Building Neural Networks with Python Code and Math in Detail -- II

After reading the first article, we saw that we had only 1 phase of execution there. In that phase, we find the updated weight values and rerun the code to achieve minimum error. However, things are a little spicy here. The execution in a multilayer neural network takes place in two-phase. In phase-1, we update the values of weight_output (weight values for output layer), and in phase-2, we update the value of weight_hidden ( weight values for the hidden layer).