Developed with Domenico Cacace and Miguel Gonzalez under the group name DMU.
The repository contains two folders with projects and a folder with the notebooks from the lab exercise sessions. Check each project folder to get a broader description of the task. Each projects-related notebook was run on Kaggle, while the notebooks from the exercise sessions were run on Colab.
In this homework you are required to classify images of leafs, which are divided into categories according to the species of the plant to which they belong. Being a classification problem, given an image, the goal is to predict the correct class label.
In this homework, you are required to predict future samples of a multivariate time series. The goal is to design and implement forecasting models to learn how to exploit past observations in the input sequence to correctly predict the future.
The folder consists on multiple notebooks covering a broad spectrum of topics, such as overfitting, convolutional neural networks, transfer learning, autoencoders, transformers, neural machine translation and etc.