Applied Deep Learning: Tools, Techniques, and Implementation

Fergus, Paul (Author)/ Chalmers, Carl (Author)

ISBN 10: 3031044193 / ISBN 13: 9783031044199

Published by Springer, 2022

About this Item

368 pages. 9.25x6.10x0.88 inches. In Stock. This item is printed on demand.

Seller Inventory # __3031044193

Bibliographic Details

• Title: Applied Deep Learning: Tools, Techniques, and Implementation
• Publisher: Springer
• Publication Date: 2022
• Language: English
• ISBN 10: 3031044193
• ISBN 13: 9783031044199
• Binding: Hardcover
• Condition: Brand New
• Weight: 0.72 kilograms

About this title

Synopsis

This book focuses on the applied aspects of artificial intelligence using enterprise frameworks and technologies. The book is applied in nature and will equip the reader with the necessary skills and understanding for delivering enterprise ML technologies. It will be valuable for undergraduate and postgraduate students in subjects such as artificial intelligence and data science, and also for industrial practitioners engaged with data analytics and machine learning tasks. The book covers all of the key conceptual aspects of the field and provides a foundation for all interested parties to develop their own artificial intelligence applications.

About the Author

Prof. Paul Fergus is a Professor in Machine Learning and Dr. Carl Chambers is a Senior Lecturer in the Dept. of Computer Science of Liverpool John Moores University. Their teaching responsibilities include Machine Learning and Data Science. Their research interest includes Applied Machine Learning, Computer Vision, Signal Processing, and Pattern Recognition.