How can I improve the robustness of my AI model?

How can I improve the robustness of my AI model?

To improve your AI model's robustness, consider techniques like data augmentation, adversarial training, and regularization.

What is data augmentation and how does it help?

Data augmentation involves creating variations of your training data to increase diversity, helping the model generalize better.

Can you explain adversarial training?

Adversarial training involves training your model on adversarial examples to make it more resilient to unexpected inputs.

What role does regularization play in model robustness?

Regularization helps prevent overfitting by adding a penalty for complex models, leading to better generalization on unseen data.