Open-Sourced Deep Learning With Intel's OpenVINO
About the Talk
Built on top of popular open-sourced libraries such as OpenCV, OpenVINO is a truly open-sourced platform that enables deep learning deployments across platforms, including CPUs, integrated GPUs, FPGAs and AI with a write-once, deploy-anywhere simplicity. We discuss what it takes to build a sustainable, open-sourced deep learning inference platform for everyone. This talk highlights how you can get involved in the community, and educational resources you can use to learn more.
What You’ll Learn
- How collaboration and the open source community are shaping deep learning today
- Ways to contribute to the future of deep learning
- Ready-to-go tools, educational resources, and a vibrant community to help you get started quickly
This Talk is Designed For
- AI/DL app developers of all levels, from beginners to experts
- OpenVINO overview
- OpenVINO toolkit and documentation
- OpenVINO contribution guidelines
- Online course: Introduction to Intel® Distribution of OpenVINO™ toolkit for Computer Vision Applications via Coursera
- OpenVINO on Github
- Learn OpenCV
About the Presenters
- Zoe Cayetano - Product Manager for OpenVINO, Intel
- Raymond Lo - Software Evangelist for OpenVINO, Intel
Zoe Cayetano is a Product Manager at Intel working on advancing the deployment of AI/DL technologies from edge to cloud. Prior to Intel, she founded an emotion-sensing headphones startup and was a data science researcher for a particle accelerator at Arizona State University, where she analyzed electron beam dynamics of novel x-ray lasers. She holds Bachelor’s degrees in Applied Physics and Business.
Raymond Lo is a Software Evangelist at Intel for AI and deep learning. Prior to joining Intel, Raymond was the founder and CTO of Meta (a YCombinator-backed augmented reality company) and the Technology Evangelist for Samsung NEXT. During his PhD, Raymond worked with Prof. Steve Mann, who is widely recognized as the father of wearable computing.