December 2019
Intermediate to advanced
468 pages
14h 28m
English
Content preview from Advanced Deep Learning with Python
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Training GANs
Our main goal is for the generator to produce realistic images, and the GAN framework is a vehicle for that goal. We'll train the generator and the discriminator separately and sequentially (one after the other) and alternate between the two phases multiple times.
Before going into more detail, let's use the following diagram to introduce some notations:
- We'll denote the generator with
, where 
is the network weights and z is the latent vector, which serves as an input to the generator. Think of it as a random seed value to kickstart ...
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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.