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http://hdl.handle.net/2445/141012
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DC Field | Value | Language |
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dc.contributor.advisor | Serrano Moral, Ma. Ángeles (María Ángeles) | - |
dc.contributor.author | Bécares Mas, Andreu | - |
dc.date.accessioned | 2019-09-26T16:47:00Z | - |
dc.date.available | 2019-09-26T16:47:00Z | - |
dc.date.issued | 2019-06 | - |
dc.identifier.uri | http://hdl.handle.net/2445/141012 | - |
dc.description | Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2019, Tutora: M. Ángeles Serrano Moral | ca |
dc.description.abstract | Neural networks are complex non-linear models used to learn representations of data with multiple levels of abstraction. In this work, we introduce the basic notions of a neural network model, explaining the training process and generalization capabilities. In particular, to avoid overfitting to the training data, we study the L2 regularization method. Finally, an application of 2D vector classification has been developed to illustrate the concepts | ca |
dc.format.extent | 5 p. | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | ca |
dc.rights | cc-by-nc-nd (c) Bécares, 2019 | - |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | * |
dc.source | Treballs Finals de Grau (TFG) - Física | - |
dc.subject.classification | Xarxes neuronals (Informàtica) | cat |
dc.subject.classification | Treballs de fi de grau | cat |
dc.subject.other | Neural networks (Computer science) | eng |
dc.subject.other | Bachelor's theses | eng |
dc.title | Regularization of a neural network for binary classification | eng |
dc.type | info:eu-repo/semantics/bachelorThesis | ca |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | ca |
Appears in Collections: | Treballs Finals de Grau (TFG) - Física |
Files in This Item:
File | Description | Size | Format | |
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BECARES MAS Andreu.pdf | 660.82 kB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License