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License: MIT License
Optimizing neural networks via an inverse scale space flow.
License: MIT License
In the eighth cell "Optimizer",
opt = op.AdamBreg([{'params': weights_linear
The class name "AdamBreg" should be "AdaBreg", according to the definition in optimizers.py
The ResNet class is missing the mean, std option
The run specification in block [11] should be checked. Furthermore, output shouldn't contain accuracies for a denoising task.
A notebook to compare SGD, ProxGD, and the Bregman framework.
Some of the models are copied from other repos. Reference them!!!
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