Teaching Neural Network Programming

In This Book We Briefly Address The Theoretical Foundation Of Neural Networks, From The Basic Principles Of How A Neuron Works And Its Similarity With The Biological Part, In Which We Explain Its Axons (inputs), The Weights Of The Inputs, The Bias, The Neuron Body, The Activation Function And The Axon Output Function. Subsequently, The Architecture Of A Multilayer Neural Network, The Learning Process Of The Neural Network Through The Functions Of Backpropagation And Feedforward Propagation Are Described. Finally, The Book Proceeds To Train A Neural Network From Scratch, With The Aim Of Teaching The Reader In A Simple Way How To Design A Neural Network And The Processes Involved In Learning It.