff08\u30b5\u30a4\u30d1\u30a4\uff09<\/a><\/li><li><a href=\"#Matplotlib\"><span class=\"toc_number toc_depth_2\">1.4<\/span> Matplotlib\uff08\u30de\u30c3\u30c8\u30d7\u30ed\u30c3\u30c8\u30ea\u30d6\uff09<\/a><\/li><li><a href=\"#scikit-learn\"><span class=\"toc_number toc_depth_2\">1.5<\/span> scikit-learn\uff08\u30b5\u30a4\u30ad\u30c3\u30c8\u30fb\u30e9\u30fc\u30f3\uff09<\/a><\/li><li><a href=\"#dlib\"><span class=\"toc_number toc_depth_2\">1.6<\/span> dlib\uff08\u30c7\u30a3\u30fc\u30ea\u30d6\uff09<\/a><\/li><\/ul><\/li><li><a href=\"#i-2\"><span class=\"toc_number toc_depth_1\">2<\/span> \u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u30fb\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af<\/a><ul><li><a href=\"#TensorFlow\"><span class=\"toc_number toc_depth_2\">2.1<\/span> TensorFlow\uff08\u30c6\u30f3\u30bd\u30eb\u30d5\u30ed\u30fc\uff09<\/a><\/li><li><a href=\"#Keras\"><span class=\"toc_number toc_depth_2\">2.2<\/span> Keras\uff08\u30b1\u30e9\u30b9\uff09<\/a><\/li><li><a href=\"#Chainer\"><span class=\"toc_number toc_depth_2\">2.3<\/span> Chainer (\u30c1\u30a7\u30a4\u30ca\u30fc)<\/a><\/li><li><a href=\"#Pytorch\"><span class=\"toc_number toc_depth_2\">2.4<\/span> Pytorch\uff08\u30d1\u30a4\u30c8\u30fc\u30c1\uff09<\/a><\/li><li><a href=\"#MXNet\"><span class=\"toc_number toc_depth_2\">2.5<\/span> MXNet\uff08\u30a8\u30e0\u30a8\u30c3\u30af\u30b9\u30cd\u30c3\u30c8\uff09<\/a><\/li><li><a href=\"#Deeplearning4jDL4j\"><span class=\"toc_number toc_depth_2\">2.6<\/span> Deeplearning4j\uff08DL4j\uff09<\/a><\/li><li><a href=\"#Microsoft_Cognitive_Toolkit\"><span class=\"toc_number toc_depth_2\">2.7<\/span> Microsoft Cognitive Toolkit\uff08\u30de\u30a4\u30af\u30ed\u30bd\u30d5\u30c8\u30b3\u30b0\u30cb\u30c6\u30a3\u30d6\u30c4\u30fc\u30eb\u30ad\u30c3\u30c8\uff09<\/a><\/li><li><a href=\"#PaddlePaddle\"><span class=\"toc_number toc_depth_2\">2.8<\/span> PaddlePaddle\uff08\u30d1\u30c9\u30eb\u30d1\u30c9\u30eb\uff09<\/a><\/li><li><a href=\"#Caffe\"><span class=\"toc_number toc_depth_2\">2.9<\/span> Caffe\uff08\u30ab\u30d5\u30a7\uff09<\/a><\/li><\/ul><\/li><li><a href=\"#i-3\"><span class=\"toc_number toc_depth_1\">3<\/span> \u6a5f\u68b0\u5b66\u7fd2\u3092\u4f53\u7cfb\u7684\u306b\u7406\u89e3\u3059\u308b\u306b\u306f<\/a><\/li><li><a href=\"#i-4\"><span class=\"toc_number toc_depth_1\">4<\/span> \u307e\u3068\u3081<\/a><\/li><\/ul><\/div>\n<h2 class=\"articletit-H2\"><span id=\"i\">\u6a5f\u68b0\u5b66\u7fd2\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u30fb\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af<\/span><\/h2>\r\n<figure class=\"img-Wide\"><img decoding=\"async\" src=\"https:\/\/www.bigdata-navi.com\/aidrops\/wp-content\/uploads\/2025\/07\/shutterstock_2508127943-.jpg\" alt=\"\u6a5f\u68b0\u5b66\u7fd2\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u30fb\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\" \/><\/figure>\r\n<p class=\"normal-Txt\">\u307e\u305a\u306f\u6a5f\u68b0\u5b66\u7fd2\uff08Machine Learning\u30de\u30b7\u30f3\u30e9\u30fc\u30cb\u30f3\u30b0\uff09\u3067\u4f7f\u7528\u3067\u304d\u308b\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u78ba\u8a8d\u3057\u3066\u3044\u304d\u307e\u3057\u3087\u3046\u3002\u7279\u5fb4\u3001\u4fbf\u5229\u306a\u70b9\u3001\u5229\u7528\u30b7\u30fc\u30f3\u306a\u3069\u306e\u304a\u3059\u3059\u3081\u3092\u7d39\u4ecb\u3057\u307e\u3059\u3002<\/p>\r\n\r\n<h3 class=\"articletit-H3\"><span id=\"NumPy\">NumPy\uff08\u30ca\u30f3\u30d1\u30a4\uff09<\/span><\/h3>\r\n<h4 class=\"articletit-H4\">NumPy\u306e\u7279\u5fb4<\/h4>\r\n<p class=\"normal-Txt\">NumPy\u3068\u306f\u3001\u6570\u5024\u8a08\u7b97\u3092\u884c\u3046\u305f\u3081\u306e\u5b9a\u756a\u30e9\u30a4\u30d6\u30e9\u30ea\u306e1\u3064\u3067\u3001\u300c\u30ca\u30f3\u30d1\u30a4\u300d\u307e\u305f\u306f\u300c\u30ca\u30e0\u30d1\u30a4\u300d\u3068\u8aad\u307f\u307e\u3059\u3002<\/p>\r\n<p class=\"normal-Txt\">NumPy\u306f\u6a5f\u68b0\u5b66\u7fd2\u3060\u3051\u3067\u306a\u304f\u3001\u591a\u8a00\u8a9e\u914d\u5217\u3084\u753b\u50cf\u51e6\u7406\u30fb\u97f3\u58f0\u51e6\u7406\u306b\u3082\u6d3b\u7528\u3067\u304d\u308b\u5229\u7528\u983b\u5ea6\u306e\u9ad8\u3044\u30e9\u30a4\u30d6\u30e9\u30ea\u306a\u306e\u3067\u3001Python\u3092\u5b66\u7fd2\u3059\u308b\u969b\u306b\u5408\u308f\u305b\u3066\u3053\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u7fd2\u5f97\u3057\u3066\u304a\u304d\u307e\u3057\u3087\u3046\u3002<\/p>\r\n<p class=\"normal-Txt\">NumPy\u306f\u3001\u6570\u5024\u8a08\u7b97\u3092\u5f97\u610f\u3068\u3059\u308b\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3059\u304c\u3001\u5f8c\u307b\u3069\u3054\u7d39\u4ecb\u3059\u308bSciPy\u3092\u8ffd\u52a0\u3059\u308b\u4e8b\u3067\u3001\u3055\u3089\u306b\u9ad8\u5ea6\u306a\u79d1\u5b66\u8a08\u7b97\u3092\u51e6\u7406\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\r\n\r\n<h4 class=\"articletit-H4\">NumPy\u306e\u4fbf\u5229\u306a\u70b9<\/h4>\r\n<p class=\"normal-Txt\">NumPy\u306f\u6570\u5024\u8a08\u7b97\u306e\u4e2d\u3067\u3001\u7279\u306b\u914d\u5217\u51e6\u7406\u80fd\u529b\u306b\u512a\u308c\u3066\u3044\u307e\u3059\u3002Python\u3067\u3082\u8a08\u7b97\u3059\u308b\u3053\u3068\u306f\u53ef\u80fd\u3067\u3059\u304c\u3001\u30a4\u30f3\u30bf\u30d7\u30ea\u30bf\u578b\u306e\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u8a00\u8a9e\u306e\u305f\u3081\u3001\u5b9f\u884c\u901f\u5ea6\u304c\u9045\u304f\u3001\u51e6\u7406\u306b\u6642\u9593\u304c\u304b\u304b\u308a\u307e\u3059\u3002NumPy\u306fC\u8a00\u8a9e\u3084Fortran\u3068\u3044\u3063\u305f\u30b3\u30f3\u30d1\u30a4\u30eb\u578b\u8a00\u8a9e\u3067\u5b9f\u88c5\u3055\u308c\u3066\u3044\u308b\u305f\u3081\u3001\u51e6\u7406\u901f\u5ea6\u304c\u9ad8\u901f\u3067\u3059\u3002\r\nPython\u672c\u4f53\u3068\u3001Python\u3067\u3088\u304f\u5229\u7528\u3055\u308c\u308b\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u30bb\u30c3\u30c8\u306b\u3057\u305f\u30d1\u30c3\u30b1\u30fc\u30b8\u3067\u3042\u308b\u300cAnaconda\u300d\u306b\u6a19\u6e96\u642d\u8f09\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\r\n<p class=\"normal-Txt\">\u307e\u305f\u30c7\u30fc\u30bf\u5206\u6790\u306b\u304a\u3044\u3066\u3001\u30c7\u30fc\u30bf\u3092\u53d7\u3051\u6e21\u3059\u305f\u3081\u306e\u30c7\u30fc\u30bf\u30b3\u30f3\u30c6\u30ca\u3068\u3057\u3066\u306e\u5f79\u5272\u3082\u3042\u308a\u307e\u3059\u3002\r\nNumPy.\u306bC\u8a00\u8a9e\u547c\u3073\u51fa\u3057\u306eAPI\u304c\u3042\u308b\u4e8b\u3067\u3001NumPy\u304b\u3089\u5916\u90e8\u30e9\u30a4\u30d6\u30e9\u30ea\u3078\u30c7\u30fc\u30bf\u3092\u53d7\u3051\u6e21\u3059\u3053\u3068\u304c\u3067\u304d\u305f\u308a\u3001\u9006\u306b\u5916\u90e8\u30e9\u30a4\u30d6\u30e9\u30ea\u306e\u8a08\u7b97\u7d50\u679c\u3092NumPy\u306b\u623b\u3059\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u3053\u306e\u6a5f\u80fd\u306b\u3088\u3063\u3066\u3001NumPy\u306f\u65e2\u5b58\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u7c21\u5358\u306b\u547c\u3073\u51fa\u305b\u308b\u3001\u52d5\u7684\u30a4\u30f3\u30bf\u30fc\u30d5\u30a7\u30fc\u30b9\u3068\u3057\u3066\u306e\u5f79\u5272\u3092\u62c5\u3063\u3066\u3044\u307e\u3059\u3002<\/p>\r\n\r\n<h4 class=\"articletit-H4\">NumPy\u306e\u5229\u7528\u30b7\u30fc\u30f3<\/h4>\r\n<p class=\"normal-Txt\">NumPy\u306f\u3001\u30d9\u30af\u30c8\u30eb\u3084\u884c\u5217\u3068\u3044\u3063\u305f\u591a\u6b21\u5143\u914d\u5217\u3092Python\u3088\u308a\u65e9\u304f\u52b9\u7387\u7684\u306b\u51e6\u7406\u3059\u308b\u5fc5\u8981\u304c\u3042\u308b\u30d7\u30ed\u30b0\u30e9\u30e0\u3067\u5229\u7528\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\r\n<p class=\"normal-Txt\">\u307e\u305fNumPy\u306f\u5927\u898f\u6a21\u306e\u30c7\u30fc\u30bf\u51e6\u7406\u306b\u512a\u308c\u3066\u3044\u308b\u3060\u3051\u3067\u306f\u306a\u304f\u3001\u4ed6\u30e9\u30a4\u30d6\u30e9\u30ea\u3068\u9023\u7d50\u3059\u308b\u3053\u3068\u304c\u3042\u308a\u307e\u3059\u3002\u4f8b\u3048\u3070\u300cPandas\u300d\u300cSciPy\u300d\u300cScikit-learn\u300d\u3068\u3044\u3063\u305f\u30e9\u30a4\u30d6\u30e9\u30ea\u3068\u9023\u7d50\u3057\u3066\u4f7f\u7528\u3059\u308b\u3053\u3068\u304c\u5b9f\u969b\u306e\u696d\u52d9\u3067\u591a\u6570\u767a\u751f\u3057\u307e\u3059\u3002\u6a5f\u68b0\u5b66\u7fd2\u306e\u4e16\u754c\u3067\u306f\u3001\u304b\u306a\u308a\u9ad8\u3044\u78ba\u7387\u3067\u4f7f\u3046\u3053\u3068\u306b\u306a\u308b\u30e9\u30a4\u30d6\u30e9\u30ea\u306a\u306e\u3067\u3001NumPy\u306e\u914d\u5217\u6307\u5411\u306e\u8a08\u7b97\u624b\u6cd5\u3092\u77e5\u3063\u3066\u304a\u304f\u3053\u3068\u3067\u4ed6\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u6d3b\u7528\u3059\u308b\u6642\u306e\u5f37\u529b\u306a\u6b66\u5668\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\r\n\r\n<h3 class=\"articletit-H3\"><span id=\"Pandas\">Pandas\uff08\u30d1\u30f3\u30c0\u30b9\uff09<\/span><\/h3>\r\n<h4 class=\"articletit-H4\">Pandas\u306e\u7279\u5fb4<\/h4>\r\n<p class=\"normal-Txt\">Pandas\u306f\u3001\u6570\u8868\u304a\u3088\u3073\u6642\u7cfb\u5217\u306e\u30c7\u30fc\u30bf\u64cd\u4f5c\u3084\u30c7\u30fc\u30bf\u69cb\u9020\u3092\u5909\u66f4\u3059\u308b\u306a\u3069\u3001\u30c6\u30fc\u30d6\u30eb\u30c7\u30fc\u30bf\u3092\u53d6\u308a\u6271\u3048\u308b\u3088\u3046\u306b\u3059\u308b\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3001\u300c\u30d1\u30f3\u30c0\u30b9\u300d\u307e\u305f\u306f\u300c\u30d1\u30f3\u30c0\u30ba\u300d\u3001\u300c\u30d1\u30f3\u30c0\u300d\u3068\u3082\u8aad\u307f\u307e\u3059\u3002\r\n\u6a5f\u68b0\u5b66\u7fd2\u306b\u304a\u3044\u3066\u3001\u5927\u91cf\u306e\u30c7\u30fc\u30bf\u3092AI\u306b\u5b66\u7fd2\u3055\u305b\u307e\u3059\u304c\u3001\u6700\u7d42\u7684\u306a\u30e2\u30c7\u30eb\u7cbe\u5ea6\u3092\u3088\u308a\u9ad8\u3081\u308b\u305f\u3081\u306b\u306f\u3001\u4e0d\u8981\u306a\u30c7\u30fc\u30bf\u3092\u53d6\u308a\u9664\u304d\u3001\u5fc5\u8981\u306a\u30c7\u30fc\u30bf\u3092\u7cbe\u67fb\u3059\u308b\u524d\u51e6\u7406\u3092\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\r\nPandas\u306f\u305d\u306e\u524d\u51e6\u7406\u306e\u969b\u306b\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u51e6\u7406\u3092\u52b9\u7387\u5316\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3059\u308b\u6a5f\u68b0\u5b66\u7fd2\u30a8\u30f3\u30b8\u30cb\u30a2\u306b\u5fc5\u9808\u3068\u306a\u308a\u3064\u3064\u3042\u308b\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3059\u3002<\/p>\r\n<p class=\"normal-Txt\">Python\u3068\u3088\u304f\u6bd4\u8f03\u3055\u308c\u308b\u30d7\u30ed\u30d6\u30e9\u30df\u30f3\u30b0\u8a00\u8a9e\u306b\u3001R\u8a00\u8a9e\u304c\u3042\u308a\u307e\u3059\u3002\r\nR\u8a00\u8a9e\u306f\u3001\u7d71\u8a08\u5206\u6790\u306b\u7279\u5316\u3057\u305f\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u8a00\u8a9e\u3067\u3001\u30d9\u30af\u30c8\u30eb\u51e6\u7406\u3084\u30c7\u30fc\u30bf\u5206\u6790\u3001\u30b0\u30e9\u30d5\u306b\u3088\u308b\u53ef\u8996\u5316\u304c\u3067\u304d\u307e\u3059\u3002\r\n\u3053\u3046\u3044\u3063\u305f\u7d71\u8a08\u5206\u6790\u3092Python\u3067\u53ef\u80fd\u3059\u308b\u305f\u3081\u306b\u5229\u7528\u3055\u308c\u308b\u30e9\u30a4\u30d6\u30e9\u30ea\u304cPandas\u3067\u3059\u3002<\/p>\r\n<p class=\"normal-Txt\">\u307e\u305f\u3001Pandas \u306f\u91cd\u8981\u306a\u30b3\u30fc\u30c9\u3092C\u8a00\u8a9e\u3067\u5b9f\u88c5\u3057\u3066\u3044\u308b\u305f\u3081\u3001NumPy\u540c\u69d8\u3001\u9ad8\u901f\u306b\u51e6\u7406\u3059\u308b\u3053\u3068\u304c\u53ef\u80fd\u3067\u3059\u3002<\/p>\r\n\r\n<h4 class=\"articletit-H4\">Pandas\u306e\u4fbf\u5229\u306a\u70b9<\/h4>\r\n<p class=\"normal-Txt\">Pandas\u306f\u3001NumPy\u3067\u4f5c\u6210\u3055\u308c\u305f\u30c7\u30fc\u30bf\u306e\u52a0\u5de5\u3084\u5165\u51fa\u529b\u304c\u53ef\u80fd\u3067\u3059\u3002\u6570\u5024\u4ee5\u5916\u306e\u30c7\u30fc\u30bf\u51e6\u7406\u3092\u884c\u3046\u5834\u5408\u306bPandas\u3092\u4f7f\u3046\u3068\u4fbf\u5229\u3067\u3059\u3002SQL\u3068\u4f3c\u305f\u64cd\u4f5c\u3067\u30c7\u30fc\u30bf\u52a0\u5de5\u304c\u884c\u3048\u308b\u305f\u3081\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u89e6\u3063\u3066\u3044\u308b\u4eba\u306f\u4f7f\u3044\u3084\u3059\u3044\u3067\u3059\u3002\u307e\u305f\u3001\u5024\u306b\u5bfe\u3059\u308b\u30e9\u30d9\u30eb\u4ed8\u3051\u3092\u7c21\u5358\u306b\u884c\u3048\u308b\u305f\u3081\u3001\u6a5f\u68b0\u5b66\u7fd2\u306e\u524d\u51e6\u7406\u306a\u3069\u306e\u5de5\u7a0b\u3092\u52b9\u7387\u7684\u306b\u884c\u3046\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\r\n<p class=\"normal-Txt\">Numpy\u3068\u540c\u3058\u304f\u3001Python\u30d1\u30c3\u30b1\u30fc\u30b8\u3067\u3042\u308b\u300cAnaconda\u300d\u306b\u642d\u8f09\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\r\n<p class=\"normal-Txt\">\u5408\u8a08\u3084\u5e73\u5747\u3060\u3051\u3067\u306a\u304f\u3001\u5206\u6563\u3084\u6a19\u6e96\u504f\u5dee\u3068\u3044\u3063\u305f\u6a5f\u68b0\u5b66\u7fd2\u306b\u304a\u3044\u3066\u5fc5\u9808\u3068\u306a\u308b\u7d71\u8a08\u91cf\u3082\u7c21\u5358\u306b\u51e6\u7406\u3067\u304d\u307e\u3059\u3002\r\n\u307e\u305f\u3001\u6a5f\u68b0\u5b66\u7fd2\u3067\u3088\u304f\u884c\u308f\u308c\u308b\u7279\u5b9a\u6761\u4ef6\u306e\u30c7\u30fc\u30bf\u3092\u9664\u5916\u3059\u308b\u51e6\u7406\u3082\u3001SQL\u3092\u66f8\u304f\u3088\u3046\u306b\u8a18\u8ff0\u3067\u304d\u307e\u3059\u3002<\/p>\r\n<p class=\"normal-Txt\">\u4ed6\u306b\u3082\u30bd\u30fc\u30c8\u3001\u6b20\u640d\u5024\u306e\u88dc\u5b8c\u3001\u30b0\u30e9\u30d5\u306e\u63cf\u753b\u7b49\u3001\u30c6\u30fc\u30d6\u30eb\u30c7\u30fc\u30bf\u3092\u53d6\u308a\u6271\u3046\u4e0a\u3067\u5fc5\u9808\u306e\u30e1\u30bd\u30c3\u30c9\u3092\u591a\u304f\u5099\u3048\u3066\u3044\u307e\u3059\u3002<\/p>\r\n\r\n<h4 class=\"articletit-H4\">Pandas\u306e\u5229\u7528\u30b7\u30fc\u30f3<\/h4>\r\n<p class=\"normal-Txt\">Pandas\u306f\u4e00\u822c\u7684\u306a\u8868\u8a08\u7b97\u304b\u3089\u3001\u7d71\u8a08\u91cf\u306e\u7b97\u51fa\u3001\u30c7\u30fc\u30bf\u6574\u5f62\u3001csv\u7b49\u306e\u3055\u307e\u3056\u307e\u306a\u30d5\u30a9\u30fc\u30de\u30c3\u30c8\u3067\u306e\u5165\u51fa\u529b\u3068\u3044\u3063\u305f\u3001\u30c6\u30fc\u30d6\u30eb\u30c7\u30fc\u30bf\u3092\u6271\u3046\u5834\u5408\u306b\u3001\u305d\u306e\u8c4a\u5bcc\u306a\u6a5f\u80fd\u9762\u304b\u3089\u5229\u7528\u3055\u308c\u308b\u30c7\u30fc\u30bf\u5206\u6790\u306b\u5fc5\u9808\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3059\u3002<\/p>\r\n<p class=\"normal-Txt\">\u307e\u305fPandas\u306f\u91d1\u878d\u30c7\u30fc\u30bf\u3092\u53d6\u308a\u6271\u3046\u305f\u3081\u306b\u6700\u3082\u9069\u3057\u305f\u6642\u7cfb\u5217\u5206\u6790\u6a5f\u80fd\u3092\u3082\u3063\u3066\u3044\u308b\u305f\u3081\u3001\u91d1\u878d\u30c7\u30fc\u30bf\u5206\u6790\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u306b\u3082\u5229\u7528\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u3053\u308c\u306f\u3082\u3068\u3082\u3068\u6295\u8cc7\u9280\u884c\u306b\u52e4\u3081\u3066\u3044\u305f\u4eba\u306b\u3088\u3063\u3066\u4f5c\u3089\u308c\u305f\u304b\u3089\u304b\u3082\u3057\u308c\u307e\u305b\u3093\u306d\u3002<\/p>\r\n<p class=\"normal-Txt\">\u305d\u306e\u307b\u304b\u306b\u306f\u3001\u6a5f\u68b0\u5b66\u7fd2\u3067\u30c7\u30fc\u30bf\u5206\u6790\u3092\u884c\u3046\u524d\u51e6\u7406\u3067\u3042\u308b\u30c7\u30fc\u30bf\u306e\u8aad\u307f\u8fbc\u307f\u3084\u30af\u30ea\u30fc\u30cb\u30f3\u30b0\u3068\u3044\u3063\u305f\u4f5c\u696d\u3067\u3088\u304f\u5229\u7528\u3055\u308c\u3066\u3044\u307e\u3059\u3002\r\n\u5b9f\u969b\u306e\u696d\u52d9\u3067\u3082\u3001Pandas\u3067\u66f8\u304b\u308c\u305f\u524d\u51e6\u7406\u306e\u30b9\u30af\u30ea\u30d7\u30c8\u3092\u6e21\u3055\u308c\u308b\u3053\u3068\u306f\u591a\u3005\u3042\u308b\u305f\u3081\u30011\u3064\u3067\u3082\u591a\u304f\u306e\u6a5f\u80fd\u306e\u4f7f\u3044\u65b9\u3092\u3001\u5b9f\u969b\u306b\u89e6\u3063\u3066\u77e5\u3063\u3066\u304a\u304f\u3053\u3068\u3092\u304a\u3059\u3059\u3081\u3057\u307e\u3059\u3002<\/p>\r\n\r\n<h3 class=\"articletit-H3\"><span id=\"SciPy\">SciPy\uff08\u30b5\u30a4\u30d1\u30a4\uff09<\/span><\/h3>\r\n<h4 class=\"articletit-H4\">SciPy\u306e\u7279\u5fb4<\/h4>\r\n<p class=\"normal-Txt\">SciPy\u306f\u3001\u4fe1\u53f7\u51e6\u7406\u3084\u7d71\u8a08\u306a\u3069\u306e\u79d1\u5b66\u8a08\u7b97\u7528\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3059\u3002\u8a9e\u6e90\u306f Science + Python \u306b\u7531\u6765\u3057\u3066\u304a\u308a\u3001\u65e5\u672c\u8a9e\u3067\u306f\u300c\u30b5\u30a4\u30d1\u30a4\u300d\u3068\u547c\u3073\u307e\u3059\u3002\r\nSciPy\u3067\u306fNumpy\u3067\u884c\u3048\u308b\u914d\u5217\u3084\u884c\u5217\u306e\u6f14\u7b97\u306f\u3082\u3061\u308d\u3093\u3001\u3055\u3089\u306b\u4fe1\u53f7\u51e6\u7406\u3084\u7d71\u8a08\u3068\u3044\u3063\u305f\u8a08\u7b97\u304c\u3067\u304d\u308b\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3059\u3002\r\nNumPy\u3088\u308a\u3082\u9ad8\u5ea6\u306a\u6570\u5024\u8a08\u7b97\u51e6\u7406\u3092\u884c\u3046\u5834\u5408\u306f\u3001SciPy\u3092\u5229\u7528\u3059\u308b\u30a4\u30e1\u30fc\u30b8\u3067\u3059\u3002<\/p>\r\n\r\n<h4 class=\"articletit-H4\">SciPy\u306e\u4fbf\u5229\u306a\u70b9<\/h4>\r\n<p class=\"normal-Txt\">SciPy\u306f\u7d71\u8a08\u3001\u6700\u9069\u5316\u3001\u88dc\u5b8c\u3001\u7a4d\u5206\u3001\u7dda\u5f62\u4ee3\u6570\u3001\u30d5\u30fc\u30ea\u30a8\u5909\u63db\u3001\u4fe1\u53f7\u51e6\u7406\u3001\u753b\u50cf\u51e6\u7406\u3001\u907a\u4f1d\u7684\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3001ODE\u30bd\u30eb\u30d0\u3001\u7279\u6b8a\u95a2\u6570\u3068\u3044\u3063\u305f\u3001\u9ad8\u5ea6\u306a\u79d1\u5b66\u6280\u8853\u8a08\u7b97\u51e6\u7406\u3092Python\u3092\u4f7f\u3063\u3066\u5b9f\u884c\u53ef\u80fd\u306b\u3057\u307e\u3059\u3002\u79d1\u5b66\u8a08\u7b97\u9818\u57df\u306b\u304a\u3051\u308b\u4e00\u822c\u7684\u306a\u554f\u984c\u306b\u53d6\u308a\u7d44\u3081\u308b\u30d1\u30c3\u30b1\u30fc\u30b8\u7fa4\u3068\u306a\u3063\u3066\u304a\u308a\u3001\u5404\u30d1\u30c3\u30b1\u30fc\u30b8\u306b\u3088\u3063\u3066\u5f97\u610f\u306a\u51e6\u7406\u306f\u5909\u308f\u3063\u3066\u304d\u307e\u3059\u3002\u3053\u3061\u3089\u306f\u5f8c\u307b\u3069\u3001\u3044\u304f\u3064\u304b\u4f8b\u3092\u3054\u7d39\u4ecb\u3044\u305f\u3057\u307e\u3059\u3002<\/p>\r\n<p class=\"normal-Txt\">\u3053\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u3082Numpy\u3084Pandas\u3068\u540c\u69d8\u306b\u300cAnaconda\u300d\u306b\u642d\u8f09\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\r\n\r\n<h4 class=\"articletit-H4\">SciPy\u306e\u5229\u7528\u30b7\u30fc\u30f3<\/h4>\r\n<p class=\"normal-Txt\">\u4f8b\u3048\u3070\u3001\u4e0b\u8a18\u306e\u3088\u3046\u306a\u8a08\u7b97\u51e6\u7406\u3092\u884c\u3044\u305f\u3044\u5834\u5408\u306b\u3001SciPy\u3092\u5229\u7528\u3057\u307e\u3059\u3002\r\nSciPy\u306f\u4e3b\u306b\u7279\u5b9a\u306e\u4f5c\u696d\u5411\u3051\u306e\u30d1\u30c3\u30b1\u30fc\u30b8\u304b\u3089\u69cb\u6210\u3055\u308c\u3066\u304a\u308a\u3001\u305d\u308c\u305e\u308c\u3067\u5f97\u610f\u3068\u3059\u308b\u79d1\u5b66\u6280\u8853\u8a08\u7b97\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\r\n<p class=\"normal-Txt\">cluster\uff1a\u968e\u5c64\u7684\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u3001\u30d9\u30af\u30c8\u30eb\u91cf\u5b50\u5316\u3001K\u5e73\u5747\r\nfftpack: \u96e2\u6563\u30d5\u30fc\u30ea\u30a8\u5909\u63db\r\nintegrate\uff1a\u6570\u5024\u7a4d\u5206\u30eb\u30fc\u30c1\u30f3\u3001\u5fae\u5206\u65b9\u7a0b\u5f0f\u30bd\u30eb\u30d0\r\nlinalg\uff1a\u7dda\u5f62\u4ee3\u6570\u30eb\u30fc\u30c1\u30f3\r\nio:\u30c7\u30fc\u30bf\u5165\u51fa\u529b\r\nmaxentropy\uff1a\u30a8\u30f3\u30c8\u30ed\u30d4\u30fc\u5206\u5e03\u51e6\u7406\r\nndimagemisc\uff1a\u753b\u50cf\u51e6\u7406\r\nsparsemisc\uff1a\u758e\u884c\u5217\u51e6\u7406\r\nstats\uff1a\u7d71\u8a08\u51e6\u7406\u3001\u96e2\u6563\u5206\u5e03\u3001\u9023\u7d9a\u5206\u5e03\r\nsignal\uff1a\u4fe1\u53f7\u51e6\u7406\u30c4\u30fc\u30eb\r\nstsci\uff1a\u753b\u50cf\u914d\u5217\u64cd\u4f5c\r\nweave\uff1aPython\u306bC\u8a00\u8a9e\u3084C++\u8a00\u8a9e\u3092\u7d44\u307f\u8fbc\u3080\u51e6\u7406<\/p>\r\n\r\n<h3 class=\"articletit-H3\"><span id=\"Matplotlib\">Matplotlib\uff08\u30de\u30c3\u30c8\u30d7\u30ed\u30c3\u30c8\u30ea\u30d6\uff09<\/span><\/h3>\r\n<h4 class=\"articletit-H4\">Matplotlib\u306e\u7279\u5fb4<\/h4>\r\n<p class=\"normal-Txt\">Matplotlib\u306f\u3001\u30c7\u30fc\u30bf\u3092\u30b0\u30e9\u30d5\u3084\u753b\u50cf\u30c7\u30fc\u30bf\u3068\u3057\u3066\u8868\u793a\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u30d6\u30e9\u30d5\u63cf\u753b\u306e\u305f\u3081\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3001\u300c\u30de\u30c3\u30c8\u30d7\u30ed\u30c3\u30c8\u30ea\u30d6\u300d\u3068\u8aad\u307f\u307e\u3059\u3002<\/p>\r\n<p class=\"normal-Txt\">\u6a5f\u68b0\u5b66\u7fd2\u3067\u306f\u3001\u7d71\u8a08\u91cf\u306e\u53ef\u8996\u5316\u3084\u5b66\u7fd2\u7d4c\u904e\u306e\u30b0\u30e9\u30d5\u5316\u3001\u753b\u50cf\u306e\u51fa\u529b\u7b49\u306e\u6a5f\u80fd\u304c\u591a\u304f\u5229\u7528\u3055\u308c\u3066\u3044\u307e\u3059\u3002\r\n\u30d2\u30b9\u30c8\u30b0\u30e9\u30e0\u3084\u6563\u5e03\u56f3\u3092\u63cf\u3044\u305f\u308a\u3001JavaScript\u3092\u5229\u7528\u3057\u3066\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6\u306a\u30b0\u30e9\u30d5\u3092\u751f\u6210\u3059\u308b\u3053\u3068\u3082\u53ef\u80fd\u3067\u3059\u3002<\/p>\r\n<p class=\"normal-Txt\">Pandas\u3067\u3082\u30c7\u30fc\u30bf\u306e\u53ef\u8996\u5316\u306f\u53ef\u80fd\u3067\u3059\u304c\u3001Matplotlib\u3092\u5229\u7528\u3059\u308b\u4e8b\u3067\u66f4\u306b\u8907\u96d1\u306a\u8868\u793a\u304c\u53ef\u80fd\u3067\u3059\u3002<\/p>\r\n\r\n<h4 class=\"articletit-H4\">Matplotlib\u306e\u4fbf\u5229\u306a\u70b9<\/h4>\r\n<p class=\"normal-Txt\">Matplotlib\u306f\u3001\u51fa\u7248\u7528\u306b\u3082\u4f7f\u3048\u308b\u307b\u3069\u9ad8\u54c1\u8cea\u306a\u30b0\u30e9\u30d5\u3092\u4f5c\u6210\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u305d\u306e\u305f\u3081\u753b\u50cf\u3092PDF\u3084JPEG\u3001GIF\u7b49\u3067\u3042\u3089\u3086\u308b\u5f62\u5f0f\u3067\u30a8\u30af\u30b9\u30dd\u30fc\u30c8\u3067\u304d\u307e\u3059\u3002\u3053\u3061\u3089\u3082\u300cAnaconda\u300d\u306b\u3082\u6a19\u6e96\u642d\u8f09\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\r\n\r\n<h4 class=\"articletit-H4\">Matplotlib\u306e\u5229\u7528\u30b7\u30fc\u30f3<\/h4>\r\n<p class=\"normal-Txt\">Matplotlib\u306f\u3001NumPy\u306a\u3069\u4ed6\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u524d\u51e6\u7406\u3057\u305f\u30c7\u30fc\u30bf\u3092\u53ef\u8996\u5316\u3059\u308b\u5834\u5408\u306b\u3088\u304f\u4f7f\u308f\u308c\u308b\u6700\u3082\u4e00\u822c\u7684\u306aPython\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3059\u3002\r\n\u30c7\u30fc\u30bf\u3092\u53ef\u8996\u5316\u3059\u308b\u4e8b\u3067\u3001\u7570\u5e38\u5024\u306e\u691c\u51fa\u3084\u5fc5\u8981\u30c7\u30fc\u30bf\u306e\u5909\u5f62\u3092\u767a\u898b\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u305f\u3081\u3001\u30c7\u30fc\u30bf\u5206\u6790\u306e\u73fe\u5834\u3067\u306f\u3088\u304f\u4f7f\u308f\u308c\u3066\u3044\u307e\u3059\u3002\r\n\u6a5f\u68b0\u5b66\u7fd2\u3067\u3082\u3001NumPy\u3084Pandas\u3068\u7d44\u307f\u5408\u308f\u305b\u3001\u5206\u6790\u5bfe\u8c61\u306e\u30c7\u30fc\u30bf\u306b\u3069\u3093\u306a\u50be\u5411\u304c\u3042\u308b\u306e\u304b\u30b0\u30e9\u30d5\u3067\u8868\u793a\u3057\u305f\u308a\u3001\u30b9\u30b3\u30a2\u306e\u5909\u5316\u3092\u63cf\u753b\u3059\u308b\u7b49\u3001\u30c7\u30fc\u30bf\u3092\u56f3\u8868\u3067\u8868\u793a\u3055\u305b\u308b\u969b\u306b\u6d3b\u7528\u3059\u308b\u305f\u3081\u3001\u899a\u3048\u3066\u304a\u3044\u3066\u640d\u306f\u306a\u3044\u3067\u3057\u3087\u3046\u3002<\/p>\r\n\r\n<h3 class=\"articletit-H3\"><span id=\"scikit-learn\">scikit-learn\uff08\u30b5\u30a4\u30ad\u30c3\u30c8\u30fb\u30e9\u30fc\u30f3\uff09<\/span><\/h3>\r\n<h4 class=\"articletit-H4\">scikit-learn\u306e\u7279\u5fb4<\/h4>\r\n<p class=\"normal-Txt\">scikit-learn\u306f\u3001\u6a5f\u68b0\u5b66\u7fd2\u5168\u822c\u306e\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u304c\u5b9f\u88c5\u3055\u308c\u305f\u6a5f\u68b0\u5b66\u7fd2\u306e\u57fa\u76e4\u3068\u306a\u3063\u3066\u3044\u308b\u5927\u4eba\u6c17\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u300c\u30b5\u30a4\u30ad\u30c3\u30c8\u30fb\u30e9\u30fc\u30f3\u300d\u3068\u8aad\u307f\u307e\u3059\u3002\r\n\u7d71\u8a08\u5b66\u3001\u30d1\u30bf\u30fc\u30f3\u8a8d\u8b58\u3001\u30c7\u30fc\u30bf\u89e3\u6790\u306e\u6280\u6cd5\u304c\u8c4a\u5bcc\u306b\u4f7f\u3046\u3053\u3068\u304c\u3067\u304d\u308b\u306e\u3067\u3001\u7279\u306b\u7814\u7a76\u8005\u306e\u9593\u3067\u4eba\u6c17\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\r\n<p class=\"normal-Txt\">\u4ed6\u306eNumPy\u3084SciPy\u3001matplotlib\u3068\u6bd4\u8f03\u3057\u3066\u3082scikit-learn\u306f\u3001\u69d8\u3005\u306a\u6a5f\u68b0\u5b66\u7fd2\u306e\u5b9f\u88c5\u3092\u7c21\u5358\u306b\u8a66\u3059\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\r\n\r\n<h4 class=\"articletit-H4\">scikit-learn\u306e\u4fbf\u5229\u306a\u70b9<\/h4>\r\n<p 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class=\"normal-Txt\">dlib\u306f\u3001\u9854\u8a8d\u8b58\u3068\u9854\u306e\u7279\u5fb4\u70b9\u3092\u691c\u51fa\u3059\u308b\u7cbe\u5ea6\u304c\u9ad8\u3044\u3068\u3044\u3046\u3053\u3068\u304c\u6319\u3052\u3089\u308c\u307e\u3059\u3002\r\n\u305d\u306e\u305f\u3081\u3001\u9854\u8a8d\u8b58\u304c\u5fc5\u8981\u306a\u5834\u5408\u306b\u306f\u5fc5\u9808\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u3068\u306a\u3063\u3066\u3044\u307e\u3059\u3002\r\n\u9854\u753b\u50cf\u3092\u691c\u51fa\u3057\u305f\u3042\u3068\u3001\u5225\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u9854\u753b\u50cf\u306e\u8b58\u5225\u5668\u3092\u4f5c\u3063\u3066\u3001\u6a5f\u68b0\u5b66\u7fd2\u3055\u305b\u308b\u3068\u3044\u3063\u305f\u3053\u3068\u3082\u53ef\u80fd\u3067\u3059\u3002<\/p>\r\n\r\n<h4 class=\"articletit-H4\">dlib\u306e\u5229\u7528\u30b7\u30fc\u30f3<\/h4>\r\n<p class=\"normal-Txt\">\u30ed\u30dc\u30c3\u30c8\u3001\u7d44\u307f\u8fbc\u307f\u6a5f\u5668\u3001\u643a\u5e2f\u96fb\u8a71\u3001\u5927\u898f\u6a21\u306a\u9ad8\u6027\u80fd\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u74b0\u5883\u306a\u3069\u3001\u5e45\u5e83\u3044\u5206\u91ce\u306e\u696d\u754c\u304a\u3088\u3073\u5b66\u8853\u754c\u3067\u4f7f\u7528\u3055\u308c\u3066\u3044\u307e\u3059\u3002\r\n\u307e\u305f\u3001\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3001SVR\u306a\u3069\u306e\u6a5f\u68b0\u5b66\u7fd2\u3001\u753b\u50cf\u51e6\u7406\u3001\u30d9\u30a4\u30b8\u30a2\u30f3\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306a\u3069\u8a08\u7b97\u3001\u6a5f\u68b0\u5b66\u7fd2\u7cfb\u306e\u30b5\u30dd\u30fc\u30c8\u3068\u3057\u3066\u3082\u6d3b\u7528\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\r\n<p class=\"normal-Txt\">\u6a5f\u68b0\u5b66\u7fd2\u3092\u4f53\u7cfb\u7684\u306b\u5b66\u3076\u65b9\u6cd5\u306f\u3044\u304f\u3064\u304b\u3042\u308a\u307e\u3059\u304c\u3001\u5f0a\u793e\u304c\u63d0\u4f9b\u3059\u308b\u300cAI\u30b8\u30e7\u30d6\u30ad\u30e3\u30f3\u30d7\u300d\u3067\u3042\u308c\u3070\u3001\u73fe\u5f79\u306e\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30c6\u30a3\u30b9\u30c8\u306b\u3088\u308b\u6a5f\u68b0\u5b66\u7fd2\u8b1b\u5ea7\u304c\u30aa\u30f3\u30e9\u30a4\u30f3\u306b\u3066\u7121\u6599\u53d7\u8b1b\u3067\u304d\u307e\u3059\u3002<\/p>\r\n\r\n<div class=\"bdn_Link02\"><a href=\"https:\/\/www.bigdata-navi.com\/ai-job-camp\/\" target=\"_blank\" rel=\"noopener noreferrer\">AI\u30b8\u30e7\u30d6\u30ad\u30e3\u30f3\u30d7\u306f\u3053\u3061\u3089<\/a><\/div>\r\n<h2 class=\"articletit-H2\"><span id=\"i-2\">\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u30fb\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af<\/span><\/h2>\r\n<figure class=\"img-Wide\"><img decoding=\"async\" src=\"https:\/\/www.bigdata-navi.com\/aidrops\/wp-content\/uploads\/2025\/07\/shutterstock_2116050695-.jpg\" alt=\"\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u30fb\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\" \/><\/figure>\r\n<p class=\"normal-Txt\">\u3053\u3053\u304b\u3089\u306f\u3001\u6df1\u5c64\u5b66\u7fd2\uff08Deep Learning\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\uff09\u3067\u4f7f\u3048\u308b\u30e9\u30a4\u30d6\u30e9\u30ea\u3084\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u306b\u3064\u3044\u3066\u3001\u5b66\u3093\u3067\u3044\u304d\u307e\u3057\u3087\u3046\u3002\u7279\u5fb4\u3001\u4fbf\u5229\u306a\u70b9\u3001\u5229\u7528\u30b7\u30fc\u30f3\u306a\u3069\u306e\u304a\u3059\u3059\u3081\u3092\u7d39\u4ecb\u3057\u307e\u3059\u3002<\/p>\r\n\r\n<h3 class=\"articletit-H3\"><span id=\"TensorFlow\">TensorFlow\uff08\u30c6\u30f3\u30bd\u30eb\u30d5\u30ed\u30fc\uff09<\/span><\/h3>\r\n<h4 class=\"articletit-H4\">TensorFlow\u306e\u7279\u5fb4<\/h4>\r\n<p class=\"normal-Txt\">TensorFlow\u306f\u3001Google\u304c\u300cGoogle\u3000Brain\u300d\u3068\u3044\u3046\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306e\u3082\u3068\u3067\u958b\u767a\u3092\u884c\u3063\u3066\u3044\u308b\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u6700\u65b0\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3001\u300c\u30c6\u30f3\u30bd\u30eb\u30d5\u30ed\u30fc\u300d\u307e\u305f\u306f\u300c\u30c6\u30f3\u30b5\u30fc\u30d5\u30ed\u30fc\u300d\u3068\u8aad\u307f\u307e\u3059\u3002\r\n\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30fc\u30ef\u30fc\u30af\u3068\u306f\u3001\u4eba\u9593\u306e\u8133\u3092\u518d\u73fe\u3057\u305f\u4ed5\u7d44\u307f\u3067\u3001\u73fe\u5728\u3082\u3063\u3068\u3082\u6ce8\u76ee\u3055\u308c\u3066\u3044\u308b\u5206\u91ce\u3067\u3059\u3002<\/p>\r\n<p class=\"normal-Txt\">\u30e9\u30a4\u30d6\u30e9\u30ea\u306e\u5185\u90e8\u306f\u304a\u3088\u305dC++\u3067\u4f5c\u3089\u308c\u3066\u3044\u3066\u3044\u307e\u3059\u304c\u3001Pyhon\u3082\u542b\u307e\u308c\u3066\u304a\u308a\u67d4\u8edf\u306b\u4f7f\u7528\u3067\u304d\u308b\u69cb\u9020\u306b\u306a\u3063\u3066\u3044\u307e\u3059\u3002<\/p>\r\n<p class=\"normal-Txt\">\u30cf\u30a4\u30ec\u30d9\u30eb\u306a\u6a5f\u80fd\u3092\u5b9f\u88c5\u53ef\u80fd\u3067\u3001\u8a08\u7b97\u3092\u30c7\u30fc\u30bf\u30d5\u30ed\u30fc\u3084\u30b0\u30e9\u30d5\u3067\u8868\u3059\u3053\u3068\u304c\u3067\u304d\u307e\u308b\u305f\u3081\u3001\u5b9f\u8df5\u3067\u3001\u8907\u96d1\u306a\u554f\u984c\u306b\u5bfe\u51e6\u3067\u304d\u308b\u975e\u5e38\u306b\u5f79\u7acb\u3064\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3059\u3002<\/p>\r\n\r\n<h4 class=\"articletit-H4\">TensorFlow\u306e\u4fbf\u5229\u306a\u70b9<\/h4>\r\n<p class=\"normal-Txt\">TensorFlow\u306e\u4fbf\u5229\u306a\u70b9\u3068\u3057\u3066\u306f\u3001\u7570\u306a\u308b\u30c7\u30d0\u30a4\u30b9\u3001\u30b7\u30b9\u30c6\u30e0\u4e0a\u3067\u3001\u307b\u3068\u3093\u3069\u5909\u66f4\u306a\u3057\u306b\u5b9f\u884c\u304c\u53ef\u80fd\u306a\u70b9\u3067\u3059\u3002<\/p>\r\n<p class=\"normal-Txt\">\u305d\u306e\u4ed6\u306b\u306f\u3001TensorFlow\u306f\u3001AI\u958b\u767a\u3092\u884c\u3046\u4e0a\u3067\u3001\u4fbf\u5229\u306a\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u3084\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u304c\u591a\u304f\u516c\u958b\u3055\u308c\u3066\u3044\u307e\u3059\u3002\r\nTensorFlow\u306b\u306f\u3001\u5229\u7528\u8005\u540c\u58eb\u3067\u554f\u984c\u3092\u89e3\u6c7a\u3057\u5408\u3046\u30b3\u30df\u30e5\u30cb\u30c6\u30a3\u3082\u5b58\u5728\u3057\u3001\u6d3b\u767a\u306b\u6d3b\u52d5\u3057\u3066\u3044\u308b\u305f\u3081\u3001\u5b9f\u88c5\u3067\u56f0\u3063\u305f\u3068\u304d\u306b\u3082\u30b3\u30fc\u30c9\u3092\u63d0\u51fa\u3057\u3066\u89e3\u6c7a\u6848\u3092\u6c42\u3081\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u305f\u3081\u3001\u884c\u304d\u8a70\u307e\u3063\u305f\u3068\u304d\u306b\u3082\u305d\u308c\u307b\u3069\u56f0\u308a\u307e\u305b\u3093\u3002<\/p>\r\n\r\n<h4 class=\"articletit-H4\">TnesorFlow\u306e\u5229\u7528\u30b7\u30fc\u30f3<\/h4>\r\n<p class=\"normal-Txt\">TensorFlow\u306fGoogle\u304c\u958b\u767a\u3057\u305f\u3068\u3044\u3046\u3053\u3068\u3082\u3042\u308a\u3001Google\u306e\u97f3\u58f0\u691c\u7d22\u3084\u8a00\u8a9e\u7ffb\u8a33\u3001\u753b\u50cf\u691c\u7d22\u306b\u4f7f\u7528\u3057\u3066\u3044\u307e\u3059\u3002\r\n\u307e\u305f\u691c\u7d22\u30a8\u30f3\u30b8\u30f3\u306e\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u4e00\u3064\u3067\u3042\u308b\u3001RankBrain\u306b\u3082\u4f7f\u7528\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\r\n<p class=\"normal-Txt\">\u305d\u306e\u4ed6\u306b\u306f\u3001\u76e3\u8996\u30ab\u30e1\u30e9\u3092\u4f7f\u3063\u305f\u9854\u8a8d\u8b58\u30b7\u30b9\u30c6\u30e0\u306b\u4f7f\u308f\u308c\u3066\u3044\u307e\u3059\u3002\u76e3\u8996\u30ab\u30e1\u30e9\u306b\u6620\u3063\u305f\u753b\u50cf\u304b\u3089\u9854\u3092\u8b58\u5225\u3057\u3001\u9854\u5199\u771f\u304c\u591a\u6570\u767b\u9332\u3055\u308c\u3066\u3044\u308b\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u53c2\u7167\u3059\u308b\u3053\u3068\u3067\u3001\u76e3\u8996\u30ab\u30e1\u30e9\u306b\u6620\u3063\u305f\u4eba\u7269\u3092\u8b58\u5225\u3067\u304d\u307e\u3059\u3002\r\n\u3053\u308c\u306b\u3088\u308a\u3001\u7279\u5b9a\u306e\u4eba\u7269\u3092\u4e16\u754c\u4e2d\u306e\u76e3\u8996\u30ab\u30e1\u30e9\u304b\u3089\u63a2\u3057\u51fa\u3059\u3053\u3068\u304c\u3067\u304d\u308b\u305f\u3081\u3001\u9632\u72af\u3084\u635c\u67fb\u306b\u6d3b\u7528\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\r\n<p class=\"normal-Txt\">\u81ea\u52d5\u904b\u8ee2\u5206\u91ce\u3067\u3082\u4f7f\u7528\u3055\u308c\u3066\u304a\u308a\u3001\u4eca\u5f8c\u307e\u3059\u307e\u3059\u6d3b\u8e8d\u306e\u5e45\u3092\u5e83\u3052\u3066\u3044\u304d\u305d\u3046\u3067\u3059\u306d\u3002<\/p>\r\n\r\n<h3 class=\"articletit-H3\"><span id=\"Keras\">Keras\uff08\u30b1\u30e9\u30b9\uff09<\/span><\/h3>\r\n<h4 class=\"articletit-H4\">Keras\u306e\u7279\u5fb4<\/h4>\r\n<p class=\"normal-Txt\">Keras\u3068\u306f\u3001Python\u3067\u66f8\u304b\u308c\u305f\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3001\u300c\u30b1\u30e9\u30b9\u300d\u3068\u8aad\u307f\u307e\u3059\u3002<\/p>\r\n<p class=\"normal-Txt\">Keras\u306f\u3001TensorFlow\u3084Theano\u3068\u3044\u3063\u305f\u4ed6\u306e\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u4e0a\u90e8\u3067\u52d5\u304f\u3088\u3046\u306a\u4f5c\u308a\u306b\u306a\u3063\u3066\u304a\u308a\u3001\u3088\u308a\u7c21\u5358\u306b\u6df1\u5c64\u5b66\u7fd2\u306e\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u4f5c\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u3088\u3046\u8a2d\u8a08\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\r\n<p class=\"normal-Txt\">\u4eba\u9593\u306b\u3068\u3063\u3066\u5206\u304b\u308a\u3084\u3059\u3044\u8a2d\u8a08\u306e\u305f\u3081\u3001\u521d\u5fc3\u8005\u3067\u3082\u7c21\u5358\u306b\u8fc5\u901f\u306a\u30d7\u30ed\u30c8\u30bf\u30a4\u30d4\u30f3\u30b0\u304c\u53ef\u80fd\u3068\u306a\u3063\u3066\u3044\u307e\u3059\u3002\r\nKeras\u3092\u4f7f\u3048\u3070\u3001\u8ab0\u3067\u3082\u3059\u3050\u306b\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u304c\u3067\u304d\u308b\u3068\u3044\u3048\u308b\u307b\u3069\u7c21\u5358\u306a\u306e\u3067\u521d\u5fc3\u8005\u306b\u3084\u3055\u3057\u3044\u30e9\u30a4\u30d6\u30e9\u30ea\u3068\u3044\u3048\u307e\u3059\u3002<\/p>\r\n\r\n<h4 class=\"articletit-H4\">Keras\u306e\u4fbf\u5229\u306a\u70b9<\/h4>\r\n<p class=\"normal-Txt\">Keras\u3092\u5229\u7528\u3059\u308b\u3068\u6df1\u5c64\u5b66\u7fd2\u306e\u80cc\u5f8c\u306b\u3042\u308b\u6570\u5b66\u7684\u306a\u90e8\u5206\u3092\u65b0\u898f\u306b\u30bc\u30ed\u304b\u3089\u958b\u767a\u3057\u3001\u5b9f\u88c5\u3057\u306a\u304f\u3066\u3082\u3001\u5404\u5c64\u3067\u5229\u7528\u3059\u308b\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3068\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u6307\u5b9a\u3059\u308b\u3068\u3044\u3046\u6bd4\u8f03\u7684\u77ed\u3044\u30b3\u30fc\u30c9\u3067\u76ee\u7684\u306e\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u8868\u73fe\u3059\u308b\u4e8b\u304c\u53ef\u80fd\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\r\n<p class=\"normal-Txt\">\u305d\u306e\u305f\u3081\u3001\u7814\u7a76\u9818\u57df\u306b\u304a\u3044\u3066\u975e\u5e38\u306b\u6d41\u308c\u304c\u65e9\u304f\u3001\u4f01\u696d\u7b49\u3067\u3082\u7d20\u65e9\u304f\u6700\u65b0\u306e\u5b9f\u88c5\u304c\u6c42\u3081\u3089\u308c\u308b\u6df1\u5c64\u5b66\u7fd2\u306e\u5206\u91ce\u306b\u304a\u3044\u3066\u3001Keras\u3092\u4f7f\u3046\u3053\u3068\u3067\u6700\u65b0\u624b\u6cd5\u3092\u7d20\u65e9\u304f\u8a66\u3059\u4e8b\u304c\u3067\u304d\u308b\u3068\u3044\u3046\u5229\u70b9\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\r\n<p class=\"normal-Txt\">\u307e\u305f\u3001Keras\u306f\u3001\u65e5\u672c\u8a9e\u5316\u3055\u308c\u305f\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u304c\u3042\u308b\u305f\u3081\u3001\u65e5\u672c\u4eba\u306b\u3068\u3063\u3066\u306f\u3042\u308a\u304c\u305f\u3044\u30dd\u30a4\u30f3\u30c8\u3067\u3059\u3002<\/p>\r\n\r\n<h4 class=\"articletit-H4\">Keras\u306e\u5229\u7528\u30b7\u30fc\u30f3<\/h4>\r\n<p class=\"normal-Txt\">Keras\u306f\u3001\u3069\u3093\u306a\u3068\u304d\u306b\u5229\u7528\u3059\u308c\u3070\u3044\u3044\u306e\u3067\u3057\u3087\u3046\u304b\u3002<\/p>\r\n<p class=\"normal-Txt\">\u516c\u5f0f\u30b5\u30a4\u30c8\u3067\u306f\u3001\u4e0b\u8a18\u306e\u3088\u3046\u306b\u5b9a\u7fa9\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\r\n<p class=\"normal-Txt\">\u6b21\u306e\u3088\u3046\u306a\u5834\u5408\u3067\u6df1\u5c64\u5b66\u7fd2\u30e9\u30a4\u30d6\u30e9\u30ea\u304c\u5fc5\u8981\u306a\u3089\uff0cKeras\u3092\u4f7f\u7528\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\r\n\r\n<ol class=\"num-List\">\r\n \t<li>\u5bb9\u6613\u306b\u7d20\u65e9\u304f\u30d7\u30ed\u30c8\u30bf\u30a4\u30d7\u306e\u4f5c\u6210\u304c\u53ef\u80fd\uff08\u30e6\u30fc\u30b6\u30fc\u30d5\u30ec\u30f3\u30c9\u30ea\u30fc,\u30e2\u30b8\u30e5\u30fc\u30eb\u6027,\u304a\u3088\u3073\u62e1\u5f35\u6027\u306b\u3088\u308b\uff09<\/li>\r\n \t<li>CNN\u3068RNN\u306e\u4e21\u65b9\uff0c\u304a\u3088\u3073\u3053\u308c\u3089\u306e2\u3064\u306e\u7d44\u307f\u5408\u308f\u305b\u3092\u30b5\u30dd\u30fc\u30c8<\/li>\r\n \t<li>CPU\u3068GPU\u4e0a\u3067\u30b7\u30fc\u30e0\u30ec\u30b9\u306a\u52d5\u4f5c<\/li>\r\n<\/ol>\r\n<p class=\"normal-Txt\">Keras\u3092\u5229\u7528\u3059\u308b\u3053\u3068\u3067\u3001\u7c21\u5358\u306b\u30cb\u30e5\u30fc\u30c8\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u304c\u69cb\u7bc9\u3067\u304d\u308b\u305f\u3081\u3001\u4f55\u304b\u3092\u8a66\u3059\u3068\u304d\u306b\u306f\u3001\u6700\u9069\u3068\u3044\u3046\u3053\u3068\u3067\u3057\u3087\u3046\u3002\r\n\u6700\u65b0\u306e\u624b\u6cd5\u3092\u5b9f\u9a13\u7684\u306b\u8a66\u3059\u3068\u304d\u306b\u306f\u3001\u7a4d\u6975\u7684\u306b\u5229\u7528\u3057\u305f\u3044\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3059\u306d\u3002<\/p>\r\n\r\n<h3 class=\"articletit-H3\"><span id=\"Chainer\">Chainer (\u30c1\u30a7\u30a4\u30ca\u30fc)<\/span><\/h3>\r\n<h4 class=\"articletit-H4\">Chainer\u306e\u7279\u5fb4<\/h4>\r\n<p class=\"normal-Txt\">Chainer\u306f\u3001\u65e5\u672c\u306e\u30d9\u30f3\u30c1\u30e3\u30fc\u4f01\u696d\u300cPreferred Networks\uff08PFN\u3000\u30d7\u30ea\u30d5\u30a1\u30fc\u30c9\u30fb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u30b9\uff09\u300d\u304c\u958b\u767a\u3057\u305f\u3001\u65e5\u672c\u4eba\u30a8\u30f3\u30b8\u30cb\u30a2\u306b\u5927\u4eba\u6c17\u306e\u30cb\u30e5\u30fc\u30c8\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u5b9f\u88c5\u3059\u308b\u305f\u3081\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3059\u3002\u300c\u30c1\u30a7\u30a4\u30ca\u30fc\u300d\u3068\u8aad\u307f\u307e\u3059\u3002<\/p>\r\n<p class=\"normal-Txt\">\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u306b\u5fc5\u8981\u306a\u8907\u96d1\u306a\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u69cb\u7bc9\u3092Python\u3067\u7c21\u5358\u306b\u66f8\u3051\u308b\u305f\u3081\u3001\u4e3b\u306b\u6df1\u5c64\u5b66\u7fd2\u306e\u5206\u91ce\u3067\u7528\u3044\u3089\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\r\n<p class=\"normal-Txt\">Tensorflow\u3068\u7570\u306a\u308a\u52d5\u7684\u306b\u8a08\u7b97\u30b0\u30e9\u30d5\u3092\u69cb\u7bc9\u3057\u3066\u3044\u308b\u306e\u3067\u3001\u5b66\u7fd2\u9014\u4e2d\u3067\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u5f62\u304c\u5909\u308f\u308b\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3067\u3082\u7c21\u5358\u306b\u8a18\u8ff0\u3067\u304d\u308b\u70b9\u304c\u5f37\u529b\u306a\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3059\u3002<\/p>\r\n\r\n<h4 class=\"articletit-H4\">Chainer\u306e\u4fbf\u5229\u306a\u70b9<\/h4>\r\n<p class=\"normal-Txt\">Chainer\u306f\u3001\u8a18\u6cd5\u304c\u76f4\u611f\u7684\u304b\u3064\u30b7\u30f3\u30d7\u30eb\u306a\u306e\u3067\u3001\u5358\u7d14\u306a\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u304b\u3089\u3001\u8907\u96d1\u306a\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u307e\u3067\u5e45\u5e83\u304f\u5bfe\u5fdc\u3067\u304d\u308b\u70b9\u304c\u4fbf\u5229\u306a\u30dd\u30a4\u30f3\u30c8\u3067\u3059\u3002\r\n\u307e\u305fChainer\u306f\u3001\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u304c\u7c21\u5358\u3068\u3044\u3046\u5229\u70b9\u3082\u3042\u308a\u307e\u3059\u3002\r\n\u305d\u306e\u4ed6\u306b\u3082\u3001\u56fd\u7523\u306e\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u306e\u305f\u3081\u3001\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\u304a\u308a\u3001\u5b66\u7fd2\u3057\u3084\u3059\u3055\u306f\u629c\u7fa4\u3067\u3059\u3002<\/p>\r\n\r\n<h4 class=\"articletit-H4\">Chainer\u306e\u5229\u7528\u30b7\u30fc\u30f3<\/h4>\r\n<p class=\"normal-Txt\">Chainer\u306f\u3042\u304f\u307e\u3067\u6df1\u5c64\u5b66\u7fd2\u306e\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u5b9f\u88c5\u3059\u308b\u969b\u306b\u4f7f\u7528\u3067\u304d\u308b\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3067\u3059\u3002\r\n\u305d\u306e\u305f\u3081\u3001\u6df1\u5c64\u5b66\u7fd2\u306b\u95a2\u9023\u3059\u308b\u753b\u50cf\u5206\u985e\u3084\u3001\u7269\u4f53\u691c\u51fa\u306a\u3069\u3067\u5229\u7528\u3055\u308c\u3066\u3044\u307e\u3059\u3002\r\nChainer\u958b\u767a\u5143\u306ePFN\u304cPaintsChainer\u3068\u3044\u3046\u7dda\u753b\u81ea\u52d5\u7740\u8272\u30b5\u30fc\u30d3\u30b9\u3092\u63d0\u4f9b\u3057\u3066\u3044\u307e\u3059\u304c\u3001\u3053\u3061\u3089\u3067\u3082Chainer\u304c\u4f7f\u7528\u3055\u308c\u3066\u3044\u307e\u3059\u3002\r\n\u3053\u308c\u306f\u3001\u767d\u9ed2\u7b49\u3067\u63cf\u304b\u308c\u305f\u7dda\u753b\u30d5\u30a1\u30a4\u30eb\u3092\u30a2\u30c3\u30d7\u30ed\u30fc\u30c9\u3059\u308b\u3068\u3001\u81ea\u52d5\u7684\u306b\u7740\u8272\u3055\u308c\u305f\u753b\u50cf\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3067\u304d\u308b\u3068\u3044\u3046\u30b5\u30fc\u30d3\u30b9\u3067\u3059\u3002<\/p>\r\n\r\n<h3 class=\"articletit-H3\"><span id=\"Pytorch\">Pytorch\uff08\u30d1\u30a4\u30c8\u30fc\u30c1\uff09<\/span><\/h3>\r\n<h4 class=\"articletit-H4\">Pytorch\u306e\u7279\u5fb4<\/h4>\r\n<p class=\"normal-Txt\">Pytorch\u306f\u3001\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\u3067\u5229\u7528\u3055\u308c\u308b\u6a5f\u68b0\u5b66\u7fd2\u30e9\u30a4\u30d6\u30e9\u30eaTorch\u3092\u5143\u306b\u4f5c\u3089\u308c\u305f\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3067\u3059\u3002\u300c\u30d1\u30a4\u30c8\u30fc\u30c1\u300d\u3068\u8aad\u307f\u307e\u3059\u3002Facebook\u306e\u4eba\u5de5\u77e5\u80fd\u7814\u7a76\u30b0\u30eb\u30fc\u30d7\u304c\u521d\u671f\u306b\u958b\u767a\u3092\u884c\u3044\u307e\u3057\u305f\u3002\r\nChainer\u3084Numpy\u3068\u4f3c\u305f\u3088\u3046\u306a\u69cb\u6587\u3067\u64cd\u4f5c\u3067\u304d\u308b\u305f\u3081\u3001\u4f7f\u3044\u3084\u3059\u3044\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3059\u3002\u8a08\u7b97\u901f\u5ea6\u3082\u65e9\u304f\u3001\u30bd\u30fc\u30b9\u30b3\u30fc\u30c9\u304c\u898b\u3084\u3059\u304f\u6271\u3044\u3084\u3059\u3044\u3068\u8fd1\u5e74\u4eba\u6c17\u304c\u6025\u4e0a\u6607\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\r\n<p class=\"normal-Txt\">PyTorch\u306f2016\u5e74\u5f8c\u534a\u306b\u767a\u8868\u3055\u308c\u305f\u6bd4\u8f03\u7684\u65b0\u3057\u3044\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3001\u4ed6\u306e\u6a5f\u68b0\u5b66\u7fd2\u30e9\u30a4\u30d6\u30e9\u30ea\u3068\u6bd4\u8f03\u3057\u3066\u3082\u5f8c\u767a\u7d44\u3067\u3059\u3002\r\n\u305d\u308c\u306b\u3082\u95a2\u308f\u3089\u305a\u521d\u671f\u30ea\u30ea\u30fc\u30b9\u3055\u308c\u305f2016\u5e74\u304b\u3089\u4eba\u6c17\u3092\u7740\u5b9f\u306b\u4f38\u3070\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\r\n\r\n<h4 class=\"articletit-H4\">Pytorch\u306e\u4fbf\u5229\u306a\u70b9<\/h4>\r\n<p class=\"normal-Txt\">Pytorch\u304c\u4fbf\u5229\u306a\u70b9\u306f\u3001Chainer\u3068\u6bd4\u8f03\u3057\u305f\u3068\u304d\u306b\u3001\u5b9f\u88c5\u3055\u308c\u3066\u3044\u306a\u3044\u6a5f\u80fd\u3092\u8ffd\u52a0\u3059\u308b\u5834\u5408\u306b\u3001Chainer\u3067\u306f\u3001\u5fae\u5206\u306e\u30b3\u30fc\u30c9\u3092\u81ea\u5206\u3067\u66f8\u304f\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u304c\u3001Pytorch\u306f\u305d\u306e\u4f5c\u696d\u304c\u4e0d\u8981\u3067\u3059\u3002<\/p>\r\n<p class=\"normal-Txt\">\u307e\u305f\u64cd\u4f5c\u7684\u306a\u9762\u304b\u3089\u3044\u3046\u3068\u3001\u5148\u7a0b\u3054\u7d39\u4ecb\u3057\u305f\u6a5f\u68b0\u5b66\u7fd2\u30e9\u30a4\u30d6\u30e9\u30eaNumpy\u3068PyTorch\u306e\u57fa\u672c\u7684\u306a\u64cd\u4f5c\u65b9\u6cd5\u306f\u3088\u304f\u4f3c\u3066\u3044\u308b\u305f\u3081\u3001Numpy\u306e\u4f7f\u3044\u65b9\u3092\u77e5\u3063\u3066\u3044\u308b\u3068PyTorch\u3082\u3059\u3050\u306b\u4f7f\u3048\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\r\n<p class=\"normal-Txt\">PyTorch\u306e\u7279\u5fb4\u3068\u3057\u3066\u3001\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u69cb\u7bc9\u3059\u308b\u305f\u3081\u306b\u3001\u8a08\u7b97\u306b\u5fc5\u8981\u3068\u306a\u308b\u8a08\u7b97\u30b0\u30e9\u30d5\u3092\u52d5\u7684\u306b\u69cb\u7bc9\u3059\u308b\u3068\u3044\u3046\u70b9\u304c\u6319\u3052\u3089\u308c\u307e\u3059\u3002<\/p>\r\n<p class=\"normal-Txt\">\u8a08\u7b97\u30b0\u30e9\u30d5\u3068\u306f\u3001\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u69cb\u7bc9\u3059\u308b\u8a08\u7b97\u306e\u904e\u7a0b\u3092\u30b0\u30e9\u30d5\u5316\u3057\u305f\u3082\u306e\u3067\u3059\u3002\r\nPyTorch\u3067\u306f\u3001\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u8a08\u7b97\u306b\u5fc5\u8981\u306a\u8a08\u7b97\u30b0\u30e9\u30d5\u3092\u5b9f\u884c\u3059\u308b\u305f\u3073\u306b\u69cb\u7bc9\u3057\u3001\u5b9f\u884c\u3059\u308b\u305f\u3081\u3001\u52d5\u7684\u3068\u3044\u3044\u307e\u3059\u3002\r\n\u52d5\u7684\u306a\u8a08\u7b97\u30b0\u30e9\u30d5\u306e\u30e1\u30ea\u30c3\u30c8\u306f\u3001\u67d4\u8edf\u306b\u30e2\u30c7\u30eb\u69cb\u7bc9\u3092\u884c\u3048\u308b\u305f\u3081\u3001\u6bd4\u8f03\u7684\u5bb9\u6613\u306b\u8907\u96d1\u306a\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u5b9f\u88c5\u3067\u304d\u308b\u3053\u3068\u3067\u3059\u3002\r\n\u30c7\u30e1\u30ea\u30c3\u30c8\u3068\u3057\u3066\u306f\u3001\u90fd\u5ea6\u8a08\u7b97\u30b0\u30e9\u30d5\u3092\u69cb\u7bc9\u3057\u3066\u5b9f\u884c\u3059\u308b\u305f\u3081\u3001\u5b66\u7fd2\u901f\u5ea6\u304c\u304a\u3061\u307e\u3059\u3002<\/p>\r\n<p class=\"normal-Txt\">\u3088\u304f\u6bd4\u8f03\u3055\u308c\u308bTensorFlow\u306f\u3001\u3053\u306e\u8a08\u7b97\u30b0\u30e9\u30d5\u3092\u6700\u521d\u306b\u69cb\u7bc9\u3057\u3066\u304b\u3089\u8a08\u7b97\u51e6\u7406\u3092\u5b9f\u884c\u3059\u308b\u305f\u3081\u9759\u7684\u3068\u547c\u3070\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\r\n<p class=\"normal-Txt\">Chainer\u3082\u540c\u3058\u3088\u3046\u306b\u52d5\u7684\u306b\u8a08\u7b97\u30b0\u30e9\u30d5\u3092\u69cb\u7bc9\u3059\u308b\u305f\u3081\u3001PyTorch\u3068Chainer\u306f\u8a2d\u8a08\u90e8\u5206\u3067\u5171\u901a\u7b87\u6240\u304c\u591a\u3044\u30e9\u30a4\u30d6\u30e9\u30ea\u3068\u3044\u3048\u307e\u3059\u3002<\/p>\r\n\r\n<h4 class=\"articletit-H4\">Pytorch\u306e\u5229\u7528\u30b7\u30fc\u30f3<\/h4>\r\n<p class=\"normal-Txt\">\u6700\u8fd1\u306e\u6700\u65b0\u8ad6\u6587\u306e\u5185\u5bb9\u3092PyTorch\u3067\u5b9f\u88c5\u3057\u3066\u767a\u8868\u3059\u308b\u7814\u7a76\u8005\u304c\u591a\u304f\u3001PyTorch\u306b\u306f\u4ee3\u8868\u7684\u306a\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u624b\u6cd5\u306e\u5b9f\u88c5\u4f8b\u304c\u307b\u3068\u3093\u3069\u3059\u3050\u306b\u624b\u306b\u5165\u308b\u3068\u3044\u3046\u5229\u70b9\u304c\u3042\u308a\u307e\u3059\u3002\r\n\u3053\u306e\u8ad6\u6587\u3092\u751f\u304b\u3057\u3066\u3001\u6700\u65b0\u306e\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u624b\u6cd5\u3092\u8a66\u3059\u3068\u304d\u306b\u304a\u3059\u3059\u3081\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3059\u3002<\/p>\r\n\r\n<h3 class=\"articletit-H3\"><span id=\"MXNet\">MXNet\uff08\u30a8\u30e0\u30a8\u30c3\u30af\u30b9\u30cd\u30c3\u30c8\uff09<\/span><\/h3>\r\n<h4 class=\"articletit-H4\">MXNet\u306e\u7279\u5fb4<\/h4>\r\n<p class=\"normal-Txt\">MXNet\u306f\u3001\u30ef\u30b7\u30f3\u30c8\u30f3\u5927\u5b66\u3068\u30ab\u30fc\u30cd\u30ae\u30fc\u30e1\u30ed\u30f3\u5927\u5b66\u3067\u958b\u767a\u3055\u308c\u305f\u6df1\u5c64\u5b66\u7fd2\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3067\u3059\u30022016\u5e74\u306bAWS\u304c\u30b5\u30dd\u30fc\u30c8\u3092\u516c\u8868\u3057\u307e\u3057\u305f\u3002\u8aad\u307f\u65b9\u306f\u300c\u30a8\u30e0\u30a8\u30c3\u30af\u30b9\u30cd\u30c3\u30c8\u300d\u3067\u3059\u3002\u8907\u6570\u8a00\u8a9e\u306b\u5bfe\u5fdc\u3057\u3066\u304a\u308a\u3001Python\u306e\u307b\u304b\u3001C++\u3001R\u3001Scala\u3001Julia\u306a\u3069\u3067\u5229\u7528\u3067\u304d\u307e\u3059\u3002<\/p>\r\n<p class=\"normal-Txt\">MXNet\u306e\u7279\u5fb4\u306f\u3001\u30b9\u30b1\u30fc\u30e9\u30d6\u30eb\u306a\u3053\u3068\u3067\u3059\u3002GPU\u306a\u3069\u306e\u60c5\u5831\u8cc7\u6e90\u3092\u8ffd\u52a0\u3059\u308c\u3070\u3059\u308b\u307b\u3069\u51e6\u7406\u80fd\u529b\u304c\u5411\u4e0a\u3059\u308b\u305f\u3081\u3001\u3088\u308a\u77ed\u3044\u6642\u9593\u3067\u5b66\u7fd2\u3092\u5b8c\u4e86\u3067\u304d\u307e\u3059\u3002<\/p>\r\n<p class=\"normal-Txt\">\u307e\u305f\u3001\u30e1\u30e2\u30ea\u6d88\u8cbb\u3082\u6700\u9069\u5316\u3055\u308c\u3066\u3044\u308b\u305f\u3081\u3001\u8efd\u91cf\u3067\u3001Android\u3084iOS\u3092\u642d\u8f09\u3057\u305f\u30e2\u30d0\u30a4\u30eb\u30c7\u30d0\u30a4\u30b9\u3067\u3082\u554f\u984c\u306a\u304f\u52d5\u304d\u307e\u3059\u3002<\/p>\r\n\r\n<h4 class=\"articletit-H4\">MXNet\u306e\u4fbf\u5229\u306a\u70b9<\/h4>\r\n<p class=\"normal-Txt\">MXNet\u304c\u67d4\u8edf\u306a\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3068\u8a00\u308f\u308c\u308b\u6240\u4ee5\u3068\u3057\u3066\u3001\u547d\u4ee4\u7684\u30d7\u30e9\u30b0\u30e9\u30e0\u3068\u5ba3\u8a00\u7684\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u4f75\u7528\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u3068\u3044\u3046\u70b9\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\r\n<p class=\"normal-Txt\">\u3053\u308c\u306f\u6df1\u5c64\u5b66\u7fd2\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u306e\u4e2d\u3067\u3001 MXNet \u3060\u3051\u304c\u6301\u3063\u3066\u3044\u308b\u7279\u5fb4\u3067\u3042\u308a\u3001\u547d\u4ee4\u7684\u30d7\u30ed\u30b0\u30e9\u30e0\u3068\u5ba3\u8a00\u7684\u30d7\u30ed\u30b0\u30e9\u30e0\u304c\u6df7\u5728\u3057\u3066\u3044\u305f\u3068\u3057\u3066\u3082\u81ea\u52d5\u7684\u306b\u4e26\u5217\u51e6\u7406\u3067\u304d\u308b\u3053\u3068\u304b\u3089\u67d4\u8edf\u306a\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3068\u8a00\u308f\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\r\n\r\n<h4 class=\"articletit-H4\">MXNet\u306e\u5229\u7528\u30b7\u30fc\u30f3<\/h4>\r\n<p class=\"normal-Txt\">MXNet\u306f\u3001CNN\u3001LSTM\u3001RCNN\u3001Deep Q Network\u306a\u3069\u69d8\u3005\u306a\u6df1\u5c64\u5b66\u7fd2\u30e2\u30c7\u30eb\u3092\u30b5\u30dd\u30fc\u30c8\u3057\u3066\u304a\u308a\u3001\u753b\u50cf\u8a8d\u8b58\u3001\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\u3001\u30ec\u30b3\u30e1\u30f3\u30c7\u30fc\u30b7\u30e7\u30f3\u306a\u3069\u69d8\u3005\u306a\u5834\u9762\u3067\u4f7f\u308f\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\r\n\r\n<h3 class=\"articletit-H3\"><span id=\"Deeplearning4jDL4j\">Deeplearning4j\uff08DL4j\uff09<\/span><\/h3>\r\n<h4 class=\"articletit-H4\">Deeplearning4j\u306e\u7279\u5fb4<\/h4>\r\n<p class=\"normal-Txt\">Deeplearning4j\u306f\u3001Deep Learning kfor Java \u306e\u7565\u79f0\u3067\u3001Java\u3092\u30d9\u30fc\u30b9\u3068\u3057\u3066\u958b\u767a\u3055\u308c\u305f\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3059\u3002Skymind\u3068\u3044\u3046\u30b5\u30f3\u30d5\u30e9\u30f3\u30b7\u30b9\u30b3\u306e\u30b9\u30bf\u30fc\u30c8\u30a2\u30c3\u30d7\u304c\u958b\u767a\u3057\u3066\u304a\u308a\u3001\u79d1\u5b66\u8a08\u7b97\u306b\u304a\u3044\u3066\u306f\u3001\u8a08\u7b97\u901f\u5ea6\u5411\u4e0a\u306e\u70ba\u3001N-Dimensional Arrays for Java \uff08ND4J\uff09\u3092\u5229\u7528\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\r\n\r\n<h4 class=\"articletit-H4\">Deeplearning4j\u306e\u4fbf\u5229\u306a\u70b9<\/h4>\r\n<p class=\"normal-Txt\">Deeplearning4j\u306f\u3001Java\u3067\u958b\u767a\u3055\u308c\u3066\u3044\u308b\u305f\u3081\u3001JVM\u4e0a\u3067\u52d5\u304f\u3068\u3044\u3046\u7279\u5fb4\u304c\u3042\u308a\u3001\u65e2\u5b58\u306e\u60c5\u5831\u30b7\u30b9\u30c6\u30e0\u3068\u7d44\u307f\u5408\u308f\u305b\u904b\u7528\u3067\u304d\u307e\u3059\u3002\u305d\u306e\u305f\u3081\u3001\u5546\u7528\u306b\u4f7f\u308f\u308c\u3084\u3059\u304f\u3001\u30b5\u30dd\u30fc\u30c8\u304c\u63d0\u4f9b\u3055\u308c\u3066\u3044\u308b\u3068\u3044\u3046\u3053\u3068\u304c\u5229\u70b9\u3068\u3057\u3066\u3042\u3052\u3089\u308c\u307e\u3059\u3002\u7279\u306b\u91d1\u878d\u5206\u91ce\u306e\u4e0d\u6b63\u691c\u77e5\u3067\u5229\u7528\u3055\u308c\u3066\u3044\u308b\u5834\u5408\u306b\u3001\u30b5\u30dd\u30fc\u30c8\u3092\u4f9d\u983c\u3067\u304d\u308b\u5834\u6240\u304c\u3042\u308b\u3068\u3044\u3046\u306e\u306f\u975e\u5e38\u306b\u5b89\u5fc3\u3067\u304d\u308b\u3068\u8a00\u3048\u307e\u3059\u3002<\/p>\r\n\r\n<h4 class=\"articletit-H4\">Deeplearning4j\u306e\u5229\u7528\u30b7\u30fc\u30f3<\/h4>\r\n<p class=\"normal-Txt\">Deeplearning4j \u306f\u3001Java\u3067\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u3092\u884c\u3046\u969b\u306b\u5229\u7528\u3055\u308c\u3066\u304a\u308a\u3001\u4f8b\u3048\u3070\u3001\u91d1\u878d\u5206\u91ce\u306e\u4e0d\u6b63\u691c\u77e5\u3084\u7570\u5e38\u691c\u77e5\u3001\u96fb\u5b50\u5546\u53d6\u5f15\u3084\u5e83\u544a\u306e\u30ec\u30b3\u30e1\u30f3\u30c9\u30b7\u30b9\u30c6\u30e0\u3001 \u88fd\u9020\u696d\u306e\u4e0d\u826f\u54c1\u691c\u77e5\u3084\u753b\u50cf\u8a8d\u8b58\u306a\u3069\u3067\u4f7f\u7528\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\r\n\r\n<h3 class=\"articletit-H3\"><span id=\"Microsoft_Cognitive_Toolkit\">Microsoft Cognitive Toolkit\uff08\u30de\u30a4\u30af\u30ed\u30bd\u30d5\u30c8\u30b3\u30b0\u30cb\u30c6\u30a3\u30d6\u30c4\u30fc\u30eb\u30ad\u30c3\u30c8\uff09<\/span><\/h3>\r\n<h4 class=\"articletit-H4\">Microsoft Cognitive Toolkit\u306e\u7279\u5fb4<\/h4>\r\n<p class=\"normal-Txt\">Microsoft Cognitive Toolkit\u306f\u3001AI\u6280\u8853\u3092\u5229\u7528\u3057\u305f\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u30c4\u30fc\u30eb\u30ad\u30c3\u30c8\u3067\u300c\u30de\u30a4\u30af\u30ed\u30bd\u30d5\u30c8\u30b3\u30b0\u30cb\u30c6\u30a3\u30d6\u30c4\u30fc\u30eb\u30ad\u30c3\u30c8\u300d\u3068\u8aad\u307f\u307e\u3059\u30022016\u5e7410\u6708\u306b\u3001\u5927\u5e45\u306a\u30d0\u30fc\u30b8\u30e7\u30f3\u30a2\u30c3\u30d7\u3092\u7d4c\u3066\u3001\u65e7\u79f0\u300cCNTK\uff08Microsoft Computational Network Toolkit\uff09\u300d\u304b\u3089\u300cMicrosoft Cognitive Toolkit\u300d\u3078\u6539\u540d\u3055\u308c\u307e\u3057\u305f\u3002<\/p>\r\n<p class=\"normal-Txt\">Microsoft Cognitive Toolkit\u306f\u3001\u97f3\u58f0\u8a8d\u8b58\u3084\u753b\u50cf\u8a8d\u8b58\u306e\u9818\u57df\u306b\u304a\u3044\u3066\u3001\u9ad8\u3044\u51e6\u7406\u901f\u5ea6\u3092\u767a\u63ee\u3057\u307e\u3059\u3002\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u304c\u4eba\u9593\u306e\u8a71\u3059\u8a00\u8449\u3092\u7406\u89e3\u3059\u308b\u901f\u5ea6\u3092\u52a0\u901f\u3055\u305b\u308b\u76ee\u7684\u3067\u3001Microsoft\u306e\u30dc\u30e9\u30f3\u30c6\u30a3\u30a2\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u3068\u3057\u3066\u958b\u767a\u304c\u59cb\u307e\u308a\u307e\u3057\u305f\u30022016\u5e74\u4ee5\u964d\u306e\u65b0\u30d0\u30fc\u30b8\u30e7\u30f3\u3067\u306f\u3001\u7814\u7a76\u30c4\u30fc\u30eb\u304b\u3089\u904b\u7528\u74b0\u5883\u3067\u52d5\u4f5c\u3059\u308b\u3082\u306e\u3078\u306e\u8ee2\u63db\u304c\u5ba3\u8a00\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\r\n\r\n<h4 class=\"articletit-H4\">Microsoft Cognitive Toolkit\u306e\u4fbf\u5229\u306a\u70b9<\/h4>\r\n<p class=\"normal-Txt\">Microsoft Cognitive Toolkit\u3092\u5229\u7528\u3059\u308b\u3068\u3001\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\/\u8a55\u4fa1\u3092\u9ad8\u901f\u3067\u51e6\u7406\u3059\u308b\u3053\u3068\u304c\u53ef\u80fd\u3067\u3059\u3002GPU\u4e0a\u3067\u306e\u52d5\u4f5c\u3092\u5ff5\u982d\u306b\u8a2d\u8a08\u3055\u308c\u3066\u3044\u307e\u3059\u304c\u3001\u5c0f\u898f\u6a21\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3067\u3082\u5229\u7528\u53ef\u80fd\u3067\u3059\u3002<\/p>\r\n<p class=\"normal-Txt\">\u5de8\u5927\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u51e6\u7406\u6642\u306e\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u4f4e\u4e0b\u3092\u6700\u5c0f\u5316\u3059\u308b\u305f\u3081\u306e\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u304c\u7d44\u307f\u8fbc\u307e\u308c\u3066\u3044\u308b\u305f\u3081\u3001\u8907\u6570\u30de\u30b7\u30f3\u3067\u5de8\u5927\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u6271\u3046\u5834\u5408\u306b\u304a\u3044\u3066\u3001\u4ed6\u306e\u30c4\u30fc\u30eb\u30ad\u30c3\u30c8\u306b\u5bfe\u3059\u308b\u512a\u4f4d\u6027\u304c\u3042\u308b\u3068\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\r\n\r\n<h4 class=\"articletit-H4\">Microsoft Cognitive Toolkit\u306e\u5229\u7528\u30b7\u30fc\u30f3<\/h4>\r\n<p class=\"normal-Txt\">Microsoft Cognitive Toolkit\u306e\u5229\u7528\u30b7\u30fc\u30f3\u3068\u3057\u3066\u306f\u3001Skype\u306e\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u7ffb\u8a33\u306b\u5229\u7528\u3055\u308c\u3066\u3044\u307e\u3059\u3002\r\n\u56fd\u5185\u3067\u306f\u3001\u4e09\u4e95\u4f4f\u53cb\u9280\u884c\u304c\u81ea\u52d5\u5fdc\u7b54\u30b7\u30b9\u30c6\u30e0\u3067\u5229\u7528\u3057\u3066\u3044\u307e\u3059\u3002\r\n\u9ad8\u5ea6\u306fAI\u30bd\u30ea\u30e5\u30fc\u30b7\u30e7\u30f3\u306b\u3088\u308a\u3001\u6df1\u5c64\u5b66\u7fd2\u30e2\u30c7\u30eb\u306b\u3088\u3063\u3066\u3001\u5bfe\u8a71\u5168\u4f53\u306e\u6587\u8108\u3084\u610f\u5473\u3092\u6349\u3048\u3001\u8cea\u554f\u306e\u8ffd\u52a0\u3084\u5909\u66f4\u3092\u81ea\u52d5\u5fdc\u7b54\u3067\u5bfe\u5fdc\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3057\u305f\u3002<\/p>\r\n<p class=\"normal-Txt\">\u305d\u306e\u4ed6\u306b\u3082\u3001\u753b\u50cf\u3084\u97f3\u58f0\u8a8d\u8b58\u3001\u9854\u8a8d\u8b58\u3068\u3044\u3063\u305f\u5206\u91ce\u3067\u3082\u6d3b\u7528\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\r\n\r\n<h3 class=\"articletit-H3\"><span id=\"PaddlePaddle\">PaddlePaddle\uff08\u30d1\u30c9\u30eb\u30d1\u30c9\u30eb\uff09<\/span><\/h3>\r\n<h4 class=\"articletit-H4\">PaddlePaddle\u306e\u7279\u5fb4<\/h4>\r\n<p class=\"normal-Txt\">PaddlePadlle\u306f\u3001\u4e2d\u56fd\u6700\u5927\u624b\u306e\u691c\u7d22\u30b5\u30a4\u30c8\u3000\u767e\u5ea6\uff08Baidu\/\u30d0\u30a4\u30c9\u30a5\uff09\u304c\u4f5c\u6210\u3057\u305f\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u306e\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3067\u3059\u3002\u300c\u30d1\u30c9\u30eb\u30d1\u30c9\u30eb\u300d\u3068\u8aad\u307f\u307e\u3059\u3002Chainer\u304c\u56fd\u5185\u3067\u65e5\u672c\u4eba\u306b\u4eba\u6c17\u306a\u3053\u3068\u3068\u540c\u3058\u3088\u3046\u306b\u3001\u4e2d\u56fd\u3067\u306f\u4e2d\u56fd\u8a9e\u3067\u66f8\u304b\u308c\u305f\u958b\u767a\u8cc7\u6599\u304c\u591a\u304f\u5b58\u5728\u3057\u3066\u3044\u308bPaddlePadlle\u304c\u4eba\u6c17\u3067\u3059\u3002<\/p>\r\n<p class=\"normal-Txt\">PaddlePadlle\u306e\u7279\u5fb4\u306f\u3001\u30af\u30e9\u30a6\u30c9\u3060\u3051\u3067\u306a\u304f\u3001\u5206\u6563\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u306e\u30af\u30e9\u30b9\u30bf\u3067\u9ad8\u901f\u306b\u7a3c\u50cd\u3059\u308b\u3053\u3068\u3067\u3059\u3002\r\n\u3053\u308c\u306f\u958b\u767a\u5143\u306eBaidu\u304c\u30af\u30e9\u30a6\u30c9\u30b5\u30fc\u30d3\u30b9\u306b\u5f31\u3044\u3068\u3044\u3046\u3053\u3068\u304c\u4e3b\u306a\u539f\u56e0\u3067\u306f\u3042\u308a\u307e\u3059\u304c\u3001\u30af\u30e9\u30b9\u30bf\u4e0a\u3067\u7a3c\u50cd\u3059\u308b\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u306b\u8ced\u3051\u3066\u3044\u308b\u3068\u3082\u3044\u3048\u307e\u3059\u3002<\/p>\r\n<p class=\"normal-Txt\">\u4e2d\u56fd\u3067\u306f\u73fe\u5728\u3001\u56fd\u7b56\u3068\u3057\u3066\u4eba\u5de5\u77e5\u80fd\u306b\u529b\u3092\u5165\u308c\u3066\u304a\u308a\u3001\u30a2\u30e1\u30ea\u30ab\u3088\u308a\u3082\u591a\u304fAI\u7814\u7a76\u304c\u884c\u308f\u308c\u3066\u3044\u307e\u3059\u3002\u305d\u306e\u305f\u3081\u3001\u98a8\u571f\u3068\u3057\u3066\u65b0\u3057\u3044\u6280\u8853\u3092\u53d6\u308a\u5165\u308c\u308b\u6a5f\u904b\u3082\u9ad8\u307e\u3063\u3066\u3044\u308b\u305f\u3081\u3001\u3053\u308c\u304b\u3089\u591a\u304f\u306e\u4e2d\u56fd\u7cfb\u4f01\u696d\u304c\u56fd\u7523\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3067\u3042\u308bPaddlePadlle\u3092\u4f7f\u3063\u3066\u3086\u304f\u3082\u306e\u3068\u601d\u308f\u308c\u307e\u3059\u3002<\/p>\r\n\r\n<h4 class=\"articletit-H4\">PaddlePaddle\u306e\u4fbf\u5229\u306a\u70b9<\/h4>\r\n<p class=\"normal-Txt\">PaddlePadlle\u306e\u4fbf\u5229\u306a\u70b9\u3068\u3057\u3066\u306f\u3001\u4e2d\u56fd\u3067\u5f37\u3044\u3068\u3044\u3046\u3053\u3068\u3067\u3059\u3002<\/p>\r\n<p class=\"normal-Txt\">\u4e2d\u56fd\u3067\u306f\u653f\u5e9c\u306b\u3088\u3063\u3066 Google \u306e\u30b5\u30fc\u30d3\u30b9\u304c\u906e\u65ad\u3055\u308c\u3066\u3044\u308b\u305f\u3081\u3001Tensorflow\u304c\u4f7f\u3044\u306b\u304f\u3044\u3053\u3068\u306b\u52a0\u3048\u3066\u3001\u8a00\u8a9e\u969c\u58c1\u304c\u3042\u308b\u305f\u3081\u6b27\u7c73\u306e AI \u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u304c\u6d78\u900f\u3057\u306b\u304f\u3044\u305f\u3081\u3001\u4e2d\u56fd\u3067\u4f5c\u3089\u308c\u305fPaddlePaddle\u304c\u4f7f\u308f\u308c\u307e\u3059\u3002<\/p>\r\n<p class=\"normal-Txt\">PaddlePaddle \u306f\u3001\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u69cb\u7bc9\u3057\u3001 AI \u3092\u5b9f\u73fe\u3059\u308b\u30a2\u30d7\u30ed\u30fc\u30c1\u306e\u4e2d\u3067\u3001\u4f8b\u3048\u3070\u30cd\u30b3\u306e\u753b\u50cf\u3092\u8a8d\u8b58\u3057\u3001\u4e2d\u56fd\u8a9e\u306e\u4f1a\u8a71\u3092\u6587\u5b57\u8d77\u3053\u3057\u3059\u308b\u306a\u3069\u3001\u69d8\u3005\u306a\u80fd\u529b\u3092\u5b66\u7fd2\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\r\n<p class=\"normal-Txt\">\u307e\u305f\u3001\u4ed6\u306e\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u304c\u30af\u30e9\u30a6\u30c9\u3067\u306e\u52d5\u4f5c\u3092\u57fa\u672c\u3068\u3059\u308b\u306e\u306b\u5bfe\u3057\u3001PaddlePaddle \u306f\u30af\u30e9\u30b9\u30bf\u3067\u7a3c\u50cd\u3059\u308b\u3088\u3046\u8a2d\u8a08\u3055\u308c\u3066\u3044\u307e\u3059\u3002\r\n\u30af\u30e9\u30b9\u30bf\u3068\u306f\u76f8\u4e92\u63a5\u7d9a\u3055\u308c\u305f\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u7fa4\u306e\u3053\u3068\u3067\u3001\u3088\u308a\u7d30\u304b\u304f\u5236\u5fa1\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u3068\u3044\u3046\u5229\u70b9\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\r\n\r\n<h4 class=\"articletit-H4\">PaddlePaddle\u306e\u5229\u7528\u30b7\u30fc\u30f3<\/h4>\r\n<p class=\"normal-Txt\">PaddlePadlle\u306f\u3001\u4e2d\u56fd\u8a9e\u306b\u5f37\u304f\u3001\u30af\u30e9\u30a6\u30c9\u3067\u306f\u306a\u304f\u30af\u30e9\u30b9\u30bf\u3067\u306e\u5229\u7528\u3092\u91cd\u8996\u3057\u3066\u3044\u307e\u3059\u3002\u81ea\u524d\u306e\u30b5\u30fc\u30d0\u30fc\u3067AI\u3092\u69cb\u7bc9\u3092\u3059\u308b\u5834\u5408\u306b\u5229\u7528\u3059\u308b\u304b\u3092\u691c\u8a0e\u3057\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\r\n\r\n<h3 class=\"articletit-H3\"><span id=\"Caffe\">Caffe\uff08\u30ab\u30d5\u30a7\uff09<\/span><\/h3>\r\n<h4 class=\"articletit-H4\">Caffe\u306e\u7279\u5fb4<\/h4>\r\n<p class=\"normal-Txt\">Caffe\u306fPython\u3067\u4f5c\u3089\u308c\u305f\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u306e\u305f\u3081\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3059\u3002\u300c\u30ab\u30d5\u30a7\u300d\u3068\u8aad\u307f\u307e\u3059\u3002\u6df1\u5c64\u5b66\u7fd2\u306e\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3068\u3044\u3046\u6280\u8853\u306b\u95a2\u3059\u308b\u3055\u307e\u3056\u307e\u306a\u6a5f\u80fd\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002\u306a\u304b\u3067\u3082\u753b\u50cf\u8a8d\u8b58\u306e\u51e6\u7406\u3092\u5f97\u610f\u3068\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\r\n<p class=\"normal-Txt\">\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u3067\u3042\u308bCaffe\u306f\u3001\u30ab\u30ea\u30d5\u30a9\u30eb\u30cb\u30a2\u5927\u5b66\u30d0\u30fc\u30af\u30ec\u30fc\u6821\u306eBerkeley Vision and Learning Center\uff08BVLC\uff09\u3092\u4e2d\u5fc3\u306b\u4e16\u754c\u4e2d\u306e\u30b3\u30df\u30c3\u30bf\u30fc\u304c\u958b\u767a\u3092\u3059\u3059\u3081\u3066\u3044\u307e\u3059\u3002C++\u306b\u3088\u308b\u5b9f\u88c5\u306e\u305f\u3081\u3001\u9ad8\u901f\u306b\u52d5\u4f5c\u3057\u307e\u3059\u3002<\/p>\r\n\r\n<h4 class=\"articletit-H4\">Caffe\u306e\u4fbf\u5229\u306a\u70b9<\/h4>\r\n<p class=\"normal-Txt\">Caffe\u304c\u4fbf\u5229\u306a\u70b9\u3068\u3057\u3066\u3001C++\u3067\u5b9f\u88c5\u3055\u308c\u3001GPU\u306b\u5bfe\u5fdc\u3057\u3066\u3044\u308b\u305f\u3081\u3001\u9ad8\u901f\u306a\u8a08\u7b97\u51e6\u7406\u304c\u53ef\u80fd\u306a\u3053\u3068\u304c\u3042\u3052\u3089\u308c\u307e\u3059\u3002<\/p>\r\n<p class=\"normal-Txt\">\u307e\u305f\u3001Caffe is a community\u3000\u3068\u3044\u3046\u30ad\u30e3\u30c3\u30c1\u30b3\u30d4\u30fc\u3082\u3042\u308b\u307b\u3069\u3001\u958b\u767a\u30b3\u30df\u30e5\u30cb\u30c6\u30a3\u30fc\u304c\u6d3b\u767a\u306bGitHub\u3092\u66f4\u65b0\u3057\u3066\u3044\u305f\u308a\u3001\u30b5\u30f3\u30d7\u30eb\u30b3\u30fc\u30c9\u3082\u591a\u304f\u63d0\u4f9b\u3055\u308c\u3066\u3044\u308b\u305f\u3081\u3001\u521d\u5fc3\u8005\u306b\u3082\u304a\u3059\u3059\u3081\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3059\u3002<\/p>\r\n<p class=\"normal-Txt\">\u305d\u306e\u30b5\u30f3\u30d7\u30eb\u30b3\u30fc\u30c9\u306b\u3001\u5927\u898f\u6a21\u753b\u50cf\u8a8d\u8b58\u306e\u30b3\u30f3\u30c6\u30b9\u30c8\u300cILSVRC\u300d\u30672012\u5e74\u306b\u9996\u4f4d\u3092\u7372\u5f97\u3057\u305f\u300c\u7573\u307f\u8fbc\u307f\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u753b\u50cf\u5206\u985e\u30e2\u30c7\u30eb\u300d\u304c\u3042\u308a\u3001\u76f4\u3050\u306b\u5229\u7528\u3067\u304d\u308b\u3068\u3044\u3046\u306e\u3082\u5229\u70b9\u3067\u3059\u3002<\/p>\r\n\r\n<h4 class=\"articletit-H4\">Caffe\u306e\u5229\u7528\u30b7\u30fc\u30f3<\/h4>\r\n<p 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noreferrer\">AI\u30b8\u30e7\u30d6\u30ad\u30e3\u30f3\u30d7\u306f\u3053\u3061\u3089<\/a><\/div>\r\n<h2 class=\"articletit-H2\"><span id=\"i-4\">\u307e\u3068\u3081<\/span><\/h2>\r\n<p class=\"normal-Txt\">\u4eca\u56de\u306f\u3001\u6a5f\u68b0\u5b66\u7fd2\u3067\u4eba\u6c17\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u3084\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u306e\u304a\u3059\u3059\u3081\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u304b\u3089\u53b3\u9078\u3057\u305f15\u500b\u3092\u7d39\u4ecb\u3057\u307e\u3057\u305f\u3002\u6a5f\u68b0\u5b66\u7fd2\u306e\u5b9f\u52d9\u3067\u306f\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u8a00\u8a9e\u306bPython\u304c\u63a1\u7528\u3055\u308c\u308b\u5834\u5408\u304c\u591a\u3044\u3067\u3059\u304c\u3001\u7d39\u4ecb\u3057\u305f\u4e2d\u306b\u306fC++\u3084Java\u306b\u5bfe\u5fdc\u3057\u3066\u3044\u308b\u30e9\u30a4\u30d6\u30e9\u30ea\u30fb\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3082\u3042\u308a\u307e\u3059\u3002<\/p>\r\n<p 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