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My Tensorflow model has some custom layers that I cannot port with the vanilla tool, so I have been looking for ways to port architectures by initializing them with data arrays. But I am having trouble porting specific layers such as convolution and residual layers.
How do I initialize a convolution layer with data of a [h, w, in, out] form?
How do I manually implement a residual layer?
The text was updated successfully, but these errors were encountered:
My Tensorflow model has some custom layers that I cannot port with the vanilla tool, so I have been looking for ways to port architectures by initializing them with data arrays. But I am having trouble porting specific layers such as convolution and residual layers.
How do I initialize a convolution layer with data of a [h, w, in, out] form?
How do I manually implement a residual layer?
The text was updated successfully, but these errors were encountered: