Workshop Overview:
The goal of this workshop is to familiarize attendees with Deep Learning and its applications through PyTorch.
Intended Audience:
This workshop is intended for attendees with no prior knowledge of Deep Learning or PyTorch
Topics Covered:
- Deep Learning
- PyTorch
- Real-world examples and use-cases
- Overview of Deep Learning
- How PyTorch can be used
Workshop Takeaways:
- Determining when to start model optimization
- Which search methodology is effective for your domain
- Configuring stop conditions and validation checks
- Automating parameter searching in a scalable way
To-Do Before Workshop / How to Prepare:
No preparation required. Instructor will walk through environment set up with attendees and provide notebooks/materials as necessary.