Loss Functions and Metrics in Deep Learning. A Review.
Juan R. TervenDiana Margarita Córdova EsparzaAlfonso Ramirez-PedrazaEdgar A. Chavez-UrbiolaPublished in: CoRR (2023)
Keyphrases
- loss function
- deep learning
- unsupervised learning
- pairwise
- support vector
- risk minimization
- loss minimization
- weakly supervised
- learning to rank
- evaluation metrics
- machine learning
- mental models
- convex loss functions
- reproducing kernel hilbert space
- precision and recall
- support vector machine
- pattern recognition
- markov random field
- supervised learning
- ranking models
- training data
- information retrieval