Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test ...

Overfitting When the uncertainty in predictions becomes less than the uncertainty in data, overfitting should be considered as a possibility. Overfitting is adjusting the model to fit the data exactly ...

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 ...