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Deep learning for temperature prediction using GPUs

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Deep learning for temperature prediction using GPUs

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dc.contributor.advisor Ruiz García, Juan Carlos es_ES
dc.contributor.advisor Jenkins, Karl es_ES
dc.contributor.author Erades de Quevedo, Óscar es_ES
dc.date.accessioned 2015-10-29T10:35:31Z
dc.date.available 2015-10-29T10:35:31Z
dc.date.created 2015-09-30
dc.date.issued 2015-10-29
dc.identifier.uri http://hdl.handle.net/10251/56719
dc.description.abstract Deep learning techniques have proven to be very successful when dealing with highly-complex problems such as speech and image recognition. Generally, deep architectures are composed of several layers of nonlinear transformations that are intended to capture highly-complex relationships. This project was intended to analyse how deep architectures could be used for tackling temperature prediction. Furthermore, this thesis was intended to analyse how Graphical Processing Units(GPUs) could increase performance over CPUs. For this undertaking a python library named Theano was used. This library allowed an easy GPU utilisation. One of the problems that arise when training deep architectures is that they are difficult to train because of several problems related to these architectures, such as gradient diffusion and non-convexity. A commonly used solution is to pre-train the Neural Networks to reduce these problems. After training several different models, it was not possible to develop a deep architecture that could outperform shallow ones. GPUs generally performed better than CPUs. It was shown how the larger the Neural Networks, the better the GPU over CPU performance was. es_ES
dc.format.extent 71 es_ES
dc.language Inglés es_ES
dc.publisher Universitat Politècnica de València es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Deep learning es_ES
dc.subject Regression es_ES
dc.subject GPU es_ES
dc.subject Neural networks es_ES
dc.subject.classification ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES es_ES
dc.subject.other Grado en Ingeniería Informática-Grau en Enginyeria Informàtica es_ES
dc.title Deep learning for temperature prediction using GPUs es_ES
dc.type Proyecto/Trabajo fin de carrera/grado es_ES
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica es_ES
dc.description.bibliographicCitation Erades De Quevedo, Ó. (2015). Deep learning for temperature prediction using GPUs. http://hdl.handle.net/10251/56719. es_ES
dc.description.accrualMethod Archivo delegado es_ES


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