Deep Learning CNN Convolutional Neural Networks with Python - DropOut, Early Stopping and Hyperparameters Quiz

The video tutorial discusses the concept of curves representing validation and training loss over time. It explains how these losses decrease as time progresses and highlights the importance of identifying the optimal point to stop training a model. This optimal point ensures the model is neither underfit nor overfit, achieving the best performance.

Describe the optimal point to stop training a model.

What does it mean for a model to be underfit or overfit?