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image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Recolector de Cienci...arrow_drop_down
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Recolector de Ciencia Abierta, RECOLECTA
Other ORP type . 2024
Data sources: Recolector de Ciencia Abierta, RECOLECTA
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DIGITAL.CSIC
Other ORP type . 2024
Data sources: DIGITAL.CSIC
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Introducción al Deep Learning con Paquete KERAS (III)

appsOther research productkeyboard_double_arrow_right Other ORP type 01 Jan 2024 Spain Spanish Publisher:Sociedad de Amigos del Museo Nacional de Ciencias Naturales
Authors: Mendoza García, Manuel;

handle: 10261/371676

Introducción al Deep Learning con Paquete KERAS (III)

Abstract

Objetivo de los Cursos Aprender a aplicar con R las principales técnicas de Aprendizaje automático en investigación científica, comprendiendo en profundidad cómo funcionan. El curso tiene una fuerte componente práctica (≈ 80%), con numerosos ejercicios prácticos procedentes de investigaciones reales, cuya programación, resolución e interpretación se va viendo simultáneamente con la teoría.

Dirigido: Investigadores de cualquier nivel académico. Requisitos: Conocimientos básicos de R. Haber cursado los módulos I y II de Técnicas Avanzadas de Machine Learning o un Curso anterior que incluya ambos módulos. 5 días, 15 horas 22 a 29 octubre (L-J) Horario Clases en directo: 16.30 a 19.30h Clases en diferido: disponibles online hasta el 30 de noviembre

No

Country
Spain
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Keywords

http://metadata.un.org/sdg/4, Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all, Formación

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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23