Deep Learning Networks: Design, Development and Deployment [Hardcover]

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. 

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.

Dr. Jayakumar Singaram is a veteran in semiconductor electronics, and a Strategic consultant to companies, such as Mistral Solutions, Bangalore, Bilva infra, Bangalore, SunPlus Software, Bangalore, and Apollo Tyre's, Chennai, among others. He drives deployment ready solutions using AI in IoT Edge/Node. He began his career working in Hindustan Aeronautics Bangalore, followed by Cranes InfoTech and Mistral Solution before launching a start-up world by steering brands like Epigon Media Technologies, Rinanu Semiconductor, and many more. He had been one of the core team members and also led the design and development of `Networked Karaoke Machine'' (which enabled TAITO Corp. Japan to become No. 2 inlã)