Advanced deep learning (MSc Data Science M2)

Semester Semester 3
Type Optional
Nature Choice
Credit hour 6
Total number of hours 30
Number of hours requiring attendance 60

Prerequisites

Description

From shallow to deep networks, convolutional neural networks, recurrent neural networks, generative networks (stacked denoising autoencoder, variational autoencoder, generative adversarial networks), adversarial samples, reinforcement learning, transfer learning, optimization of deep neural networks (tips & tricks), etc.

This course is offered by the MSc "Data Science" and for an advanced level in deep learning. Only second year students can participate and after succesful completion of the course "stochastic models in neurocognition and their statistical inferences" during the first year.