The Pizza Topping Classification project is centered around developing a deep learning model capable of automatically identifying different pizza toppings from images.

Repository of Artificial Neural Networks and Deep Learning homeworks at Polytechnic of Milan. Image Classification and Semantic Segmentation.

A deep learning project for classifying seven core emotions from facial expressions using transfer learning on RGB images. Focused on model performance, efficiency, and real-world applicability.

A deep learning-based solution for automatic brain tumor detection using MRI scan images. This project employs Convolutional Neural Networks (CNNs) to classify images into tumor and non-tumor categories. Built with TensorFlow and Python, it aims to support early and accurate medical diagnosis.

Recognizing the critical importance of early diagnosis in respiratory diseases, especially pneumonia, this project compares the performance of five state-of-the-art convolutional neural network (CNN) architectures to identify the most effective model for accurate detection.