Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
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Updated
Apr 19, 2024 - Python
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
Implementation of the MNIST experiment for Monte Carlo Dropout from http://mlg.eng.cam.ac.uk/yarin/PDFs/NIPS_2015_bayesian_convnets.pdf
This is an EEG Signals Classification based on Bayesian Convolutional Neural Network (Bayesian CNNs) via Variational Inference.
Super Resolution using Bayesian CNN
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