Deep Learning Networks : Design, Development and Deployment

Singaram, Jayakumar/ Iyengar, S. S./ Madni, Azad M.

Springer International Publishing AG（2024/11発売）

• 製本 Paperback:紙装版/ペーパーバック版／ページ数 161 p.
• 言語 ENG
• 商品コード 9783031392467

Full Description

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. 

Contents

Introduction.- Deep Learning.- Brief survey on Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL).- Tool Set for Deep Learning Applications.- Data-Set Design and Data Labeling.- DL Model: Design and Development.- Training and Testing of DL Model.- Deploying DL in Jetson Nano.- Deploying DL in Android Phone.- Deploying DL in Ultra96-V2 Field Programmable Gate Array (FPGA).- Conclusion.