TD 2 : GAN & cGAN

MSO 3.4 Apprentissage Automatique

The aim of this assignment is to discover GANs, understand how they are implemented and then explore one specific architecture of GANs that allows us to perform image to image translation.

My work for this project is available in the file : BE2_GAN_and_cGAN.ipynb.

Requirement

It requires torch, numpy, pillow, opencv-python, imageio

Author

Agnès Maassen - BE2 created by Dellandrea Emmanuel