Repository with supervised Deep Learning projects
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Updated
Jul 30, 2023 - Jupyter Notebook
Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural networks are a type of deep learning, which is a type of machine learning. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing.
Repository with supervised Deep Learning projects
Treball de fi de grau sobre tècniques d'aprenentatge profund aplicades a la classificació d'escenaris de xarxes oportunistes
Compare vanishing gradient problem case by case.
A C# implementation of ANNs
This project focuses on the presence of any kind of recurrence behaviour in a tissue sample, gathered from a an already diagnosed patient for Prostate Cancer
Experiments with Scene Labeling using Recurrent Convolutional Neural Networks on Foraminifera and Unity simulated images for Segmentation task
Deep Learning Models written in Tensorflow
Automatic Image Orientation using Deep Learning
This project focusses on creating an attacker against Deep Neural Networks making them misclassify an image. This is done to evaluate to robustness of the model.
Image classification task with Convolutional Neural Networks using Keras and dataset gathered from Kaggle. By following a great tutorial.
Programming assignments of the course
Scaffold codes for feedforward neural network and autoencoders.
Master thesis supplementary source code