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 encoder
Define the input:
x = Input(shape=(original_dim,))
Encoder hidden layer:
h = Dense(intermediate_dim, activation='relu')(x)
Compute the mean and the variance:
z_mean = Dense(latent_dim)(h)z_log_var = Dense(latent_dim)(h)
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