feed-forward neural networks summary the content in this about feed-forward neural networks will serve as the conceptual foundation for the remainder of the book the key concepts we covered were the overall structure of the neural networkthe inputhiddenand output layersand cost functions and their basis on the principle of maximum likelihood we also explored pytorch as means for practically implementing neural network in the last exercisewe experimented with training the network with various optimizers over toy dataset in order to study how the losses reduced over epochs in the next we will explore automatic differentiation in deep learning