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Title: Análisis de líneas de costa con redes neuronales LSTM
Author: Rivas Bernaldo de Quiros, Marcos
Tutor: Martí Puig, Pere
Keywords: LSTM
neural networks
Issue Date: Jun-2020
Publisher: Universitat Oberta de Catalunya (UOC)
Abstract: The aim of this work is to study the use of Long Short-Term Memory (LSTM) networks for the detection of coastlines in images of different beaches. The aim is to evaluate the possibility of using this type of neural networks so that no pre-processing or post-processing of the image is done, it will be sent directly without any modification to the network. In the same way, the prediction of the network is interpreted without any post-processing. In order to be able to evaluate the results of the network reliably, the configuration of the network remains constant during the execution of the different experiments.
Language: Spanish
Appears in Collections:Bachelor thesis, research projects, etc.

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