Chaudhury, Krishnendu
Math and Architectures of Deep Learning
- ISBN 13:
- 9781617296482
- author:
- Chaudhury, Krishnendu
- format:
- Paperback
- publisher:
- Manning Publications
- language:
- English
- Publication Year:
- 2021
- Pages:
- 535
- Dimensions:
- 23.5 x 18.8 x 2.9 centimetres (1
- Genre:
- Computers
- Condition:
- New
- Availability:
- Item usually sent within 2 working days
Description
Get inside the 'black box' of deep learning with this comprehensive guide. Math and Architectures of Deep Learning reveals the mathematical and architectural concepts behind deep learning models, so you can customize, maintain, and explain them more effectively.
This book bridges the gap between theory and practice, laying out the math of deep learning side by side with practical implementations in Python and PyTorch. You'll learn how to choose the right model, train it, preprocess your data, evaluate performance and accuracy, and deal with uncertainty and variability in the outputs of a deployed solution.
Written for engineers who want to understand how their code works, this book provides working code samples in downloadable Jupyter notebooks, as well as a foreword by Prith Banerjee. A free eBook in PDF, Kindle, and ePub formats is included with your purchase from Manning Publications.
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