Implementación de Redes Generativas Adversarias (GANs) para la generación de imágenes de tejido humano

This project is going to focus on the design, implementation and analysis of a new machine learning model based on decision trees and other models, specifically neural networks..

As mentioned before, although there has been no research using ML in the estimation of radio propagation loss in the presence of vegetation, there are some works related to

With all the above, the objective of this work would be to analyze, based on deep learning techniques involving convolutional neural network, different image preprocessing

Even though most of the studies specified the validation method, which constituted a good practice, it should be noted that it was not specified for all models whether the

As the title of this master thesis suggests, the idea of this work is to find different ways to adapt the learning rate of a convolutional neuronal network focusing on

The circuit is designed to be synthetized in the analog domain close to the image pixels in order to reduce power dissipation and data transfer between memory and the analog

To carry out this project successfully, the workflow has been divided into 4 categories: Data, Deep Learning, Machine Learning and Handcrafted Features. For the input of these

Among the different areas of Deep Learning, the combination of Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) is an important novelty for