January 2019
Intermediate to advanced
316 pages
8h 16m
English
Content preview from Generative Adversarial Networks Projects
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Conditional augmentation network
The purpose of the CA network is to convert a text embedding vector (
) to a conditioning latent variable (
). In the CA network, the text embedding vector is passed through a fully connected layer with nonlinearity, which produces the mean 
and the diagonal covariance matrix 
.
The following code shows how to create ...
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