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Deep Learning Networks : Design, Development and Deployment / / by Jayakumar Singaram, S. S. Iyengar, Azad M. Madni



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Autore: Singaram Jayakumar Visualizza persona
Titolo: Deep Learning Networks : Design, Development and Deployment / / by Jayakumar Singaram, S. S. Iyengar, Azad M. Madni Visualizza cluster
Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Edizione: 1st ed. 2024.
Descrizione fisica: 1 online resource (173 pages)
Disciplina: 621.382
Soggetto topico: Telecommunication
Machine learning
Computational intelligence
Pattern recognition systems
Communications Engineering, Networks
Machine Learning
Computational Intelligence
Automated Pattern Recognition
Altri autori: IyengarS. S  
MadniAzad M  
Nota di contenuto: 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.
Sommario/riassunto: 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.
Titolo autorizzato: Deep Learning Networks  Visualizza cluster
ISBN: 3-031-39244-2
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910760290003321
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