Know what you predict: estimating uncertainty with neural networks

In most of the practical use cases, data scientists are satisfied by machine learning models that simply make predictions. Given unseen observations, a model performs the prediction of certain outcome . The performance of such a model is usually assessed by comparing the predicted value with the ground truth, whenever available. There is however, another measure that might be of interest: uncertainty. How uncertain is a model in predicting a particular sample?