How can I improve the performance of pretrained models?

How can I improve the performance of pretrained models?

You can improve pretrained models by fine-tuning them on your specific dataset, adjusting hyperparameters, or using data augmentation.

What is fine-tuning and how does it work?

Fine-tuning involves training a pretrained model on a new dataset for a few epochs, allowing it to adapt to the specific features of your data.

Are there specific techniques for data augmentation?

Yes, techniques include rotation, scaling, flipping images, or adding noise to the data to create more diverse training samples.

How do I choose the right hyperparameters?

You can use techniques like grid search or random search to find the optimal hyperparameters, or use tools like Optuna for automated tuning.