Apprentissage Profond

Ects : 4

Enseignant responsable :

  • TRISTAN CAZENAVE

Volume horaire : 24

Description du contenu de l'enseignement :

Introduction to Deep Learning.

Deep Learning enable to train neural network with many layers so as to address various difficult problems. Applications range from image to games. In this course we will present Stochastic Gradient Descent for deep neural networks using different architectures (convolutions, dense, recurrent, residual). We will use Keras/Tensorflow and/or Pytorch and apply them to games and optimization.

References: Deep Learning avec TensorFlow - Mise en oeuvre et cas concrets – 22 novembre 2017

de Aurélien Géron, O’Reilly.

Keras Documentation : keras.io

Pytorch Documentation : pytorch.org