Nowadays for a lot of tasks, we are using deep neural networks or deep learning. While working with deep learning very often we face situations like overfitting and overconfidence. Overfitting is relatively well studied and can be tackled with several strategies like dropout, weight regularization, early stopping, etc. We have tools for tackling overconfidence...