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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
283
Capítulo 11
Treinando Redes Neurais Profundas
No Capítulo 10, introduzimos as redes neurais artificiais e treinamos nossa primeira
rede neural profunda. Mas era uma DNN muito rasa, com apenas duas camadas ocultas.
E, se você precisar resolver um problema muito mais complexo, como detectar cente-
nas de tipos de objetos em imagens de alta resolução? Talvez você precise treinar uma
DNN muito mais profunda, com (digamos) 10 camadas cada uma contendo centenas de
neurônios, conectadas por centenas de milhares de conexões, o que não seria nada fácil:
Primeiro, você enfrentaria o complicado problema dos vanishing gradients (ou
o problema relacio ...
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Publisher Resources

ISBN: 9788550803814