Stone, James V.
Artificial Intelligence Engines: A Tutorial Introduction to the Mathematics of Deep Learning
- ISBN 13:
- 9780956372819
- author:
- Stone, James V.
- format:
- Paperback
- publisher:
- Sebtel Press
- language:
- English
- Publication Year:
- 2019
- Pages:
- 218
- Dimensions:
- 22.9 x 15.2 x 1.2 centimetres (0
- Genre:
- Computers, Computer Science, General,
- Condition:
- New
- Availability:
- Item usually sent within 5 working days
Description
Artificial Intelligence Engines: A Tutorial Introduction to the Mathematics of Deep Learning by James V. Stone is an in-depth exploration of the algorithms that power modern artificial intelligence. This book delves into both historically significant and cutting-edge neural network learning techniques, providing a comprehensive understanding of how deep neural networks achieve super-human performance in various tasks. Through a combination of informal explanations and detailed mathematical analyses, this book covers topics such as perceptrons and generative adversarial networks. To further support learning, online computer programs are included, allowing readers to gain hands-on experience with neural networks. The book also features PowerPoint slides for teaching and a glossary, tutorial appendices, and list of further readings. Ideal for those looking to introduce themselves to the algorithmic engines of modern artificial intelligence, this book provides a richly illustrated introduction to the mathematics behind deep learning.
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