Development of a recommender system for the selection and configuration of deep neural network models

Abstract

Development of a recommender system for the selection and configuration of deep neural network models

Yamashkin S.A., Yamashkina E.O.

Incoming article date: 05.11.2022

This paper describes the development of a recommender system for the selection and configuration of deep neural network models. Her key area of work is evaluating the effectiveness of a neural network for a particular type of problem. The recommender system designed within the framework of the repository allows for precise search, selection and flexible configuration of neural networks depending on specific project-oriented tasks.

Keywords: recommender system, machine learning, deep learning, neural network model, expert system, neural network, repository, spatial data, geographic information system, configuration, architecture