The conversation between human and AI assistant.
What is meant by overfitting?
And what is regularization?
Regularization is a technique where we add a penalty term to the loss function of our model during training. This penalty encourages our model to have smaller weights, which helps to prevent overfitting by reducing the complexity and flexibility of the model.