July 2019
Intermediate to advanced
512 pages
19h 39m
English
Content preview from Hands-On Deep Learning Algorithms with Python
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Defining the generator
Define the generator samples from the learned distribution and generates an image:
decoder_input = Input(shape=(latent_dim,))_decoded = decoder_hidden(decoder_input)_reconstructed = decoder_reconstruct(_decoded)generator = Model(decoder_input, _reconstructed)
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