Device and Computer Implemented Method for Machine Learning

Abstract
A device and computer implemented method for machine learning. The method includes providing embeddings that are associated with objects, providing a token that represents a part of a digital image that depicts at least a part of an object, wherein the token represents the part with a lower resolution than a resolution of the pixel of the part, selecting with a model an embedding of the embeddings to represent the token in a representation of the digital image, determining with the model a reconstruction of the token that represents the object depending on the representation of the digital image, and determining a parameter that defines at least one of the embeddings and/or a parameter that defines the model depending on a difference between the token and the reconstruction of the token.