Deep Learning Networks
Design, Development and Deployment
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Beschreibung
This textbook presents multiple facets of design, development and deployment of deep learning networks for both students and industry practitioners. It introduces a deep learning tool set with deep learning concepts interwoven to enhance understanding. It also presents the design and technical aspects of programming along with a practical way to understand the relationships between programming and technology for a variety of applications. It offers a tutorial for the reader to learn wide-ranging conceptual modeling and programming tools that animate deep learning applications. The book is especially directed to students taking senior level undergraduate courses and to industry practitioners interested in learning about and applying deep learning methods to practical real-world problems. The unique features of this book are:
- Easy-to-understand description of the multiple facets of design, development and deployment of deep learning networks;
- Practical tools that facilitate understanding of underlying technology;
- Covers wide-ranging conceptual modeling and programming tools that animate deep learning applications.
This textbook presents multiple facets of design, development and deployment of deep learning networks for both students and industry practitioners. It introduces a deep learning tool set with deep learning concepts interwoven to enhance understanding. It also presents the design and technical aspects of programming along with a practical way to understand the relationships between programming and technology for a variety of applications. It offers a tutorial for the reader to learn wide-ranging conceptual modeling and programming tools that animate deep learning applications. The book is especially directed to students taking senior level undergraduate courses and to industry practitioners interested in learning about and applying deep learning methods to practical real-world problems.
Easy-to-understand description of the multiple facets of design, development and deployment of deep learning networks Practical tools that facilitate understanding of underlying technology Covers wide-ranging conceptual modeling and programming tools that animate deep learning applications
Autor*in
Jayakumar Singaram
Themen in »Deep Learning Networks«
Deep Learning Artificial Intelligence (AI) Machine Learning (ML) Data Labeling Deep Learning Applications Data-Set Design