Machine Learning, Linear Regression, Gradient Descent, Backpropagation.
differential of L w.r.t. b To get the gradient, we need to multiply the paths from L leading to b using chain rule: Eqn. 2.2.2B: Chain rule for partial differential of L w.r.t. b We would require the current batch values of x, y, ŷ and the partial differentials so let’s just place them below for