03717nam a22005655i 4500 978-3-031-39244-3 DE-He213 20251030110828.0 cr nn 008mamaa 231101s2024 sz | s |||| 0|eng d 9783031392443 978-3-031-39244-3 10.1007/978-3-031-39244-3 doi TK5101-5105.9 TJK bicssc TEC041000 bisacsh TJK thema Singaram, Jayakumar. author. aut http://id.loc.gov/vocabulary/relators/aut 66915 Deep Learning Networks [electronic resource] : Design, Development and Deployment / by Jayakumar Singaram, S. S. Iyengar, Azad M. Madni. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XXIII, 161 p. 71 illus., 70 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda 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. 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. Telecommunication. Machine learning. 55059 Computational intelligence. 64052 Pattern recognition systems. 65547 Communications Engineering, Networks. Machine Learning. 55059 Computational Intelligence. 64052 Automated Pattern Recognition. 65551 Iyengar, S. S. author. aut http://id.loc.gov/vocabulary/relators/aut 66916 Madni, Azad M. author. aut http://id.loc.gov/vocabulary/relators/aut 66917 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031392436 Printed edition: 9783031392450 Printed edition: 9783031392467 https://doi.org/10.1007/978-3-031-39244-3 ZDB-2-ENG ZDB-2-SXE 56482 56482