Advanced learning methods

This module proposes to study recent systems in deep learning. On the one hand, we'll be looking at recurrent systems, and on the other at non-supervised generative approaches such as antigonistic network methods.

Recurrent approaches (RNN, LSTM, etc.)
Knowledge transfer approaches
Antagonistic network generative methods (GAN, generator, discriminator, etc.)
Image classification
Object recognition
Super-resolution
Translation in image processing (colorization, style transfer, etc.)

Signal and image processing