Official Tensorflow implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation (ICLR 2020)
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What does parameter 'sn' mean in function fully_connected_with_w? #46
In the file ops.py, the prototype of function fully_connected_with_w is defined as:
def fully_connected_with_w(x, use_bias=True, sn=False, reuse=False, scope='linear')
what is the purpose of parameter 'sn' here?
In the file ops.py, the prototype of function fully_connected_with_w is defined as:
def fully_connected_with_w(x, use_bias=True, sn=False, reuse=False, scope='linear')
what is the purpose of parameter 'sn' here?