We propose BayesCNN, a variant of CNN that uses probability distribution as weights instead of point estimates to state of the art . The paper can be found here : https://arxiv.org/abs/1806.05978

If you want to collaborate or check the , here is the GitHub : https://github.com/kumar-shridhar/PyTorch-BayesianCNN

There are several ways in which the results can be improved. But first, we are working on improving the time and applying the concept of BayesCNN to other complex architectures like ResNet or InceptionNet. Any comments, ideas or suggestions are welcome. Feel free to try it out and let us know your thoughts.

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