{"blog_title":"\u3089\u3093\u3060\u3080\u306a\u8a18\u61b6","height":"190","blog_url":"https://randommemory.hatenablog.com/","version":"1.0","author_name":"derwind","provider_url":"https://hatena.blog","provider_name":"Hatena Blog","author_url":"https://blog.hatena.ne.jp/derwind/","width":"100%","image_url":null,"type":"rich","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Frandommemory.hatenablog.com%2Fentry%2F2022%2F03%2F15%2F010741\" title=\"DeepAA (2) - \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>","published":"2022-03-15 01:07:41","categories":["machine_learning"],"description":"\u9762\u767d\u3044\u306e\u3067 print(model.summary()) \u3057\u3066\u307f\u308b\u3068\u4ee5\u4e0b\u306e\u3088\u3046\u306b\u7d20\u6734\u306a\u611f\u3058\u3060\u3002 Model: \"model_1\" _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= input_1 (InputLayer) [(None, 64, 64, 1)] 0 __________________________\u2026","title":"DeepAA (2)","url":"https://randommemory.hatenablog.com/entry/2022/03/15/010741"}