Technology
Forward Propagation in a Multilayer Network
Forward propagation is the process by which a neural network turns its input into a prediction, one layer at a time. Each layer multiplies the input vector by a weight matrix, adds a bias and applies an activation function, so the output of one layer feeds the next until the final result appears at the end.