Dawani, Jay
Hands - On Mathematics for - Deep Learning: Build a - solid mathematical - foundation for training - efficient deep neural - networks
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- ISBN 13:
- 9781838647292
- author:
- Dawani, Jay
- format:
- Paperback
- publisher:
- Packt Publishing
- language:
- English
- Publication Year:
- 2020
- Pages:
- 364
- Dimensions:
- 23.5 x 19.1 x 1.9 centimetres (0
- Genre:
- Computers, Artificial Intelligence, Computers,
- Condition:
- New
- Availability:
- Item usually sent within 5 working days
Description
Build a solid mathematical foundation for training efficient deep neural networks with this comprehensive guide. This book covers essential topics in mathematics and modern computational techniques used to design and implement deep learning algorithms, including linear algebra, eigenvalues and eigenvectors, the singular value decomposition concept, and gradient algorithms. You'll learn how these concepts are applied to train deep neural networks. By the end of this book, you'll have a strong foundation in neural networks and DL mathematical concepts, which will help you confidently research and build custom models in deep learning.
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