Avoid Overfitting by Visualizing Model Performance

Join Jonathan Barrios as we learn how to recognize and fix a common problem in computer vision where a model performs well on training data but poorly on unseen data – overfitting. We'll practice the solution: creating models that can generalize well to new data.