{"provider_url":"https://hatena.blog","version":"1.0","blog_title":"\u6e0b\u8c37\u99c5\u524d\u3067\u50cd\u304f\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30c6\u30a3\u30b9\u30c8\u306e\u30d6\u30ed\u30b0","type":"rich","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Ftjo.hatenablog.com%2Fentry%2F2019%2F02%2F06%2F190000\" title=\"\u751fTensorFlow\u4e03\u8ee2\u516b\u5012\u8a18(10)\uff1a\u30c6\u30ad\u30b9\u30c8\u30c7\u30fc\u30bf\u3092TF-Hub\u3067feature vector\u306b\u76f4\u3057\u3066\u304b\u3089t-SNE\u306b\u304b\u3051\u3066\u307f\u308b - \u6e0b\u8c37\u99c5\u524d\u3067\u50cd\u304f\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30c6\u30a3\u30b9\u30c8\u306e\u30d6\u30ed\u30b0\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","published":"2019-02-06 19:00:00","description":"\u4eca\u56de\u3082\u305f\u3060\u306e\u5099\u5fd8\u9332\u3067\u3059\u304c\u3001\u3069\u3061\u3089\u304b\u3068\u3044\u3046\u3068\u756a\u5916\u7de8\u3067\u3059\u3002TensorFlow\u90e8\u5206\u306f\u3042\u304f\u307e\u3067\u3082TF-Hub\u3067\u30c6\u30ad\u30b9\u30c8\u30c7\u30fc\u30bf\u3092feature vector\u306b\u76f4\u3059\u3068\u3053\u308d\u307e\u3067\u306e\u307f\u3067\u3001\u305d\u3053\u304b\u3089\u5148\u306f\u4eca\u307e\u3067\u3042\u307e\u308a\u8a66\u3057\u3066\u3053\u306a\u304b\u3063\u305ft-SNE (t-distributed stochastic neighbor embedding)\u3092\u4f7f\u3063\u3066\u3044\u307e\u3059\u3002 \u53c2\u8003\u306b\u3057\u305f\u8a18\u4e8b\u306f\u4ee5\u4e0b\u306e3\u70b9\u3067\u3059\u3002 \u3068\u3044\u3046\u3053\u3068\u3067\u3001\u3060\u3089\u3060\u3089\u66f8\u3044\u3066\u3044\u304d\u307e\u3059\u3002\u3044\u3064\u3082\u306a\u304c\u3089\u3067\u3059\u304c\u3001\u4eca\u56de\u306e\u8a18\u4e8b\u3082\u3044\u3044\u52a0\u6e1b\u306a\u7406\u89e3\u306b\u57fa\u3065\u3044\u3066\u9069\u5f53\u306a\u307e\u3068\u3081\u3092\u66f8\u3044\u3066\u3044\u308b\u3088\u3046\u306a\u3082\u306e\u3067\u3059\u306e\u3067\u3001\u9593\u9055\u3063\u3066\u3044\u308b\u70b9\u3084\u7406\u89e3\u4e0d\u8db3\u306b\u898b\u3048\u308b\u70b9\u304c\u3042\u308a\u307e\u3057\u305f\u3089\u3069\u3057\u3069\u3057\u3054\u6307\u6458\u304f\u3060\u3055\u3044m(_ _)m","height":"190","author_url":"https://blog.hatena.ne.jp/TJO/","provider_name":"Hatena Blog","blog_url":"https://tjo.hatenablog.com/","width":"100%","author_name":"TJO","categories":["Python","TensorFlow","\u751fTensowFlow\u4e03\u8ee2\u516b\u5012\u8a18","\u6a5f\u68b0\u5b66\u7fd2"],"url":"https://tjo.hatenablog.com/entry/2019/02/06/190000","title":"\u751fTensorFlow\u4e03\u8ee2\u516b\u5012\u8a18(10)\uff1a\u30c6\u30ad\u30b9\u30c8\u30c7\u30fc\u30bf\u3092TF-Hub\u3067feature vector\u306b\u76f4\u3057\u3066\u304b\u3089t-SNE\u306b\u304b\u3051\u3066\u307f\u308b","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/T/TJO/20190206/20190206000719.png"}