This repository contains the projects developed during the Artificial Neural Network & Deep Learning course (23/24) at Politecnico di Milano.
One of the challenges tackled in this repository was to implement a neural network for image classification, specifically focusing on distinguishing between healthy and diseased plant leaves. The objective was to build a model capable of accurately categorizing images of plant leaves into two classes: healthy and unhealthy. The dataset consisted of images of plant leaves, with annotations indicating whether the leaf was healthy or diseased.
Another challenge addressed in this repository was time series forecasting using neural networks. The objective was to predict future values of a time series based on historical data.