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simoninithomas/run.py

Created March 7, 2018 09:21
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Cat DCGAN
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run.py
# Load the data and train the network here
dataset = helper.Dataset(glob(os.path.join(data_resized_dir, '*.jpg')))
with tf.Graph().as_default():
losses, samples = train(epochs, batch_size, z_dim, learning_rate_D, learning_rate_G, beta1, dataset.get_batches,
dataset.shape, dataset.image_mode, alpha)
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