May 2019
Intermediate to advanced
272 pages
7h 19m
English
Content preview from Hands-On Generative Adversarial Networks with Keras
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Section 1: Introduction and Environment Setup
This section features an introduction to the basics of deep learning, how to set up a deep learning environment with Python and Keras, and how to go about acquiring data. You will also benefit from an introduction to generative models, including Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Normalizing Flow (NF).
The following chapters will be covered in this section:
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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.