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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
544 | Apêndice E : Outras Arquiteturas Populares de RNA
meçando com as camadas inferiores e, em seguida, movendo-se gradualmente até as
camadas superiores, levando ao artigo inovador que deu início ao tsunami do Apren-
dizado Profundo em 2006 (http://goo.gl/BcZQrH).
2
Assim como as RBMs, as DBNs aprendem a reproduzir a distribuição de probabilidade
de suas entradas sem qualquer supervisão. No entanto, são muito melhores nisso, pela
mesma razão que as redes neurais profundas são mais poderosas que as rasas: os da-
dos do mundo real costumam ser organizados em padrões hierárquicos, e as DBNs se
aproveitam disso. Suas camadas inferiores aprendem ca ...
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Publisher Resources

ISBN: 9788550803814