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Can I read Development and Analysis of Deep Learning Architectures (Studies in Computational Intelligence (867)) on EtoBox?
Development and Analysis of Deep Learning Architectures (Studies in Computational Intelligence (867)) by Witold Pedrycz; Shyi-Ming Chen is a nonfiction available to read on EtoBox.
What is Development and Analysis of Deep Learning Architectures (Studies in Computational Intelligence (867)) about?
This book offers a timely reflection on the remarkable range of algorithms and applications that have made the area of deep learning so attractive and heavily researched today. Introducing the diversity of learning mechanisms in the environment of big data, and presenting authoritative studies in fields such as sensor design, health care, autonomous driving, industrial control and wireless communication, it enables readers to gain a practical understanding of design. The book also discusses systematic design procedures, optimization techniques, and validation processes. Erscheinungsdatum: 13.11.2019
Who reads Development and Analysis of Deep Learning Architectures (Studies in Computational Intelligence (867))?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Witold Pedrycz; Shyi-Ming Chen
- Publisher
- Springer International Publishing, Imprint Springer
- Published
- 2020
- Language
- EN
- ISBN
- 9783030317638
- Category
- nonfiction
- Subjects
- Computer Science, Engineering, Science