Semi-Supervised Learning
AI/ML Fundamentals
Learning from small labeled and large unlabeled datasets
What is Semi-Supervised Learning?
Combines supervised and unsupervised techniques to leverage unlabeled data and reduce labeling costs.
Real-World Examples
- •Pseudo-labeling, consistency regularization
Related Terms
Learn more about concepts related to Semi-Supervised Learning