What are the best practices for training AI models?

What are the best practices for training AI models?

Some best practices include data preprocessing, choosing the right model architecture, and regularization techniques.

Can you explain why data preprocessing is important?

Data preprocessing helps improve model accuracy by cleaning and transforming raw data into a suitable format.

What model architectures are commonly used?

Common architectures include Convolutional Neural Networks (CNNs) for image data and Recurrent Neural Networks (RNNs) for sequential data.

How do I know if my model is overfitting?

You can check for overfitting by comparing training and validation loss; if training loss decreases while validation loss increases, it's a sign.