Open-Sourced Deep Learning With Intel's OpenVINO

Video

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

Resources

• Slides
• 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.