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2021 | OriginalPaper | Chapter

Deep Learning and Edge Computing Solution for High-Performance Computing

Authors : Vikram Rajpoot, Aditya Patel, Praveen Kumar Manepalli, Akash Saxena

Published in: Deep Learning and Edge Computing Solutions for High Performance Computing

Publisher: Springer International Publishing

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Abstract

Deep learning is a promising way to get relevant information from IoT service sensor data embedded in complex situations. Due to its multifaceted structure, deep learning is better suited to the nature of computer drag. So, in the course of this article, we start by introducing deep IoT metrics into the computer environment. Because there is a limited amount of available bandwidth, we are designing a separate load-filling strategy to optimize the performance of deep IoT learning systems using computers (World Health Organization Epilepsy, http://​www.​who.​int/​mediacentre/​factsheets/​fs999/​en/​)

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next chapter Artificial Intelligence in Healthcare Databases
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Metadata
Title
Deep Learning and Edge Computing Solution for High-Performance Computing
Authors
Vikram Rajpoot
Aditya Patel
Praveen Kumar Manepalli
Akash Saxena
Copyright Year
2021
Book
Deep Learning and Edge Computing Solutions for High Performance Computing

Print ISBN: 978-3-030-60264-2

Electronic ISBN: 978-3-030-60265-9

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-3-030-60265-9_1