April 2020
Intermediate to advanced
552 pages
6h 13m
Japanese
Content preview from ゼロから作るDeep Learning ❸ ―フレームワーク編
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ステップ57conv2d関数とpooling関数
ステップ55とステップ56では、畳み込み層とプーリング層について説明しました。畳み込み演算の実装は、真面目にやるとすれば、for文が幾重にも重なったコードになるでしょう。そのような実装は面倒であり、またNumPyではfor文を使うと処理が遅くなってしまいます。ここでは、for文を使った実装は行わず、im2colという便利な関数を使ったシンプルな実装を行います。ちなみに、im2colという名前は、「image to column」の略記であり、日本語では「画像から列へ」を意味します。
![[注記]](/api/v2/epubs/urn:orm:book:9784873119069/files/images/note.png) |
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DeZeroでは、ニューラルネットワークの変換処理は「関数」として実装します。そして、パラメータを持つレイヤは、 |
57.1 im2colによる展開
im2colは、入力データを“展開”する関数です。畳み込み演算のカーネルにとって都合の良いように入力データを展開します。図57-1に示すように、3階テンソルの入力データに対して、カーネルを適用する領域を取り出します（正確には、バッチ数も含めた4階テンソルに対してカーネル領域を取り出します）。
図57-1 ...
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