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dc.contributor | González Colás, Antonio María |
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dc.contributor | Arnau Montañés, José María |
dc.contributor.author | Delgado Ventosa, Berta |
dc.date | 2018-10-25 |
dc.identifier.citation | 134281 |
dc.identifier.uri | http://hdl.handle.net/2117/127544 |
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 | Energy consumption |
dc.subject | Deep Neural Networks |
dc.subject | FPGA |
dc.subject | HARP |
dc.subject | Residual Networks. |
dc.subject | Xarxes neuronals (Informàtica) |
dc.subject | Energia -- Consum |
dc.title | An enegy-efficient FPGA accelerator for convolutional neural networks |
dc.type | info:eu-repo/semantics/masterThesis |
dc.description.abstract |