{"description":"\u306f\u3058\u3081\u306b \u8ffd\u8a18\u30102019.04.29\u3011 \u4eca\u56de\u306e\u30b3\u30fc\u30c9 \u53c2\u8003\u8a18\u4e8b DAE(Denoising AE) MNIST\u306b\u3088\u308b\u5b9f\u9a13 \u7d50\u679c Cifer10\u306b\u3088\u308b\u5b9f\u9a13 \u30b3\u30fc\u30c9 \u307e\u3068\u3081 \u306f\u3058\u3081\u306b \u3053\u3093\u306b\u3061\u306f\u3001\u304c\u3093\u304c\u3093\u3067\u3059\u3002\u524d\u56de\u306fAutoEncoder\u306b\u3064\u3044\u3066\u6539\u3081\u3066\u5b9f\u9a13\u3057\u3001\u5099\u5fd8\u9332\u3092\u307e\u3068\u3081\u307e\u3057\u305f\u3002 \u524d\u56de\u306e\u8a18\u4e8b\u306f\u3053\u3061\u3089\u3067\u3059\u3002 gangannikki.hatenadiary.jp\u4eca\u56de\u306f\u524d\u56de\u306e\u7d9a\u304d\u304b\u3089DAE\u306b\u3064\u3044\u3066\u5b9f\u9a13\u3057\u3066\u3044\u304d\u307e\u3059\u3002","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fgangannikki.hatenadiary.jp%2Fentry%2F2019%2F01%2F19%2F000000\" title=\"Keras\u3067DAE(Denoising AE)\u3092\u8a66\u3057\u3066\u307f\u305f\u3010\u5099\u5fd8\u9332\u3011 - gangan\u306e\u6280\u8853\u5099\u5fd8\u9332\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","blog_url":"https://gangannikki.hatenadiary.jp/","url":"https://gangannikki.hatenadiary.jp/entry/2019/01/19/000000","version":"1.0","published":"2019-01-19 00:00:00","author_name":"gangannikki","width":"100%","height":"190","categories":["Deep Learning","Python","Deep Learning-keras"],"provider_name":"Hatena Blog","image_url":null,"title":"Keras\u3067DAE(Denoising AE)\u3092\u8a66\u3057\u3066\u307f\u305f\u3010\u5099\u5fd8\u9332\u3011","blog_title":"gangan\u306e\u6280\u8853\u5099\u5fd8\u9332","author_url":"https://blog.hatena.ne.jp/gangannikki/","provider_url":"https://hatena.blog","type":"rich"}