Machine Learning, Neural Networks, Backpropagation, Gradient Descent.
to know the dE /dWij for every Wij in the network. For this, we also need to, find the dE/dXi and dE/dYi for every node in the network. Forward Propagation We know the Neural network is said to use Forward Propagation. It is because the input to a node in layer k is dependent on the output of a