Artificial Neural Networks - A Beginner's Guide provides a detailed look at the inner workings of deep neural networks, additional classes of neural networks, and optimization techniques through rigorous mathematical analysis and implementation examples in Python. This book is appropriate for those wanting to know the "how and why" behind neural networks and those interested in learning how to implement a fully functional, from-scratch deep neural network framework.
