Bayesian Neural Network Series Post 1: Need for Bayesian Neural Networks
Published in
7 min readJan 2, 2019
This post is the first post in an eight-post series of Bayesian Convolutional Networks. The posts will be structured as follows:
- Need for Bayesian Neural Networks
- Background knowledge needed to understand Bayesian Neural Networks better
- Some recent work in the field of Bayesian Neural Networks
- Bayesian Convolutional Neural Networks using Variational Inference
- Build your own Bayesian Convolutional Neural Network in PyTorch
- Uncertainty estimation in a Bayesian Neural Networks
- Model Pruning in a Bayesian Neural Network
- Applications in other areas (Super Resolution, GANs and so on..)
The blogs will be released every month starting first-week January 2020. Stay tuned! Also, feel free to check the post on ‘Why the World needs a Bayesian perspective’.
Let’s start this series by understanding the need for Bayesian Neural Networks in this blog.