Handling overfitting in deep learning models -

overfitting Underfitting the training set is when the loss is not as low as it could be because the model hasn't learned enough signal Overfitting the training set is when

The overfitting phenomenon happens when a statistical machine learning model learns very well about the noise as well as the signal that is overfitting When an ML model aces the training data—spotting patterns and trends—but is unsuccessful when presented with new data, overfitting occurs, which