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Deep learning on edge computing devicesdesign challenges of algorithm and architecture /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Deep learning on edge computing devicesXichuan Zhou [and three others].
其他題名:	design challenges of algorithm and architecture /
作者:	Zhou, Xichuan.
其他作者:	Liu, Haijun.
出版者:	Amsterdam ;Elsevier,2022.
面頁冊數:	1 online resource (ix, 188 p.) :ill.
標題:	Deep learning (Machine learning)
電子資源:	https://www.sciencedirect.com/science/book/9780323857833
ISBN:	9780323909273$q(ebook)

Deep learning on edge computing devicesdesign challenges of algorithm and architecture /
Zhou, Xichuan.

Deep learning on edge computing devicesdesign challenges of algorithm and architecture /[electronic resource] :Xichuan Zhou [and three others]. - Amsterdam ;Elsevier,2022. - 1 online resource (ix, 188 p.) :ill. - ITpro collection.

Includes bibliographical references and index.

Part 1. Introduction ; 1. Introduction; ; Part 2. Theory and Algorithm ; 2. Model Inference on Edge Device; 3. Model Training on Edge Device; 4. Network Encoding and Quantization; ; Part 3. Architecture Optimization ; 5. DANoC: AnAlgorithm and Hardware Codesign Prototype; 6. Ensemble Spiking Networks on Edge Device; 7. SenseCamera: A Learning Based Multifunctional Smart Camera Prototype

Deep Learning on Edge Computing Devices: Design Challenges of Algorithm and Architecture focuses on hardware architecture and embedded deep learning, including neural networks. --

ISBN: 9780323909273$q(ebook)Subjects--Topical Terms:

913129
Deep learning (Machine learning)
Index Terms--Genre/Form:

214472
Electronic books.

LC Class. No.: Q325.73 / .Z46 2022eb

Dewey Class. No.: 006.3/1

Deep learning on edge computing devicesdesign challenges of algorithm and architecture /
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