Calculus, Backpropagation, Neural Networks, Mathematics, AI.
about the above super-function). In between, we have many smaller functions. If we think back to forward propagation, we are essentially calculating a string of composite functions — composing z’s and g’s inside of each other. Each layer of the neural network depends on the outputs of the last.