Neural Networks

This book is a comprehensive and sophisticated exploration of neural networks, encompassing their structure, engineering, theories, and potential. It delves into the advanced mathematics and sciences that form the foundation of these networks and those that could shape their future. The book explains how neural networks can be constructed and how they are capable of solving a wide range of complex scientific and mathematical problems.
The author builds upon his previous book, Artificial Intelligence, and takes a deep dive into the challenges and abstract potentials of neural networks. This book is designed to provide readers with an in-depth understanding of the underlying principles of neural networks, including the intricate mathematics and scientific concepts that inform their design and functionality.
This book is not meant to demonstrate modern application of neural networks, it is a compilation of rigorous and thorough analysis and theories of neural networks and artificial intelligence and is sure to inspire further research and innovation in this exciting and rapidly evolving field.