WVU Research Computing will host a three-day workshop on deep learning August 8-10. Faculty, staff and students are invited to attend either online or in person. The workshop is not oriented toward specialists in computer science or leading-edge researchers in the area.
Practical examples will be offered in three of the major deep learning engines: TensorFlow, PyTorch and MXNet. These engines use Python as the base language. The examples and exercises will use Thorny Flat — WVU's High-Performance Computer cluster which offers several GPUs to accelerate calculations.
The workshop will cover accessing the cluster through a web interface called Open On Demand and Jupypter notebooks. No special software or hardware is required for attendees other than a normal computer with a web browser and no prior experience in HPC is required.
Participants must register for the workshop in advance and workshop materials, including Jupyter notebooks and data, will be available on the cluster.
Register to attend the in-person workshop.
Register to attend the workshop online.