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ゼロから作るDeep Learning ❸ ―フレームワーク編
book

ゼロから作るDeep Learning ❸ ―フレームワーク編

by 斎藤 康毅
April 2020
Intermediate to advanced
552 pages
6h 13m
Japanese
O'Reilly Japan, Inc.
Content preview from ゼロから作るDeep Learning ❸ ―フレームワーク編

ステップ13可変長の引数(逆伝播編)

前ステップまでの変更により、関数の入出力は複数取れるようになりました。そこでは、順伝播の実装を変更し、正しい計算ができることを確認しました。順伝播の次は、もちろん「逆伝播」です。本ステップでは、逆伝播の実装を行います。

13.1 可変長引数に対応したAddクラスの逆伝播

逆伝播の実装を行うにあたり、まずは図13-1の足し算の計算グラフを見てみましょう。

足し算を行う計算グラフの順伝播と逆伝播(<code class="inline-code tt">y = x0 + x1</code>の微分を求める関数は<code class="inline-code tt">+'</code>で表す)

図13-1 足し算を行う計算グラフの順伝播と逆伝播(y = x0 + x1の微分を求める関数は+'で表す)

図13-1のとおり、足し算の順伝播は入力が2つ、出力が1つです。逆伝播時は、それが逆になり、入力が1つ、出力が2つになります。数式で確認すると、y = x_0 + x_1のとき、微分の公式より\frac{\partial y}{\partial x_0} = 1\frac{\partial y}{\partial x_1} = 1と求められます。

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Publisher Resources

ISBN: 9784873119069Publisher Website