Machine learning system and a method, a computer program and a device for creating the machine learning system

A machine learning system, comprising:

• a plurality of layers that are each connected at an input side to at least one further layer of the plurality of layers, each of the layers being configured to ascertain an output variable as a function of activations, each respective layer of the layers further configured to ascertain the activations as a function of at least one input variable of the respective layer and as a function of parameters that are assigned to the respective layer;
• wherein a resolution of the parameters or of the activations is a function of whether or not one of the layers is connected immediately at the input side to a plurality of preceding layers.

A method for creating a compressed machine learning system from a provided machine learning system, comprising the following steps:

• providing the machine learning system having a plurality of layers each having an input side;
• and
• selecting a resolution of parameters or activations of the compressed machine learning system by reducing a corresponding resolution of parameters or activations of the provided machine learning system, the resolution of the parameters or of the activations of the compressed machine learning system being selected as a function of whether or not one of the layers of the provided machine learning system is connected immediately at the input side to a multitude of the layers.

A non-transitory machine-readable storage medium on which is stored a computer program for creating a compressed machine learning system from a provided machine learning system, the computer program, when executed by a computer, causing the computer to perform the following steps:

• providing the machine learning system having a plurality of layers each having an input side;
• and
• selecting a resolution of parameters or activations of the compressed machine learning system by reducing a corresponding resolution of parameters or activations of the provided machine learning system, the resolution of the parameters or of the activations of the compressed machine learning system being selected as a function of whether or not one of the layers of the provided machine learning system is connected immediately at the input side to a multitude of the layers.

A device configured to create a compressed machine learning system from a provided machine learning system, the device configured to:

• provide the machine learning system having a plurality of layers each having an input side;
• and
• select a resolution of parameters or activations of the compressed machine learning system by reducing a corresponding resolution of parameters or activations of the provided machine learning system, the resolution of the parameters or of the activations of the compressed machine learning system being selected as a function of whether or not one of the layers of the provided machine learning system is connected immediately at the input side to a multitude of the layers.