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Hi
I was searching on how to implement the weight norm in the Tensorflow when I came across your repository.
I have read the Conv2DWeightNorm implementation but I can't quite understand how does it function. Why there is no need to override the call method implementation? How does the kernel get normalize after each update?
I would be glad if you could help me to grasp the mechanism.
The text was updated successfully, but these errors were encountered:
Hi
I was searching on how to implement the weight norm in the Tensorflow when I came across your repository.
I have read the Conv2DWeightNorm implementation but I can't quite understand how does it function. Why there is no need to override the call method implementation? How does the kernel get normalize after each update?
I would be glad if you could help me to grasp the mechanism.
The text was updated successfully, but these errors were encountered: