Method and Device for Operating a Machine Learning Model

A device for operating a machine learning model, comprising:

• a computer having a memory in which the machine learning model is formed;
• wherein the computer is configured to carry out the following steps during a training phase:
• receiving tagged multidimensional training data;
• selecting subsets from the received training data;
• generating a training data set, wherein the training data set includes data set elements which are generated on the basis of the selected subsets;
• training the machine learning model using the training data set,
• and/or conducting the following steps during an inference phase:
• receiving sensor data of at least one sensor;
• selecting subsets from the received sensor data;
• generating a data stack, wherein the data stack comprises the respective selected subsets as stack elements;
• applying the machine learning model trained according to the steps of the training phase to every stack element of the data stack, wherein the application occurs simultaneously, and deducing an inference result;
• and
• outputting the inference result.