Calin, Ovidiu
Deep Learning Architectures: - A Mathematical Approach - (Springer Series in the - Data Sciences)
- ISBN 13:
- 9783030367237
- author:
- Calin, Ovidiu
- format:
- Paperback
- publisher:
- Springer
- language:
- English
- Publication Year:
- 2021
- Pages:
- 760
- Dimensions:
- 23.4 x 15.6 x 4 centimetres (1.0
- Genre:
- Professional & Vocational, Science, Mathematics,
- Condition:
- New
- Availability:
- Item usually sent within 5 working days
Description
Deep Learning Architectures: A Mathematical Approach by Ovidiu Calin provides a comprehensive understanding of neural networks from a mathematical perspective. This book bridges the gap between intuitive concepts and precise modern language, presenting best practices for robustness and elegance. Suitable for graduate courses in deep learning and machine learning researchers seeking theoretical insight, this book offers a unique approach to understanding neural networks as both function universal approximators and information processors. With accessible sections for senior undergraduates, it provides a valuable resource for those looking to deepen their knowledge of the subject.
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