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Deep feedforward network (Chapter 6 in Deep learning by Ian Goodfellow)
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深層学習本(Deep learning book by Ian Goodfellow) URL:http://www.deeplearningbook.org/
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Deep feedforward network (Chapter 6 in Deep learning by Ian Goodfellow)
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propagationは自動微分の方法の1種にすぎない 自動微分の手法は大きく2つ 1. バックワードモード蓄積(リバースモード) • Back propagationはこっち • 結果から順々に微分して変数まで りつく 2. フォワードモード蓄積 • 変数の方から微分していって,結果まで りつく
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Dが列ベクトル,Aが多くの行からなる行列の場合 すなわち,入力が多数に対し,出力が一つ 1. フォワードモードで計算 →行列同士の積を追っていく 2. バックワードで計算 →行列とベクトルの積だけを計算 2. Aの行数がDの列数より少ない場合 1. フォワードモードの方が効率いいよね.行列計算が楽. ABCD Backward Forward
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