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 students should have a Palmetto Cluster account. If you do not already have an account, you can visit our getting started page. Students 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

No live sessions are currently planned for this workshop.

Resources

For a self-guided version, you can read the Advanced Deep Learning in Pytorch guide on our workshop site.