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http://hdl.handle.net/2445/177854
Title: | Analysis of neural networks. Applications to interpretability and uncertainty |
Author: | Marín Sánchez, Gabriel |
Director/Tutor: | Benseny, Antoni Rubio Muñoz, Alberto |
Keywords: | Intel·ligència artificial Treballs de fi de grau Xarxes neuronals (Informàtica) Sistemes experts (Informàtica) Artificial intelligence Bachelor's theses Neural networks (Computer science) Expert systems (Computer science) |
Issue Date: | 22-Jun-2020 |
Abstract: | [en] From image creation and pattern recognition to speech and text processing, the outstanding performance of neural networks in a wide variety of fields has made them a popular tool among researchers. However, the fact that we do not fully understand why their performance is so successful or how they operate converts this technology into a black-box model based on trial and error. In this work, we attempt to give deep neural networks a mathematical representation and present different examples and applications that bring light to the understanding of neural networks’ behaviour and usage. |
Note: | Treballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2020, Director: Antoni Benseny i Alberto Rubio Muñoz |
URI: | http://hdl.handle.net/2445/177854 |
Appears in Collections: | Treballs Finals de Grau (TFG) - Matemàtiques |
Files in This Item:
File | Description | Size | Format | |
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177854.pdf | Memòria | 12.76 MB | Adobe PDF | View/Open |
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