What are Query, Key, and Value in the Transformer Architecture and Why Are They Used?
An analysis of the intuition behind the notion of Key, Query, and Value in Transformer architecture and why is it used.
Graph Attention Networks Paper Explained With Illustration and PyTorch Implementation
A detailed and illustrated walkthrough of the “Graph Attention Networks” paper by Veličković et al. with the PyTorch implementation of the proposed model.
Policy Gradient Algorithm’s Mathematics Explained with PyTorch Implementation
A step-by-step explanation of the vanilla policy gradient algorithm and its implementation.
Resources to Learn Reinforcement Learning
Some of the best (mostly free) tutorials, courses, books, and more on this ever-evolving field
