👉 Dansker is a term in the context of computer science, specifically related to the field of machine learning. It refers to a type of model that can be trained with input data and output data without explicitly specifying the relationship between them. This means that the model can learn from both inputs and outputs independently, making it more flexible than traditional supervised learning models. Dansker is often used in the context of deep learning, where the model learns how to make predictions on unseen data by using a combination of input
