pca_kmeans_matlab

An assignment in which dimension reduction is applied with PCA, clustering with k-means algorithm and classification with Naive Bayes Classifier. Implemented in MATLAB, using the MNIST dataset.

CNN_interpretability

This project is about detecting pneumonia or no pneumonia from x-ray images and trying to explain the predictions of the Network.

MNist_classification

Classification of the famous dataset of Mnist, applying the Support Vector Machine algorithm and a Radial Basis Function Network. These assignments were for the course Neural Networks from Aristotle University of Thessaloníki. February 2017.

Pytorch-mini-Projects

Apply different Neural Network architectures in Pytorch.

DNN_with_keras

Finding the right hyperparameteres for a Deep Neural Network with keras. Classification task with 7 classes. Use cartographic variables to classify forest categories.