ipython notebook
DCGANCopy1.ipynb:
net = slim.conv2d(net, 64, [4, 4], 2, normalizer_fn=None, activation_fn=None, biases_initializer=None, reuse=reuse)
output1 = slim.batch_norm(net)
DCGAN.ipynb:
output2 = slim.conv2d(net, 64 ,[4, 4], 2, normalizer_fn=slim.batch_norm, activation_fn=None, reuse=reuse)