July 2019
Intermediate to advanced
512 pages
19h 39m
English
Content preview from Hands-On Deep Learning Algorithms with Python
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Start training the CGAN
Start the TensorFlow session and initialize the variables:
session = tf.InteractiveSession()tf.global_variables_initializer().run()
Define the batch_size:
batch_size = 128
Define the number of epochs and the number of classes:
num_epochs = 500num_classes = 10
Define the images and labels:
images = (data.train.images)labels = data.train.labels
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