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http://hdl.handle.net/10609/88705
| Title: | Let me see: diseño de un generador automático de descripciones de imágenes |
| Author: | Bengoechea Isasa, José Ignacio |
| Director: | Casas-Roma, Jordi  |
| Tutor: | Bosch Rue, Anna |
| Abstract: | The objective of this work is to design and implement a deep learning model to generate image captionings trough a encoder-decoder framework. This model will be evaluated with BLEU and ROUGE metrics, and an integration in Telegram will be carried out. |
| Keywords: | convolutional neural network computer vision image processing deep learning |
| Document type: | info:eu-repo/semantics/masterThesis |
| Issue Date: | Jan-2019 |
| Publication license: | https://creativecommons.org/licenses/by-nc-sa/3.0/es/  |
| Appears in Collections: | Bachelor thesis, research projects, etc. |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| jbengoecheaiTFM0119.zip | Código fuente del TFM | 8,84 kB | Unknown | View/Open |
| jbengoecheaiTFM0119presentacion.odp | Presentación del TFM | 45,14 MB | OpenDocument Presentation | View/Open |
| jbengoecheaiTFM0119memoria.pdf | Memoria del TFM | 1,61 MB | Adobe PDF |  View/Open |
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