What are the best practices for training models in Keras?

What are the best practices for training models in Keras?

Some best practices include using callbacks, proper data preprocessing, and experimenting with different architectures.

Can you explain how to use callbacks effectively?

Sure! Callbacks like EarlyStopping and ModelCheckpoint can help prevent overfitting and save the best model during training.

What data preprocessing steps should I consider?

You should normalize your data, handle missing values, and consider data augmentation for image datasets.

How do I choose the right model architecture?

Start with a simple model and gradually increase complexity. Use techniques like cross-validation to evaluate performance.