{"provider_url":"https://hatena.blog","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Frandommemory.hatenablog.com%2Fentry%2F2019%2F09%2F22%2F003643\" title=\"\u8aa4\u5dee\u9006\u4f1d\u64ad\u6cd5\u306b\u3064\u3044\u3066\u518d\u3073\u8003\u3048\u3066\u307f\u308b(1) - \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>","provider_name":"Hatena Blog","url":"https://randommemory.hatenablog.com/entry/2019/09/22/003643","height":"190","categories":["machine_learning"],"version":"1.0","width":"100%","type":"rich","title":"\u8aa4\u5dee\u9006\u4f1d\u64ad\u6cd5\u306b\u3064\u3044\u3066\u518d\u3073\u8003\u3048\u3066\u307f\u308b(1)","author_name":"derwind","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/d/derwind/20190922/20190922003831.png","description":"\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af (4) \u8aa4\u5dee\u9006\u4f1d\u64ad\u6cd5 (1) - \u3089\u3093\u3060\u3080\u306a\u8a18\u61b6\u5f53\u6642\u306f\u7d19\u306b\u6570\u5f0f\u3092\u66f8\u304d\u51fa\u3057\u306a\u304c\u3089\u691c\u8a3c\u3057\u305f\u30b3\u30ec\u3082\u4eca\u66f4\u898b\u3066\u3082\u3088\u304f\u5206\u304b\u3089\u306a\u3044\u3093\u3067\u3002Udacity\u306eud188\u3092\u4f7f\u3063\u3066\u3082\u3046\u4e00\u5ea6\u8003\u3048\u3066\u307f\u308b\u3002(deep-learning-v2-pytorch/Part 3 - Training Neural Networks (Exercises).ipynb at master \u00b7 udacity/deep-learning-v2-pytorch \u00b7 GitHub\u304c\u53c2\u8003\u306b\u306a\u308b) forward propagation \u3067\u306f $L_1 = W_1 x + b_1$ $L_2 = S(L_1) = S(\u2026","author_url":"https://blog.hatena.ne.jp/derwind/","blog_url":"https://randommemory.hatenablog.com/","blog_title":"\u3089\u3093\u3060\u3080\u306a\u8a18\u61b6","published":"2019-09-22 00:36:43"}