This characteristic makes it a useful problem for demonstrating the power of neural networks, particularly to illustrate the capability of multi-layer architectures. In summary, the output plot visually shows how the neural network’s mean squared error changes as it learns and updates its weights through each epoch. This visualization helps you understand how well the network is adapting and improving its predictions during training. What […]