{"width":"100%","provider_url":"https://hatena.blog","type":"rich","blog_title":"\u3089\u3093\u3060\u3080\u306a\u8a18\u61b6","url":"https://randommemory.hatenablog.com/entry/2019/11/17/003617","version":"1.0","published":"2019-11-17 00:36:17","height":"190","provider_name":"Hatena Blog","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Frandommemory.hatenablog.com%2Fentry%2F2019%2F11%2F17%2F003617\" title=\"\u6a5f\u68b0\u5b66\u7fd2\u7528\u304f\u305a\u3057\u5b57\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8(2) - \u3089\u3093\u3060\u3080\u306a\u8a18\u61b6\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","title":"\u6a5f\u68b0\u5b66\u7fd2\u7528\u304f\u305a\u3057\u5b57\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8(2)","categories":["machine_learning"],"description":"\u6a5f\u68b0\u5b66\u7fd2\u7528\u304f\u305a\u3057\u5b57\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8 - \u3089\u3093\u3060\u3080\u306a\u8a18\u61b6 \u6298\u89d2\u306a\u306e\u3067\u3061\u3087\u3063\u3068\u904a\u3076\u3002kmnist/kuzushiji_mnist_cnn.py at master \u00b7 rois-codh/kmnist \u00b7 GitHub\u3092\u307b\u307c\u305d\u306e\u307e\u307e\u4f7f\u3046\u304c\u3001\u9069\u5f53\u306bTensorFlow 2.0\u7d4c\u7531\u306eKeras\u306b\u3057\u3064\u3064\u3001Matplotlib\u3067\u53ef\u8996\u5316\u3059\u308b\u3002\u5927\u4f53\u6982\u306d s/keras/tf.keras/g \u3059\u308c\u3070\u826f\u3044\u3002 \u306a\u3093\u304b\u7d50\u679c\u304c Train loss: 1.1413587016105653 Train accuracy: 0.7209 Test loss: 1.5251764030456543 Test accuracy: \u2026","author_name":"derwind","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/d/derwind/20191117/20191117003510.png","author_url":"https://blog.hatena.ne.jp/derwind/","blog_url":"https://randommemory.hatenablog.com/"}