Deep learning with PyTorch

This introductory course to deep learning and neural networks with the PyTorch framework does not assume any prior knowledge in machine learning. Some basic Python is useful, but not strictly necessary.

Date:
Thursday, June 22, 2023

Time:
9am–5pm (with a two-hour break from noon to 2pm)

Instructor:
Marie-Hélène Burle (Simon Fraser University)

Prerequisites:
Basic knowledge of Python.

Software:
We will provide access to one of our Linux systems. To make use of it, attendees will need a remote secure shell (SSH) client installed on their computer. On Windows we recommend the free Home Edition of MobaXterm. On Mac and Linux computers, SSH is usually pre-installed (try typing ssh in a terminal to make sure it is there).


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