{"blog_title":"\u3089\u3093\u3060\u3080\u306a\u8a18\u61b6","height":"190","categories":["machine_learning"],"width":"100%","type":"rich","provider_url":"https://hatena.blog","url":"https://randommemory.hatenablog.com/entry/2020/06/26/014409","title":"RNN (5)","author_url":"https://blog.hatena.ne.jp/derwind/","description":"https://github.com/oreilly-japan/deep-learning-from-scratch-3/blob/master/steps/step59.py#L45\u306e\u90e8\u5206\u306f\u5177\u4f53\u7684\u306b\u3069\u3046\u3044\u3046\u6b21\u5143\u306e\u30c7\u30fc\u30bf\u304c\u751f\u6210\u3055\u308c\u3066\u3044\u308b\u306e\u3067\u3042\u308d\u3046\u304b\uff1f\u6570\u5f0f\u7684\u306b\u306f \\begin{align} h_t = \\tanh (h_{t-1} W_h + x_t W_x + b) \\end{align} \u3067\u8868\u3055\u308c\u308b\u90e8\u5206\u3067\u3042\u308b\u3002(\u6b63\u78ba\u306b\u306f\u3053\u306e $h_t$ \u306f\u6b21\u306e\u5168\u7d50\u5408\u5c64\u3067 1 \u6b21\u5143\u306b\u5727\u7e2e\u3055\u308c\u308b) print(model.rnn.h.shape, model.rnn.h2h.W.shape, x.shape,\u2026","provider_name":"Hatena Blog","image_url":null,"version":"1.0","blog_url":"https://randommemory.hatenablog.com/","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Frandommemory.hatenablog.com%2Fentry%2F2020%2F06%2F26%2F014409\" title=\"RNN (5) - \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":"2020-06-26 01:44:09","author_name":"derwind"}