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dc.contributor | Universitat Politècnica de Catalunya. Departament de Ciències de la Computació |
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dc.contributor | Belanche Muñoz, Luis Antonio |
dc.contributor.author | Lara Miquel, Miquel |
dc.date | 2019-04-15 |
dc.identifier.citation | 138714 |
dc.identifier.uri | http://hdl.handle.net/2117/133506 |
dc.language.iso | eng |
dc.publisher | Universitat Politècnica de Catalunya |
dc.rights | info:eu-repo/semantics/openAccess |
dc.subject | Àrees temàtiques de la UPC::Informàtica |
dc.subject | Neural networks (Computer science) |
dc.subject | Machine learning |
dc.subject | Kernel functions |
dc.subject | hybrid neural networks |
dc.subject | optimization |
dc.subject | random fourier features |
dc.subject | nystrom method |
dc.subject | rmsprop |
dc.subject | stochastic gradient descent |
dc.subject | simultaneous perturbation stochastic approximation |
dc.subject | radial basis function kernel |
dc.subject | tensorflow |
dc.subject | deep learning |
dc.subject | fashion mnist |
dc.subject | mnist |
dc.subject | Xarxes neuronals (Informàtica) |
dc.subject | Aprenentatge automàtic |
dc.subject | Kernel, Funcions de |
dc.title | Towards fast hybrid deep kernel learning methods |
dc.type | info:eu-repo/semantics/masterThesis |
dc.description.abstract |