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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Avaliação das Ações: o Problema de Atribuição de Crédito | 467
vemos primeiro concatenar 1-outputs para que ele tenha um tensor que contenha
a probabilidade de ambas as ações, esquerda e direita. Observe que, se houvesse
mais de duas ações possíveis, a rede neural teria que gerar uma probabilidade por
ação para que você não precisasse da etapa de concatenação.
Ok, agora temos uma política de rede neural com observações e ações de saída, mas
como a treinamos?
Avaliação das Ações: o Problema de Atribuição de Crédito
Como de costume, se soubéssemos qual seria a melhor ação em cada etapa, poderíamos
treinar a rede neural minimizando a entropia c
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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.