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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Ajustando os Hiperparâmetros da Rede Neural | 279
em cada camada, sendo o raciocínio que muitas características de baixo nível podem se
unir em muito menos características de alto nível. Por exemplo, uma rede neural típica
para o MNIST pode ter duas camadas ocultas, a primeira com 300 neurônios e a segunda
com 100. No entanto, esta prática não é tão comum agora e você pode simplesmente
utilizar o mesmo tamanho para todas as camadas ocultas — por exemplo, todas as ca-
madas ocultas com 150 neurônios significa ajustar apenas um hiperparâmetro em vez
de um por camada. Assim como para o número de camadas, você pode tentar aumen-
tar o número de neurônios ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.