INTELLIGENCE ARTIFICIELLE ET MULTIMEDIA
- ECTS credits : 5
- Code : N9EN15
In brief
Objectives
The objective of this course is to present neural network architectures adapted to multimedia data processing.
Description
After an introduction to neural networks (2 classes, 2 lab sessions), different neural architectures are presented: convolutional networks (3 classes, 4 lab sessions), recurrent networks (2 classes, 3 lab sessions), auto-encoders (1 class, 1 lab session) and GANs (1 class, 1 lab session) with applications mainly in image and natural language processing. Audio/video data (1 lecture, 1 lab) and 3D data (1 lecture, 1 lab) and their processing by deep learning are also treated.
Bibliography
Ian Goodfellow and Yoshua Bengio and Aaron Courville : Deep Learning
Pre-requisites
Probability and Statistics
