April 2025
Intermediate to advanced
456 pages
11h 35m
Portuguese (Portugal, Brazil)
Content preview from Generative Deep Learning, 2ª Edição
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Parte I. Introdução àDeep Learning generativa
A Parte I é uma introdução geral à modelação generativa e à aprendizagem profunda - os dois campos que precisamos de compreender para começar a utilizar aaprendizagem profunda generativa!
No Capítulo 1, definimos a modelação generativa e consideramos um exemplo de brinquedo que podemos utilizar para compreender alguns dos conceitos-chave que são importantes para todos os modelos generativos. Também apresentamos a taxonomia das famílias de modelos generativos que exploraremos na Parte II deste livro.
O Capítulo 2 fornece um guia para as ferramentas e técnicas de Deep Learning de que precisaremos para começar a construir modelos generativos mais complexos. Em particular, vamos construir o nosso primeiro exemplo de uma rede neural profunda - um perceptron multicamada (MLP) - utilizando o Keras. Em seguida, adapta-o para incluir camadas convolucionais e outras melhorias, para observar a diferença no desempenho.
No final da Parte I, terás uma boa compreensão dos conceitos fundamentais que sustentam todas as técnicas nas partes posteriores do livro.
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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.