This lectures and training teach you the fundamentals of deep learning for running on GPU. You will learn on how deep learning works through hands-on exercises in computer vision and natural language processing. You’ll train deep learning models from scratch, learning tools and tricks to achieve highly accurate results. You’ll also learn to leverage freely available, state-of-the-art pre-trained models to save time and get your deep learning application up and running quickly.

Material:

During the workshop, each participant will have dedicated access to a fully configured, GPU- accelerated workstation in the cloud.
Each participant should have its own notebook (PC) with an internet connection and capable of running the latest version of Chrome or Firefox.

Prerequisites:

An understanding of fundamental programming concepts in Python such as functions, loops, dictionaries, and arrays.

Registrations:

To ensure suitable online interraction between the instructors and the participants, the number of participants for this session is limited. Be sure to be present online all day long before registering. FIFO algorithm will be applied for registrations.
People should register by sending an email to Frédéric Magoulès (Univ. Paris Saclay, CentraleSupélec): frederic.magoules@centralesupelec.fr