Kaggle #1 Winning Approach for Image Classification Challenge

Bayesian Neural Network Series Post 1: Need for Bayesian Neural Networks

Bayesian Neural Network Series Post 2: Background Knowledge

Probabilistic Deep Learning: Bayes by Backprop

Having understood all the fundamentals, we can now proceed and apply them to…

Bayesian Convolutional Neural Networks with Bayes by Backprop

Inference in Probabilistic Models: Monte Carlo and variational methods

Graphs Neural Networks in NLP

Capturing the beautiful semantic, syntactic, temporal and relational…

How Bayesian methods embody Occam’s razor

Some of you might have heard the term Occam’s razor, sometimes spelled Ockham’s razor…

Reflections on Bayesian Inference in Probabilistic Deep Learning

Low-resource language: what does it mean?

To build Natural Language Processing (NLP) solutions for any language, the most vital…