November 2017
Intermediate to advanced
274 pages
6h 16m
English
Content preview from Neural Network Programming with TensorFlow
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Wasserstein GAN
WGAN is an option to regular GAN training. WGANs have loss functions that correlate with image quality. Additionally, the stability of the training improves and is not as dependent on the architecture and provide significant learning curves useful for debugging.
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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.