Deep learning on edge computing devices : design challenges of algorithm and architecture /

Détails bibliographiques
Cote:Libro Electrónico
Auteurs principaux: Zhou, Xichuan (Auteur), Liu, Haijun (Auteur), Shi, Cong (Auteur), Liu, Ji (Auteur)
Format: Électronique eBook
Langue:Inglés
Publié: Amsterdam ; Cambridge, MA : Elsevier, [2022]
Sujets:
Deep learning (Machine learning)
Edge computing.
Apprentissage profond.
Edge computing
Accès en ligne:Texto completo
Table des matières:
  • 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: An Algorithm and Hardware Codesign Prototype; 6. Ensemble Spiking Networks on Edge Device; 7. SenseCamera: A Learning Based Multifunctional Smart Camera Prototype

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