sushantc

Thanks apetrov - checking out these posts!

Thanks partycoder! Points taken; will make some changes.

Regarding numerical gradients, named it so to differentiate it from analytical gradients, which leverage formulas from calculus. The "numerical" ones are calculated using (f(x+h)-f(x))/h every time.

Intuitive explanation of backpropagation from first principles with a simple python implementation