August 2018
Intermediate to advanced
272 pages
7h 2m
English
book
Hands-On Convolutional Neural Networks with TensorFlow
by Iffat Zafar, Giounona Tzanidou, Richard Burton, Nimesh Patel, Leonardo Araujo
Content preview from Hands-On Convolutional Neural Networks with TensorFlow
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The reparameterization trick
The idea of the reparameterization trick is to take out the random sample node from the backpropagation loop. It achieves this by taking a sample epsilon from a Gaussian distribution and then multiplying this by the result of our standard deviation vector σ and then adding μ. The formula for our latent vector is now this:
The produced latent vectors will be the same as before, but making this change now allows the gradients to flow back through to the encoder part of the VAE. The following diagram shows the VAE ...
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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.