Introduction to Deep Learning, Master BME-BIN

This two day course is an introduction to deep-learning for the Master Biomedical Engineering (BME), in the Bioengineering and Innovation in Neuroscience (BIN) training program. It is a part of the teaching Unit "Neuroscience and Artificial intelligence" From real to artificial neurons and back.

A drive is associated to the course and gathers the slides and other necessary files.

The outline is:

  • machine learning basics : logistic regression, loss function and gradient descent
  • from logistic regression to feed-forward multi-layered NNet
  • Deep learning tools and tricks
  • Sequence modelling with convolution NNet
  • Recurrent architectures