Want to fathom the inner workings of Neural Networks

Hi folks,

Trying to understand how stuff works in depth. Want to learn the math behind Neural Networks!

Jacobians, backpropagation, Loss function, Activation functions etc.

For this I started a subreddit where anyone can freely post (especially enthusiasts and beginners like me)

If anyone is just like me, let’s do this together! Post your learnings in r/NeuralMath

Let’s learn together