How can I improve my model's performance?

How can I improve my model's performance?

There are several strategies you can use, such as tuning hyperparameters, increasing training data, or using a different model architecture.

What are hyperparameters, and how do I tune them?

Hyperparameters are settings that you configure before training your model, like learning rate and batch size. You can tune them using techniques like grid search or random search.

How can I increase my training data?

You can increase your training data by collecting more samples, using data augmentation techniques, or leveraging transfer learning.

What if my model is overfitting?

If your model is overfitting, consider using regularization techniques, reducing model complexity, or increasing your training dataset.