{"author_url":"https://blog.hatena.ne.jp/shoby/","published":"2017-06-07 22:45:14","description":"Keras\u306b\u306f\u904e\u5b66\u7fd2\u3092\u9632\u6b62\u3059\u308b\u305f\u3081\u306eEarlyStopping Callback\u304c\u5b58\u5728\u3057\u307e\u3059\u3002 \u30b3\u30fc\u30eb\u30d0\u30c3\u30af - Keras Documentation \u4f7f\u3044\u65b9 \u4f7f\u3044\u65b9\u306f\u7c21\u5358\u3067\u3001model\u306efit\u30e1\u30bd\u30c3\u30c9\u306ecallback\u306b\u6e21\u3059\u3060\u3051\u3067\u3059\u3002 from keras.callbacks import EarlyStopping model.fit(X_train, Y_train, callbacks=[EarlyStopping(), validation_split=0.25]) \u30c7\u30d5\u30a9\u30eb\u30c8\u3067\u306f val_loss \u306e\u5024\u3092\u76e3\u8996\u3059\u308b\u305f\u3081\u3001fit\u30e1\u30bd\u30c3\u30c9\u306b\u306f validation_data \u3082\u3057\u304f\u306f \u2026","url":"https://blog.shoby.jp/entry/2017/06/07/224514","categories":[],"height":"190","title":"Keras\u3067\u904e\u5b66\u7fd2\u3092\u9632\u6b62\u3059\u308b\u305f\u3081\u306bEarlyStopping Callback\u3092\u4f7f\u3046","blog_title":"shobylogy","type":"rich","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fblog.shoby.jp%2Fentry%2F2017%2F06%2F07%2F224514\" title=\"Keras\u3067\u904e\u5b66\u7fd2\u3092\u9632\u6b62\u3059\u308b\u305f\u3081\u306bEarlyStopping Callback\u3092\u4f7f\u3046 - shobylogy\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","version":"1.0","width":"100%","blog_url":"https://blog.shoby.jp/","provider_url":"https://hatena.blog","provider_name":"Hatena Blog","author_name":"shoby","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/s/shoby/20170607/20170607223917.png"}