Loss Functions and Metrics in Deep Learning. A Review.

Juan R. Terven Diana Margarita Córdova Esparza Alfonso Ramirez-Pedraza Edgar A. Chavez-Urbiola

Published 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