Method for an Automated Search for at Least One Suitable Network Architecture for a Machine Learning Application

A data processing apparatus comprising:

• one or more processors;
• and
• a computer program comprising instructions stored on a non-transitory computer-readable storage medium, the instructions which when executed by the one or more processors cause the one or more processors to:
• define a population of architecture proposals for the network architecture,
• determine at least one characteristic feature for at least a part of the architecture proposals, wherein the at least one characteristic feature is specific for the performance of the architecture proposals,
• select at least one architecture proposal from the architecture proposals based on the defined population and the determined at least one characteristic feature,
• evaluate the performance of the at least one selected architecture proposal based on a training of the at least one selected architecture proposal,
• determine the at least one suitable network architecture based on the evaluation.

A non-transitory computer-readable storage medium, comprising instructions which, when executed by at least one computer, cause the computer to:

• define a population of architecture proposals for the network architecture,
• determine at least one characteristic feature for at least a part of the architecture proposals, wherein the at least one characteristic feature is specific for the performance of the architecture proposals,
• select at least one architecture proposal from the architecture proposals based on the defined population and the determined at least one characteristic feature,
• evaluate the performance of the at least one selected architecture proposal based on a training of the at least one selected architecture proposal,
• determine the at least one suitable network architecture based on the evaluation.