The Intel® Distribution of OpenVINO™ toolkit enables high-performance, deep learning deployments.
In this session, software specialists Zoe Cayetano, Anna Belova, and Dmitry Temnov discuss optimization best practices to maximize your deep learning metrics, including throughput, accuracy, and latency.
- Get an understanding of the different optimization metrics that are important in deep learning
- Learn about the available tools and techniques to optimize your deep learning applications within Intel® Distribution of OpenVINO™ toolkit
- See a demo of how to use the Deep Learning Workbench (DL Workbench) to visually fine-tune your models
- Explore benchmarking resources to test on your own applications
- And more