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