In this webinar, you will learn how to train your own gesture recognition deep learning pipeline. We’ll start with a pre-trained detection model, repurpose it for hand detection, and use it together with the purpose-built gesture recognition model.
NVIDIA pre-trained deep learning models and the Transfer Learning Toolkit (TLT) give you a rapid path to building your next AI project. Whether you’re a DIY enthusiast or building a next-gen product with AI, you can use these models out of the box or fine-tune with your own dataset. The purpose-built, pre-trained models are trained on the large datasets collected and curated by NVIDIA and can be applied to a wide range of use cases. TLT is a simple AI toolkit, shipped with Jupyter notebooks, that requires little to no coding for taking pre-trained models and customizing them with your own data.
Date: March 3, 2021
Time: 11:00am – 12:00pm PT
Duration: 1 hour
Join this webinar to explore:
- Highly optimized pre-trained models for various industry use cases
- How to fine-tune with your own data on new pre-trained models and use them to reduce your total development time
- Developing an end-to-end training pipeline and deploying the trained model on NVIDIA SDKs
Join us after the presentation for a live Q&A session.
