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Deep Learning Networks Design, Development and Deployment /

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 aspec...

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Váldodahkkit: Singaram, Jayakumar (Dahkki), Iyengar, S. S. (Dahkki), Madni, Azad M. (Dahkki)
Searvvušdahkki: SpringerLink (Online service)
Materiálatiipa: Elektrovnnalaš E-girji
Giella:eaŋgalasgiella
Almmustuhtton: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Preanttus:1st ed. 2024.
Fáttát:
Telecommunication.
Machine learning.
Computational intelligence.
Pattern recognition systems.
Communications Engineering, Networks.
Machine Learning.
Computational Intelligence.
Automated Pattern Recognition.
Liŋkkat:https://doi.org/10.1007/978-3-031-39244-3
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Sisdoallologahallan:
  • 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.

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