Two Simple Ways To Measure Your Model’s Uncertainty

The key to better understanding your model’s predictions

In this article, we will go over 2 methods that allow you to obtain your model’s uncertainty: Monte Carlo Dropout and Deep Ensembles. They are applicable for a wide variety of tasks, but in this article, we will show an example for image classification. Both of them are relatively easy to understand and implement, both can easy be applied to any existing convolutional neural network architecture (e.g. ResNet, VGG, RegNet, etc.). To help you with your…