{"width":"100%","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Frandommemory.hatenablog.com%2Fentry%2F2019%2F09%2F28%2F215705\" title=\"Keras\u3068PyTorch\u306e\u5dee\u7570 - \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>","categories":["machine_learning"],"provider_url":"https://hatena.blog","description":"Keras\u3092\u52c9\u5f37\u3057\u305f\u5f8c\u306bPyTorch\u3092\u52c9\u5f37\u3057\u3066\u8e93\u3044\u305f\u3053\u3068 - Qiita \u3046\u301c\u3093\u3001torch.nn.CrossEntropyLoss \u3067\u6570\u5024\u8a08\u7b97\u306e\u5b89\u5b9a\u6027\u306e\u305f\u3081\u306b log \u307e\u3067\u8a08\u7b97\u3059\u308b\u306e\u306b\u306f\u6ce8\u610f\u30fb\u30fb\u30fb\u3002Channel First \u3068 Channel Last \u306e\u9055\u3044\u3082\u6c17\u306b\u3057\u3066\u304a\u3044\u305f\u307b\u3046\u304c\u3044\u3044\u306e\u304b\u306a\uff1f torch.nn \u2014 PyTorch master documentation\u3092\u8aad\u3093\u3067\u306d\u3068\u3044\u3046\u8a71\u3002","author_url":"https://blog.hatena.ne.jp/derwind/","blog_title":"\u3089\u3093\u3060\u3080\u306a\u8a18\u61b6","provider_name":"Hatena Blog","image_url":null,"published":"2019-09-28 21:57:05","height":"190","type":"rich","author_name":"derwind","url":"https://randommemory.hatenablog.com/entry/2019/09/28/215705","version":"1.0","blog_url":"https://randommemory.hatenablog.com/","title":"Keras\u3068PyTorch\u306e\u5dee\u7570"}