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MLP Experiments

Looking into depth and width of networks in classification. Adding in CCU work taking from https://github.com/AlexMeinke/certified-certain-uncertainty, and incorporating quantization from torch.

Preview of CCU convergence during training and base classifier on the two moons data set

Multi Class Convergence

The Data Distributions

Standard MLP Base MLP Convergence

CCU with the base classifier condition next to it.

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Notebooks looking into convergence of classifiers varying network depth and width. Also exploring automating techniques to automate quantization of networks.

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