Adaptive Selection of Deep Learning Models on Embedded Systems.
Ben TaylorVicent Sanz MarcoWilly WolffYehia ElkhatibZheng WangPublished in: CoRR (2018)
Keyphrases
- embedded systems
- learning models
- low cost
- embedded devices
- learning algorithm
- machine learning
- computing power
- resource limited
- semi supervised learning
- loss function
- embedded software
- real time systems
- learning tasks
- machine learning algorithms
- conditional random fields
- data sets
- software systems
- classification models
- learning problems
- field programmable gate array
- supervised learning
- bayesian networks
- recommender systems
- hidden markov models
- generative model
- open source