What are some effective AI generalization techniques?

What are some effective AI generalization techniques?

Effective AI generalization techniques include regularization, data augmentation, and transfer learning.

Can you explain how regularization works?

Regularization helps prevent overfitting by adding a penalty for larger weights in the model, promoting simpler models.

What is data augmentation?

Data augmentation involves creating modified versions of training data to improve model robustness and performance.

How does transfer learning benefit AI models?

Transfer learning allows models to leverage knowledge from pre-trained models, reducing training time and improving accuracy.