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 given set of facts. For example, given two facts — “All fruits are good for health” and “Apple is a fruit”, we can easily conclude that “Apple is good for health.” Deductive inferences are possibly the best we can make, which are provably correct.

#inductive-reasoning #deductive-reasoning #geometric-deep-learning #machine-learning #inductive-bias