On Determining Suitable Embedded Devices for Deep Learning Models.
Daniel PadillaHatem A. RashwanDomenec PuigPublished in: CCIA (2021)
Keyphrases
- learning models
- embedded devices
- machine learning
- semi supervised learning
- loss function
- learning tasks
- embedded systems
- learning algorithm
- conditional random fields
- machine learning algorithms
- mobile devices
- limited memory
- learning problems
- classification models
- database
- graphical models
- supervised learning
- hidden markov models
- pairwise
- bayesian networks
- decision trees
- data sets
- real time