Proposal of software tools used for the creation of a convolutional neural network for image interpretation
In this work, a proposal for the use of specific tools for the creation of a CNN (Convolutional Neural Network) and the process in which the recognition of objects from an image bank can be achieved through a machine learning algorithm will be addressed. that includes pattern recognition to verify that it is possible to successfully achieve it with the implementation of a few simple steps and for free. It is necessary to establish some of the theories and concepts that lay the foundations for the creation of neural networks for image analysis, which represent one of the most complex forms of machine learning to detect specific patterns and demonstrate that the interpretation of objects can be achieved or signals contained in previously captured images without the need to be an expert in the topics of machine learning tools and algorithms, which would allow increasing the number of researchers interested in these processes.
Authors
- Fabián García-Carrillo (ORCID: https://orcid.org/0000-0002-7577-652X)
- José Martín Villalobos-Salmerón (ORCID: https://orcid.org/0000-0001-7753-2767)
- Marco Antonio Ordaz Celedón (ORCID: https://orcid.org/0000-0002-1191-3169)
Institutions
- Tecnológico Nacional de México (MX)
Publication Details
- Journal
- Revista del Diseño Innovativo
- Published
- 2024-12-03
- DOI
- https://doi.org/10.35429/jid.2024.8.18.1.8.
- Primary Topic
- Knowledge Societies in the 21st Century
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Tecnológico Nacional de México