I think this is because at it's core, the math behind deep learning is pretty simple and there's not much of it. Linear algebra, some simple activation function

I think this is because at it's core, the math behind deep learning is pretty simple and there's not much of it. Linear algebra, some simple activation functions and gradient descent. Implementing a net from scratch in python is pretty concise. The simplicity-to-effectiveness ratio is what I find so interesting about deep learning.