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Can I read Deep Learning on Edge Computing Devices : Design Challenges of Algorithm and Architecture on EtoBox?
Deep Learning on Edge Computing Devices : Design Challenges of Algorithm and Architecture by Xichuan Zhou, Haijun Liu, Cong Shi, Ji Liu is a computer science book available to read on EtoBox.
What is Deep Learning on Edge Computing Devices : Design Challenges of Algorithm and Architecture about?
<i>Deep Learning on Edge Computing Devices: Design Challenges of Algorithm and Architecture</i> focuses on hardware architecture and embedded deep learning, including neural networks. The title helps researchers maximize the performance of Edge-deep learning models for mobile computing and other applications by presenting neural network algorithms and hardware design optimization approaches for Edge-deep learning. Applications are introduced in each section, and a comprehensive example, smart su
Who reads Deep Learning on Edge Computing Devices : Design Challenges of Algorithm and Architecture?
It is typically read by working professionals who need an authoritative practice reference.
Common subject areas: medicine, law, business, engineering.
- Author
- Xichuan Zhou, Haijun Liu, Cong Shi, Ji Liu
- Publisher
- Elsevier - Health Sciences Division
- Published
- 2022
- Language
- EN
- ISBN
- 9780323909273
- Category
- computer science
- Subjects
- Science, Computer Science, Stem
- Updated
- 2026-03-25
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