Deep learning for computer vision
Course material
DL for vision: laboratoires
DL for vision: préparation
Course slides
Course 1, Intro, MLP, learning with pytorch
Course 2, Intro to CNN, autoencoders
Course 3, Transfer learning, CNN architectures, Anomaly detection