Training & Optimization
Mixup
Data augmentation creating synthetic examples by interpolating between training examples and their labels.
This concept is essential for understanding training & optimization and forms a key part of modern AI systems.
Related Concepts
- Data Augmentation
- Regularization
- Training
Tags
training-optimization data-augmentation regularization training
Related Terms
Data Augmentation
Creating variations of training data through transformations (rotation, cropping, noise) to improve model generalization.
Regularization
Techniques to prevent overfitting by adding constraints or penalties to the model (L1, L2, dropout, early stopping).
Training
The process of teaching a machine learning model by adjusting its parameters based on data to minimize prediction errors.