Predicting the Computational Cost of Deep Learning Models.
Daniel JustusJohn BrennanStephen BonnerAndrew Stephen McGoughPublished in: IEEE BigData (2018)
Keyphrases
- learning models
- computational cost
- machine learning
- learning tasks
- machine learning algorithms
- loss function
- learning algorithm
- classification models
- learning problems
- semi supervised learning
- conditional random fields
- learning paradigms
- feature selection
- machine learning models
- hidden markov models
- reinforcement learning
- training data
- sparse metric learning