Propagation: Forward and Backward
Every Neural Network has 2 main parts Forward Propagation Backward Propagation In this release, let’s take a deep dive into both these parts. Forward Propagation This refers to the calculation and storage of variables going from the input layer to the output layer. Here the data flow via the hidden layers in the forward direction….