Moreover, knowing uncertainty is important for fundamental machine learning research [19]; for example, many reinforcement learning algorithms (such as Thompson sampling [40]) requires estimating uncertainty of the distribution [39].
there has not been any well-established, effective and efficient method to assess prediction uncertainty of deep learning models.