Enabling high performance deep learning networks on embedded systems.
Qian LiQingcheng XiaoYun LiangPublished in: IECON (2017)
Keyphrases
- embedded systems
- deep learning
- low cost
- unsupervised learning
- embedded software
- computing power
- embedded devices
- real time systems
- resource limited
- unsupervised feature learning
- machine learning
- weakly supervised
- field programmable gate array
- software systems
- image processing
- deep architectures
- mental models
- high level
- computer vision
- artificial intelligence