Calculus, Backpropagation, Neural Networks, Mathematics, AI.
network. Just to keep track of what derivatives we’ve calculated so far: As we continue down the line, we find that up next we’re passing through our second activation function, with ∂ a2 / ∂ z2. Technically, this would be the ReLU function, as sigmoid is generally only used for the final layer,