derwind https://blog.hatena.ne.jp/derwind/ らんだむな記憶 https://randommemory.hatenablog.com/ machine_learning MOOC ここまでの結果をまとめると、 \begin{align} \begin{cases} \delta_i^{\ell} = \left( (\widetilde{\Theta^{\ell}})^T \delta^{\ell + 1} \right)_i\,\varsigma^\prime(z_i^{\ell}), &2 \le \ell \le L - 1,\ 1 \le i \le s_{\ell + 1} \\ \delta_i^L = a_i^L - y_i, &1 \le i \le K \end{cases} \end{align} と \begin{equation} \frac{\… 190 <iframe src="https://hatenablog-parts.com/embed?url=https%3A%2F%2Frandommemory.hatenablog.com%2Fentry%2F2015%2F09%2F11%2F071642" title="ニューラルネットワーク (4) 誤差逆伝播法 (3) - らんだむな記憶" 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 2015-09-11 07:16:42 rich https://randommemory.hatenablog.com/entry/2015/09/11/071642 1.0 100%