Creating a Neural Network

This book is an introduction to the theory and practice of creating neural networks. It is intended for those who want to learn what neural networks are, where they are applied, and how to create such a network without having experience in this field. The author explains the theoretical aspects in a simple and understandable language, which are necessary for understanding the principles of how neural networks function and writing the corresponding software instructions. The material is presented with a detailed description of the step-by-step procedure for creating fully functional code that implements a neural network in Python and can even run on a miniature computer like the Raspberry Pi Zero. The main topics of the book include: - Neural networks and artificial intelligence systems; - Structure of neural networks; - Smoothing signals that propagate through the neural network using activation functions; - Training and testing neural networks; - Interactive programming environment IPython; - Using neural networks as object classifiers; - Pattern recognition using neural networks.