{"categories":["machine_learning"],"type":"rich","provider_name":"Hatena Blog","version":"1.0","provider_url":"https://hatena.blog","description":"torch.nn.modules.activation \u2014 PyTorch master documentation def forward(self, input): return F.log_softmax(input, self.dim, _stacklevel=5) \u3075\u3080\u3075\u3080\u3002\u7d50\u5c40\u306f torch.nn.functional.log_softmax \u3092\u547c\u3076\u306e\u304b\u3002","url":"https://randommemory.hatenablog.com/entry/2019/12/14/172155","author_name":"derwind","height":"190","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Frandommemory.hatenablog.com%2Fentry%2F2019%2F12%2F14%2F172155\" title=\"torch.nn.LogSoftmax \u3068 torch.nn.functional.log_softmax - \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>","blog_title":"\u3089\u3093\u3060\u3080\u306a\u8a18\u61b6","author_url":"https://blog.hatena.ne.jp/derwind/","image_url":null,"blog_url":"https://randommemory.hatenablog.com/","width":"100%","title":"torch.nn.LogSoftmax \u3068 torch.nn.functional.log_softmax","published":"2019-12-14 17:21:55"}