What are some effective techniques for optimizing AI training?

What are some effective techniques for optimizing AI training?

Some effective techniques include data augmentation, hyperparameter tuning, and using transfer learning.

Can you explain data augmentation and how it helps?

Data augmentation involves creating variations of your training data to improve model robustness and prevent overfitting.

What is hyperparameter tuning?

Hyperparameter tuning is the process of optimizing the parameters that govern the training process, like learning rate and batch size.

How does transfer learning work?

Transfer learning allows you to leverage a pre-trained model on a similar task, reducing training time and improving performance.