When I use the hardcoded LeNet structure and train it with the provided config (lenet_bjorck) file I am not achieving the Lipschitz Constant of 1 even after orthonomal finetuning (some of the singular values are a little over 1).
Should I do anything different?
When I try to use the fully_convolutional_2d architecture, what should the
"l_correction_constant" be to calculate the "l_constant_per_layer"?
When I use the hardcoded LeNet structure and train it with the provided config (lenet_bjorck) file I am not achieving the Lipschitz Constant of 1 even after orthonomal finetuning (some of the singular values are a little over 1).
Should I do anything different?
When I try to use the fully_convolutional_2d architecture, what should the
"l_correction_constant" be to calculate the "l_constant_per_layer"?