backward propagation

Backward Propagation is a fundamental algorithm used in training neural networks. It adjusts the weights to minimize the error between the actual output and the predicted output. Forward Propagation Before backward propagation, the network goes through the hidden layers, weighted sum is calculated at each layer and an activation function is applied to produce an … Read more