Policy Gradients in a Nutshell

Everything you need to know to get started with Policy Gradient Algorithms for Reinforcement Learning

When Does Stochastic Gradient Algorithm Work Well?

A summary of recent work on theoretical bounds for SGD

The beauty of Bayesian Learning

Understanding and visualizing Bayesian concepts

PyTorch Data Loaders are abstraction done right!

A quick introduction to writing your first data loader in PyTorch

Visualizing the Confusion Matrix

Summary of terminologies in Confusion Matrix

The magic of Automatic Differentiation

Learn how to 'mathemagically' compute derivates in Machine Learning

An Introduction to Epipolar Geometry

Understanding the intuition behind 3D to 2D mappings, the Fundamental Matrix with a demo