Akhil Docca, Senior Product Marketing Manager at NVIDIA, presents the “Accelerating the Creation of Custom, Production-Ready AI Models for Edge AI,” tutorial at the May 2022 Embedded Vision Summit.
AI applications are powered by models. However, creating customized, production-ready AI models requires an army of data scientists and mountains of data. For businesses looking to shorten time to market, acquiring training datasets and people with the right skills can be cost-prohibitive. The combination of NVIDIA’s state-of-the-art, pre-trained AI models and the NVIDIA TAO (Train, Adapt and Optimize) Toolkit makes it easy to overcome these barriers.
By fine-tuning NVIDIA’s pre-trained vision AI models with your data, you can create custom, production-ready models in hours—rather than months—with no need for AI expertise or large training datasets. Your optimized models can be easily integrated into NVIDIA’s DeepStream accelerated AI framework for deployment at the edge. In this session, you’ll learn how the NVIDIA TAO Toolkit can help you overcome your data prep challenges, enable you to fine-tune your models without deep expertise in AI, and simplify the optimization of models for deployment at the edge.
See here for a PDF of the slides.