Deep Learning on Edge Computing Devices: Design Challenges of Algorithm and Architecture (Paperback)

Part 1. Introduction
1. Introduction
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Part 2. Theory and Algorithm
2. Model Inference on Edge Device
3. Model Training on Edge Device
4. Network Encoding and Quantization
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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