{"author_url":"https://blog.hatena.ne.jp/aidiary/","blog_url":"https://aidiary.hatenablog.com/","title":"Keras\u3067MNIST","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Faidiary.hatenablog.com%2Fentry%2F20161109%2F1478696865\" title=\"Keras\u3067MNIST - \u4eba\u5de5\u77e5\u80fd\u306b\u95a2\u3059\u308b\u65ad\u5275\u9332\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","width":"100%","published":"2016-11-09 22:07:45","type":"rich","version":"1.0","provider_url":"https://hatena.blog","blog_title":"\u4eba\u5de5\u77e5\u80fd\u306b\u95a2\u3059\u308b\u65ad\u5275\u9332","description":"\u4eca\u56de\u306f\u3001Keras\u3067MNIST\u306e\u6570\u5b57\u8a8d\u8b58\u3092\u3059\u308b\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u66f8\u3044\u305f\u3002\u3053\u306e\u30bf\u30b9\u30af\u306f\u3001Keras\u306e\u4f8b\u984c\u306b\u3082\u542b\u307e\u308c\u3066\u3044\u308b\u3002\u4eca\u307e\u3067\u4f7f\u3063\u3066\u3053\u306a\u304b\u3063\u305f\u30e2\u30c7\u30eb\u306e\u53ef\u8996\u5316\u3001Early-stopping\u306b\u3088\u308b\u53ce\u675f\u5224\u5b9a\u3001\u5b66\u7fd2\u5c65\u6b74\u306e\u30d7\u30ed\u30c3\u30c8\u306a\u3069\u3082\u53d6\u308a\u4e0a\u3052\u3066\u307f\u305f\u3002 \u30bd\u30fc\u30b9\u30b3\u30fc\u30c9: mnist.py MNIST\u30c7\u30fc\u30bf\u306e\u30ed\u30fc\u30c9\u3068\u524d\u51e6\u7406 MNIST\u3092\u30ed\u30fc\u30c9\u3059\u308b\u30e2\u30b8\u30e5\u30fc\u30eb\u306fKeras\u3067\u63d0\u4f9b\u3055\u308c\u3066\u3044\u308b\u306e\u3067\u4f7f\u3063\u305f\u3002 from keras.datasets import mnist from keras.utils import np_utils # MNIST\u30c7\u30fc\u30bf\u306e\u30ed\u30fc\u30c9 (X_train, y_train), (X_test, \u2026","provider_name":"Hatena Blog","height":"190","author_name":"aidiary","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/a/aidiary/20161108/20161108215909.png","categories":["Deep Learning","Keras"],"url":"https://aidiary.hatenablog.com/entry/20161109/1478696865"}