Nets4Learning: A Web Platform for Designing and Testing ANN/DNN Models

Nowadays, any research discipline is interested in tackling its problems with artificial intelligence and, therefore, is demanding knowledge and frameworks with the aim of developing and using intelligent methods. Within this scenario, neural networks stand out for the important results they have achieved. This paper introduces Nets4Learning, a web platform for designing, training and testing artificial/deep neural network models. The application deals with some of the most popular tasks in the data science field such as tabular classification, regression, image classification and object detection. Nets4Learning has been designed so that any researcher from any discipline can easily develop neural network models without special programming or digital skills. In fact, the user does not have to install anything as the application is publicly available and can be accessed from any device. The site also has manuals, glossaries, etc., and all this code is available on GitHub.

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Publication Details

Journal
Electronics
Published
2024-11-08
DOI
https://doi.org/10.3390/electronics13224378
Citations
1
Primary Topic
Context-Aware Activity Recognition Systems
Type
article
Field-Weighted Citation Impact
0.25

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article

Nets4Learning: A Web Platform for Designing and Testing ANN/DNN Models

María Dolores Pérez-Godoy, Antonio J. Rivera, Pietro Ducange, M. Germán-Morales et al.
1 citations
Electronics
Context-Aware Activity Recognition Systems
0.25
article

Nets4Learning: A Web Platform for Designing and Testing ANN/DNN Models

María Dolores Pérez-Godoy, Antonio J. Rivera, Pietro Ducange, M. Germán-Morales, Antonio Mudarra, David Valdivia
article en
1 citations

Abstract

Nowadays, any research discipline is interested in tackling its problems with artificial intelligence and, therefore, is demanding knowledge and frameworks with the aim of developing and using intelligent methods. Within this scenario, neural networks stand out for the important results they have achieved. This paper introduces Nets4Learning, a web platform for designing, training and testing artificial/deep neural network models. The application deals with some of the most popular tasks in the data science field such as tabular classification, regression, image classification and object detection. Nets4Learning has been designed so that any researcher from any discipline can easily develop neural network models without special programming or digital skills. In fact, the user does not have to install anything as the application is publicly available and can be accessed from any device. The site also has manuals, glossaries, etc., and all this code is available on GitHub.

ElectronicsVol. 13(22)
University of Pisa (IT), Universidad de Jaén (ES)
Ministerio de Ciencia e Innovación
Openalex Percentile: Top 45%
Context-Aware Activity Recognition Systems
0.25
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