GIACOMO BORACCHI - TEACHING
 

Advanced Neural Networks and Deep Learning AY 2023/2024,
Prof. Giacomo Boracchi and Prof. Matteo Matteucci


COURSE MATERIALS:

Use the folloging calendar to know in which room lectures will be held and to watch lectures recordings (Google Calendar)


Introduction to the Course, Introduction to Deep Learning (Boracchi) 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

Neural Networks Training: dealing with overfitting (weight decay, early stopping, dropout), vanishing gradient (ReLU and friends), batch normalization (Matteucci)  Slides

The Image Classification Problem  Slides

Convolutional Neural Networks  Slides

CNN Anatomy and Training with Data Scarcity  Slides

Famous CNN architectures Slides

Fully Convolutional CNN and CNN for Semantic Segmentation  Slides

CNN for Localization and CNN Explanations Slides

Object Detction Networks and Metric Learning  Slides

Autoencoders and Generative Adversarial Networks  Slides







Practicals Notebooks and Slides from the exercise sessions held by Loris Giulivi



Course Website on  Prof. Matteucci' homepage;


ADDITIONAL RESOURCES

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

Drop me an email if you want to hear about these or latest opportunities!




RELATED COURSES  

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

Image Classification: Modern Approaches (PhD course @Polimi) February 2018  (Official Program)