Minor Artificial Intelligence: Introduction to Deep Learning

Previously entitled Minor AI (Advanced): Advanced Machine Learning and Deep Learning

Coordinated by: Michel Riveill, PR Université Côte d'Azur, Polytech, I3S

FORMAT

Classroom

LOCATION

Campus SophiaTech, Templiers

Prerequisites

CAPACITY

24 students

ABOUT THIS MINOR

This  minor is also open to students from the SPECTRUM graduate school.

Summary

LEARNING OUTCOMES

  • Know the principles of Deep Learning (neural network)
  • Know how to build models based on neural networks to process structured data, images or text
Lecturers

PhD students for TP/TD supervision

Prerequisites
Bibliography
  • Statistics and Machine Learning in Python. Edouard Duchesnay, Tommy Löfstedt ​(presents Python language for machine learning​)
  • Python Machine Learning. Sebastian Raschka​
  • Hands-on machine learning with Scikit-Learn and TensorFlow: concepts, tools, and techniques to build intelligent. A. Géron. O’Reilly​ (practical)
  • Data science : fondamentaux et études de cas: Machine learning avec Python et R. M. Lutz, E. Biernat. Editions Eyrolles​ (In French, introduction level but requires some maths background
Evaluation
  • Test at the beginning of the class (25% of the final grade) - 17/11/2022
  • Test at the beginning of the class (25% of the final grade) - 8/12/2022
  • Student Project (50%)

SCHEDULE FALL 2022 (updated Oct. 7)

 
Mind the evaluation modalities and deadlines in the "Evaluation" tab above.
 
Date Time Course's title Lecturers Place
13/10/2022 9h00-10h30 An introduction to Natural Language Processing Michel Riveill Campus SophiaTech, Templiers, Building E, room E111 (ex-O+111)
10h30-12h30 TP/TD (students with computer science advanced level) Michel Riveill + Antoine Collin Campus SophiaTech, Templiers, Building E, room E111 (ex-O+111)
TP/TD (other students) Cédric Cuaz Campus SophiaTech, Templiers, Building E, room E302 (ex-O+302)
20/10/2022 8h30-9h00 Deep learning - Multi-layers perceptron Michel Riveill + 3IA PhD students Campus SophiaTech, Templiers, Building E, room E111 (ex-O+111)
9h00-10h30 Deep learning - General principles Michel Riveill Campus SophiaTech, Templiers, Building E, room E111 (ex-O+111)
10h30-12h30 TP/TD (students with computer science advanced level) Michel Riveill + Antoine Collin Campus SophiaTech, Templiers, Building E, room E111 (ex-O+111)
TP/TD (other students) Cédric Cuaz Campus SophiaTech, Templiers, Building E, room E302 (ex-O+302)
27/10/2022 9h00-10h30 Deep learning – Working with text (embedding) Michel Riveill Campus SophiaTech, Templiers, Building E, room E111 (ex-O+111)
10h30-12h30 TP/TD (students with computer science advanced level) Michel Riveill + Antoine Collin Campus SophiaTech, Templiers, Building E, room E111 (ex-O+111)
TP/TD (other students) Cédric Cuaz Campus SophiaTech, Templiers, Building E, room E302 (ex-O+302)
10/11/2022 9h00-10h30 Deep learning - Recommender Systems Michel Riveill Campus SophiaTech, Templiers, Building E, room E111 (ex-O+111)
10h30-12h30 TP/TD (students with computer science advanced level) Michel Riveill + Antoine Collin Campus SophiaTech, Templiers, Building E, room E111 (ex-O+111)
TP/TD (other students) Cédric Cuaz Campus SophiaTech, Templiers, Building E, room E302 (ex-O+302)
17/11/2022 9h00-10h30 Deep learning - Recurrent Neural Network Michel Riveill Campus SophiaTech, Templiers, Building E, room E111 (ex-O+111)
10h30-12h30 TP/TD (students with computer science advanced level) Michel Riveill + Antoine Collin Campus SophiaTech, Templiers, Building E, room E111 (ex-O+111)
TP/TD (other students) Cédric Cuaz Campus SophiaTech, Templiers, Building E, room E302 (ex-O+302)
24/11/2022 9h00-10h30 Deep learning - Convolutional Neural Network Diane Lingrand Campus SophiaTech, Templiers, Building E, room E111 (ex-O+111)
10h30-12h30 TP/TD (students with computer science advanced level) Diane Lingrand + Antoine Collin Campus SophiaTech, Templiers, Building E, room E111 (ex-O+111)
TP/TD (other students) Cédric Cuaz Campus SophiaTech, Templiers, Building E, room E302 (ex-O+302)
01/12/2022 9h00-10h30 Deep learning - Model Explainability Diane Lingrand Campus SophiaTech, Templiers, Building E, room E111 (ex-O+111)
10h30-12h30 TP/TD (students with computer science advanced level) Diane Lingrand + Antoine Collin Campus SophiaTech, Templiers, Building E, room E111 (ex-O+111)
TP/TD (other students) Cédric Cuaz Campus SophiaTech, Templiers, Building E, room E302 (ex-O+302)
08/12/2022 9h00-10h30 Deep learning - Reinforcement Learning Diane Lingrand Campus SophiaTech, Templiers, Building E, room E111 (ex-O+111)
10h30-12h30 TP/TD (students with computer science advanced level) Diane Lingrand + Antoine Collin Campus SophiaTech, Templiers, Building E, room E111 (ex-O+111)
TP/TD (other students) Cédric Cuaz Campus SophiaTech, Templiers, Building E, room E302 (ex-O+302)