March 2019
Intermediate to advanced
576 pages
20h 51m
Portuguese (Portugal, Brazil)
Content preview from Mãos à Obra: Aprendizado de Máquina com Scikit-Learn e TensorFlow
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Camada Convolucional | 379
Requisitos de Memória
Outro problema com as CNNs é que as camadas convolucionais requerem uma quanti-
dade enorme de RAM, especialmente durante o treinamento, porque o reverse pass da
retropropagação requer todos os valores intermediários calculados durante o forward pass.
Por exemplo, considere uma camada convolucional com filtros 5 × 5 produzindo 200 mapas
de tamanho 150 × 100, com stride de 1 e padding SAME. Se a entrada for uma imagem
RGB de 150 × 100 (três canais), então o número de parâmetros será (5 × 5 × 3 + 1) × 200 =
15.200 (o +1 corresponde aos termos de polarização), o que é minúsculo se comparado com
uma ca ...
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