HTN20190109 https://blog.hatena.ne.jp/HTN20190109/ HTN20190109の日記 https://htn20190109.hatenablog.com/ DL import numpy as np def softmax(x): # 数値安定化 x = x - np.max(x, axis=1, keepdims=True) return np.exp(x) / np.sum(np.exp(x), axis=1, keepdims=True) def forward(hs, h): """ hs: (N, T, H) 全時刻の隠れ状態 h : (N, H) 現在の隠れ状態 """ N, T, H = hs.shape # hを(T方向に)拡張 hr = h.reshape(N, 1, H).repeat(T, axis=1) # 内積（要素積 → 和… 190 <iframe src="https://hatenablog-parts.com/embed?url=https%3A%2F%2Fhtn20190109.hatenablog.com%2Fentry%2F2026%2F05%2F06%2F104111" title="グローバルアテンションモデル - HTN20190109の日記" class="embed-card embed-blogcard" scrolling="no" frameborder="0" style="display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;"></iframe> Hatena Blog https://hatena.blog 2026-05-06 10:41:11 rich https://htn20190109.hatenablog.com/entry/2026/05/06/104111 1.0 100%