Advanced Deep Learning in Pytorch
This workshop covers advanced PyTorch development topics including model fine-tuning, using multiple GPUs during training, experiment tracking, and more.
All participants should have a Palmetto Cluster account. If you do not already have an account, you can visit our getting started page. Participants must have basic familiarity with Python programming and a good grasp of Pytorch fundamentals. This requirement is satisfied by taking the the introductory pytorch series or other experience using Pytorch.
Session Information
Session #1 for Spring 2025
Dates:
- Part 1: Tuesday, March 25, 2025
- Part 2: Thursday, March 27, 2025
Time: 2:00 PM — 4:00 PM (2 hours)
Location: Cooper Library 204
Resources
For a self-guided version, you can read the Advanced Deep Learning in Pytorch guide on our workshop site.