An introduction to Deep Learning

This lecture is an introduction to deep learning.

It introduces the student to basic concepts of machine learning: preparation of dataset, deep neural network construction, learning, etc.

Several example will be covered during this lecture : renting price prediction, image classification. More advanced concepts such as Generative Adversial Network will also be presented.

Students will use available computing ressources  provided by Google Colab, Kaggle, etc to train several networks.