July 2019
Intermediate to advanced
512 pages
19h 39m
English
Content preview from Hands-On Deep Learning Algorithms with Python
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Define the input placeholders
Now we define the placeholder for the input, 
, the noise, 
, and the code, 
:
batch_size = 64input_shape = [batch_size, 28,28,1]x = tf.placeholder(tf.float32, input_shape)z = tf.placeholder(tf.float32, [batch_size, 64])c = tf.placeholder(tf.float32, [batch_size, 10])is_train = tf.placeholder(tf.bool)
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