February 2019
Intermediate to advanced
386 pages
9h 54m
English
Content preview from Hands-On Unsupervised Learning with Python
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Questions
- In a GAN, the generator and discriminator play the same roles as the encoder and decoder in an autoencoder. Is this correct?
- Can a discriminator output values in the range (-1, 1)?
- One of the problems with GANs is the premature convergence of the discriminator. It this correct?
- In a Wasserstein GAN, is the critic (the discriminator) slower than the generator during the training phase?
- Considering the previous question, what is the reason for the different speeds?
- What is the value of the Jensen-Shannon divergence between U(-1, 0) and U(1, 2)?
- What is the goal of the winner-takes-all strategy?
- What's the purpose of the adjustment phase of the SOM training process?
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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.