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Bayes by Backprop implemented in a CNN

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main_Bayes.py		main_Bayes.py

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Bayesian CNN

Implementation of Bayes by Backprop in a convolutional neural network.

One convolutional layer with distributions over weights in each filter

Fully Bayesian perspective of an entire CNN

Results

Results on MNIST and CIFAR-10 with LeNet-5 and 3Conv3FC, respectively

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