Techniques for Improving Model Performance

In the preceding chapters, we trained and evaluated models with default parameters and had no attempt to improve their performance. In this chapter, we examine various techniques to improve the performance of deep learning models. Achieving a model that generalizes well to unseen data is a critical goal in machine learning. Overfitting, a common issue, occurs when a model performs well on training data but poorly on validation or test datasets.