Understanding The Derivative Of The Sigmoid Function

The training phase of a neural network consists of two parts. Feedforward is the process where data flows through the neural network from the input node towards the output node. In other words, this is where the network is trying to make predictions. These predictions are then evaluated by comparing them to the the actual values. The error can be found as the difference between the two values.