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dc.contributor.advisorPinto Cámara, Charles Richard
dc.contributor.authorAlonso Gago, Iñigo
dc.contributor.otherMaster de Ingeniería (Ind902)
dc.contributor.otherIngeniariako Master (Ind902)
dc.date.accessioned2019-12-04T15:23:48Z
dc.date.available2019-12-04T15:23:48Z
dc.date.issued2019-12-04
dc.identifier.urihttp://hdl.handle.net/10810/36690
dc.description.abstractMachine Learning has already become a game-changer in many fields such as Linguistics, Image Processing or Robotics. Becoming themain research topic for the worldwide specialistsin these fields. On the other hand, other fields such as mechanics are just starting to give baby steps on their path to take full advantage of the benefits that Machine Learning could bring.This work pretends to explore the possibilities of how mechanical engineering problems could benefit from Machine Learning. For this purpose, some of the foundation concepts in Machine Learning and more specifically, in Deep Learning, will be developed. Additionally, an example of how the application of Deep Learning to Mechanics will be provided.
dc.language.isoenges_ES
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectmachine learninges_ES
dc.subjectartitfitial intelligence
dc.subjectmechanical engineering
dc.subjectdeep learning
dc.subjectimage recognition
dc.subjectmaterials
dc.titleApplication of Deep Learning to Classification and Regression Problems in Mechanicses_ES
dc.typeinfo:eu-repo/semantics/masterThesis
dc.date.updated2019-09-10T06:36:22Z
dc.language.rfc3066es
dc.rights.holder© 2019, el autor
dc.identifier.gaurregister99779-736013-11
dc.identifier.gaurassign88583-736013


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