modellrepräsentation
Modellrepräsentation refers to the way a model is stored and presented. In computing, this can encompass various formats, from simple text files to complex binary structures. The choice of representation depends heavily on the model's purpose and the system it will be used in. For instance, a mathematical model might be represented as a set of equations, while a physical model could be a 3D mesh. In machine learning, model representation often involves the parameters and architecture of a trained neural network or other algorithm.
Different representation methods have distinct advantages and disadvantages. Some are human-readable and easily editable, making them