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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Otimizadores Velozes | 303
rede teria bons detectores de características de rostos, portanto, reutilizar suas cama-
das inferiores permitiria que você formasse um bom classificador de rostos utilizando
poucos dados de treinamento.
Normalmente, reunir exemplos de treinamento não rotulados é barato, mas rotulá-los
é bem caro. Uma técnica comum nessa situação é rotular todos os seus exemplos de
treinamento como “bom", em seguida gerar várias novas instâncias de treinamento
corrompendo as boas e rotulando essas instâncias corrompidas como “ruim". Então
você pode treinar uma primeira rede neural a fim de classificar instâncias como boas
ou ruins. Po ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.