Artificial Intelligence Engines: A Tutorial Introduction to the Mathematics of Deep Learning

Artificial Intelligence Engines is an in-depth guide to the cutting-edge algorithms that are revolutionizing the field of artificial intelligence.

Written by an expert in the field, this book provides a comprehensive introduction to both historically important and modern deep neural networks, including perceptrons, Hopfield nets, Boltzmann machines, backpropagation networks, variational autoencoders, convolutional networks, generative adversarial networks, and reinforcement learning using SARSA and Q-learning.

With online computer programs and PowerPoint slides included, this book offers a unique hands-on learning experience.

Whether you're a student looking to gain a deeper understanding of AI or a professional seeking to stay ahead of the curve, Artificial Intelligence Engines is the perfect resource for anyone interested in the rapidly growing field of deep learning.