Predicting the Computational Cost of Deep Learning Models.
Daniel JustusJohn BrennanStephen BonnerAndrew Stephen McGoughPublished in: CoRR (2018)
Keyphrases
- learning models
- computational cost
- machine learning
- loss function
- learning algorithm
- learning tasks
- semi supervised learning
- machine learning algorithms
- learning problems
- conditional random fields
- learning paradigms
- machine learning models
- image processing
- bayesian networks
- learning environment
- supervised learning