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.

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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

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article

Proposal of software tools used for the creation of a convolutional neural network for image interpretation

Fabián García-Carrillo, José Martín Villalobos-Salmerón, Marco Antonio Ordaz Celedón
Revista del Diseño Innovativo
Knowledge Societies in the 21st Century
article

Proposal of software tools used for the creation of a convolutional neural network for image interpretation

Fabián García-Carrillo, José Martín Villalobos-Salmerón, Marco Antonio Ordaz Celedón
article en

Abstract

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.

Revista del Diseño Innovativo
Tecnológico Nacional de México (MX)
Tecnológico Nacional de México
Openalex Percentile: Top 50%
Knowledge Societies in the 21st Century
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Proposal of software tools used for the creation of a convolutional neural network for image interpretation — Fabián García-Carrillo, José Martín Villalobos-Salmerón, et al. · Revista del Diseño Innovativo (2024) | TGRS Research Map | TGRS