This is the third post in my journey of Geometric Deep Learning (GDL). Please read the previous posts to gain a comprehensive understanding of GDL. Also, please note that as I am still in the nascent stages, it is only natural to make mistakes. If you spot one, please bring it to my notice. Constructive criticism is always welcome. Let’s get started!

Bronstein et al. first introduced the term Geometric Deep Learning (GDL) in their 2017 article — “Geometric Deep Learning: Going beyond Euclidean data”. The article defines GDL as — “an umbrella term for emerging techniques attempting to generalize…


Majority of the action games out there provide a game-play which requires the gamer to engage in combat and cause high chaos in order to make in-game progress or win a given multi-player combat match. This is the reason why games like Counter-Strike: Global Offensive and PlayerUnknown’s Battlegrounds have become so popular.

What if you had to choose between high chaos (violence) and low chaos (stealth) game-play?

Dishonored is an action-adventure game which offers the player a choice to either wreak havoc (high chaos) or ghost (low chaos) through the story set in the plague ridden City of Dunwall. Supernatural…


This is the second post in my journey of Geometric Deep Learning (GDL). Please read the first post to gain a comprehensive understanding of GDL. Also, please note that as I am still in the nascent stages, it is only natural to make mistakes. If you spot one, please bring it to my notice. Constructive criticism is always welcome. Let’s get started!

Machine Learning: A brief Overview

Machine Learning (ML) uses algorithms to analyze data. ML learns from this data and makes informed decisions. It consists of a collection of mathematical methods of pattern recognition which get better at decision…


This is the first post in my journey of Geometric Deep Learning (GDL). The order and content of posts reflect my method of learning the fundamentals of GDL. Also, please note that as I am still in the nascent stages, it is only natural to make mistakes. If you spot one, please bring it to my notice. Constructive criticism is always welcome. Let’s get started!

The action of thinking about something in a logical, sensible way is called “Reasoning.” There are two broad categories of reasoning:

  • Deductive reasoning
  • Inductive reasoning

Deductive reasoning is where we deduce a conclusion from a…


Born in Indore and reared in Bengaluru — Rahul Dravid, a name known and cherished by almost every Indian Cricket fan (and a lot of others too!), is a symbolic representation of values and morals which seem to be lost in this modern era. During his magnificent yet overshadowed career, he taught some indispensable things to me.

Perseverance

In his Test Cricket’s career of almost 16 years which were spread across 286 innings, he faced a colossal 31,258 number of deliveries and spent nearly 46,000 minutes at the crease. By doing so, he personified perseverance in the best possible way. When…

Prabhat

math and computers. master’s student @TUMünchen . he/him. 77+33=100. LinkedIn: https://www.linkedin.com/in/prabhat-reddy/

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