July 2019
Intermediate to advanced
512 pages
19h 39m
English
Content preview from Hands-On Deep Learning Algorithms with Python
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LSGAN in TensorFlow
Implementing LSGAN is the same as the vanilla GAN, except for the change in the loss function. So, instead of looking at the whole code, we will see only how to implement LSGAN's loss function in TensorFlow. The complete code for LSGAN is available in the GitHub repo at http://bit.ly/2HMCrrx.
Let's now see how the loss function of LSGAN is implemented.
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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.