Calculus, Backpropagation, Neural Networks, Mathematics, AI.
in as inputs every weight and bias. So, we can backpropagate through our network to find all the derivatives. Let’s return to our simple example to understand this more intuitively. We can rewrite the simple neural network as a series of scalar multiplications (since we aren’t dealing with vectors