Section Nom Description
Lectures Fichier Lecture 1: Intro to DL + Course Organization
Fichier Lecture 2: Feed Forward Networks
Fichier Lecture 3: Optimization & Training
Fichier Lecture 4: Convolutional Neural Networks

Please find the PDF & the PPT here, as well as the video recording for the second part of the lecture on important CNN architectures.

The .pptx slides contain additional videos / animations that are not playing in the PDF.

 

 
Fichier Lecture 5: Autoencoders and Generative Adversarial Networks
Fichier Lecture 6: Recurrent Neural Networks, Sequence to Sequence and Attention Models
Fichier Lecture 7: Attention & Transformers
Fichier Lecture 8 - Introduction to Reinforcement Learning
Fichier Lecture 9 - Deep Reinforcement Learning
Fichier Lecture 10 - Graph Representation Learning
Fichier Lecture 11 - Graph Neural Networks