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En este libro se introducen los conceptos fundamentales del aprendizaje profundo (Deep learning, DL) mediante el uso de redes neuronales artificiales (Artificial neural networks, ANN). El lector podrá encontrar una revi...

Automático (Machine Learning). El objetivo del machine learning es que los sistemas informáticos sean capaces de aprender a partir de los datos, emulando de esta manera las capacidades humanas. El Aprendizaje Profundo ...

La inteligencia artificial permite la innovación y el cambio en todos los aspectos de la vida moderna. La mayoría de los avances actuales se basan en Deep Learning, un área de conocimiento muy madura que permite a las...

Research in English Language Teaching in Mexico has recently increased due to the new demanads imposed by international agencies for researchers to publish. As a result, networks and collaboration among institutions have...

An end-to-end methodology based on deep learning for the detection and localization of microcalcifications in digital mammograms introduces a novel methodology designed for the preprocessing and localization of clusters ...

Lo primero que hicimos para iniciar la redacción de este libro fue realizar distintos ejercicios de autorreconocimento de nuestras propias funciones. Para ello, nos apoyamos en la matriz A center for teaching and learni...

The communicators’ training is one the fields with more updates due to constant changes faced every year. Therefore, digital native students have competencies developed in an informal way that become a natural bridge t...

We are pleased to present to the entire academic community and the general public the following work, which contains recent research results of a group of teachers from the Faculty of Educational Sciences in areas such a...

It is a well-known fact, accepted by most psychologists, that students assimilate knowledge in different ways. Several categories of learners have been identified: oral, visual, kinetic. This has doubtless implications f...

The network society (Van Dijk, 2020) has completely blurred the traditional difference between virtual and real life, Our day to day is increasingly characterised by our continuous connection to the Internet, Multiple da...

VLE (Virtual Learning Environments) are rapidly falling short to meet the demandsof a networked society. Web 2.0 and social networks are proving to offer a morepersonalized, open environment for students to learn formall...

Este trabalho tem por objetivo apresentar a análise, à luz da Teoria das Representações Sociais, de um fórum de discussão realizado com professores da rede pública e da particular de escolas brasileiras da Educaç...

Due to the simplicity of their implementations, least square support vector machine (LS-SVM) and proximal support vector machine (PSVM) have been widely used in binary classification applications. The conventional LS-SVM...

As with any burgeoning technology that enjoys commercial attention, the use of data mining is surrounded by a great deal of hype. Exaggerated reports tell of secrets that can be uncovered by setting algorithms loose on o...

Subjects / keywords: Machine learning; Neural networks (Computer science)

Subjects / keywords: Computer-assisted instruction; Learning; Technological innovations; Teaching; Computer network resources

Subjects / keywords: Neural networks (Computer science); Artificial intelligence; Information networks; Machine learning

La realidad indica que el disponer de un moderno laboratorio de redes basado en equipamiento propietario es un factor prohibitivo para muchas instituciones educativas. El dictado de un curso típico de Redes de Computado...

Social networking sites have enabled a high connectedness leading to unprecedented interactive dynamics. Social workers are using these digital means and are generating communities of practice through which they cooperat...