Kamath, Uday
Transformers for Machine Learning: A Deep Dive (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
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- ISBN 13:
- 9780367767341
- author:
- Kamath, Uday
- format:
- Paperback / softback
- publisher:
- CRC Press
- language:
- English
- Publication Year:
- 2022
- Pages:
- 257
- Dimensions:
- 23.4 x 15.6 centimetres (0.53 kg
- Genre:
- Computers, Computer Science, Computers,
- Condition:
- New
- Availability:
- Item usually sent within 10 working days
Description
Transformers for Machine Learning: A Deep Dive is a comprehensive reference book that provides detailed explanations of every algorithm and technique related to transformers. With over 60 transformer architectures covered, this book offers a single entry point with deep discussions of the quickly moving field.
This book appeals to both postgraduate students and researchers, as well as practitioners and professionals, by providing theoretical explanations of state-of-the-art transformer architectures. It also includes practical hands-on case studies and code snippets that allow for quick experimentation and analysis using tools and libraries such as Google Colab.
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