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 decoder
Define the decoder with two layers:
decoder_hidden = Dense(intermediate_dim, activation='relu')decoder_reconstruct = Dense(original_dim, activation='sigmoid')
Reconstruct the images using decoder which takes the latent vector 
as input and returns the reconstructed image:
decoded = decoder_hidden(z)reconstructed = decoder_reconstruct(decoded)
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