Introduction to Deep Learning, Master BME-BIN

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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