Team: Blake Richards, Jessica Thomson, Joseph Viviano, Yu Zhang
Date: November 15th, 2019, 9h-17h. Breakfast/registration at 8h30.
Summary: Deep learning is increasingly used in neuroscience research. This course is an introduction to deep learning geared towards neuroscientists, with the aim of gaining a basic understanding of:
principles of a deep neural network architecture.
convolutional neural networks.
graph convolutional neural networks.
In addition, a key objective of the course is to gain an understanding of how deep learning can be used for neuroscience research. Current approaches to link artificial and biological neural networks will thus be reviewed, and hands-on tutorials using neuro data will illustrate most of the presented notions.
Morning (9h-12h30): Foundation of deep learning
10:30 am – 11:00 am: Break
12:30 pm - 1:30 pm: Lunch
Afternoon (13h30-17h) intersection of deep learning and neuroscience
15:00 pm – 15:30 pm: Break
Basic familiarity with Python would be preferable
You will need enough space for Anaconda and all the course data.
Please join the brainhack mattermost and the channel
main-training-dl. To install training material locally, please download and install python with the full-suite 64-bit Anaconda distribution. Then download or clone the github repositories specific to each session: