What are some effective techniques for training neural networks?

What are some effective techniques for training neural networks?

Some effective techniques include data augmentation, regularization, and using learning rate schedules.

Can you explain data augmentation and how it helps?

Data augmentation involves creating modified versions of training data to increase diversity, helping to prevent overfitting.

What is regularization and why is it important?

Regularization techniques, like L1 and L2, add a penalty to the loss function to reduce model complexity and improve generalization.

How do learning rate schedules work?

Learning rate schedules adjust the learning rate during training, allowing for faster convergence and better performance.