Use the folloging calendars to know where lectures will take place and to get access to lecture recordings. Links for both courses (Google Calendar - Boracchi), (Google Calendar - Matteucci)

Course syllabous

Course Logistics and Exam Rules (Boracchi)  Slides

Introduction to Deep Learning (Boracchi)  Slides

Course Logistics and Exam Rules (Matteucci)  Slides

Introduction to Deep Learning (Matteucci)  Slides

From Perceptrons to Feed Forward Neural Networks: the original Perceptron model, Hebbian learning, feed-forward architecture, backpropagation and gradient descent, error functions and maximum likelihood estimation (Matteucci)  Slides

Practicals Notebooks and Slides from the exercise sessions held by Roberto Basla and Carlo Sgaravatti

• Link to Google Drive Folder with all the shared notbooks

Thesis Opportunities related to Deep Learning, Image Analysis / Processing, Computer Vision Thesis Opportunities Description;

Advanced Deep Learning Models And Methods: The Rise of Transformers (Milano, PhD Course organized by Matteo Matteucci and Giacomo Boracchi) January/February 2023 Materials

Advanced Deep Learning Models and Methods (Milano Leonardo, PhD course) February/March 2022 Materials

Mathematical Models And Methods For Image Processing (MMMIP) (Milano Leonardo), Course Materials

Computer Vision (USI Lugano) Spring 2020 ( Materials )

Machine Learning For Non Matrix Data (Milano Leonardo, PhD course) February/March 2019 Materials