Machine Learning, Active Learning, Artificial Intelligence, Diversity, Pytorch.
When you are building a Supervised Machine Learning model, you want to make sure that it covers as diverse a set of data and real-world demographics as possible. The methods for ensuring that you have diverse training data for your model are a type of Active Learning called Diversity Sampling. The