A condition whereby an AI model is not generalized sufficiently for all uses. Although it does well on the training data, overfitting causes the model to perform poorly on new data. Overfitting can ...

Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test accuracy is very low, the model highly overfits the training dataset set ...