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Mãos à Obra: Aprendizado de Máquina com Scikit-Learn e TensorFlow
book

Mãos à Obra: Aprendizado de Máquina com Scikit-Learn e TensorFlow

by Aurélien Géron
March 2019
Intermediate to advanced
576 pages
20h 51m
Portuguese (Portugal, Brazil)
Alta Books
Content preview from Mãos à Obra: Aprendizado de Máquina com Scikit-Learn e TensorFlow
384 | Capítulo 13: Redes Neurais Convolucionais (CNN)
AlexNet
A arquitetura CNN AlexNet (http://goo.gl/mWRBRp)
9
venceu o desafio 2012 ImageNet
ILSVRC com vantagem: alcançou 17% de taxa de erro no top-5 enquanto o segundo
melhor alcançou apenas 26%! Foi desenvolvida por Alex Krizhevsky (daí o nome), Ilya
Sutskever e Geoffrey Hinton, e foi a primeira a empilhar camadas convolucionais dire-
tamente umas sobre as outras em vez de empilhar uma camada pooling no topo de cada
camada convolucional. Se assemelha muito ao LeNet-5, apenas é muito maior e mais
profunda. A Tabela 13-2 apresenta essa arquitetura.
Tabela 13-2. Arquitetura AlexNet
Camada Tipo ...
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Publisher Resources

ISBN: 9788550803814