Open-Sourced Deep Learning With Intel's OpenVINO


Discover ways to contribute to the future of deep learning. See 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

About OpenVINO:
Built on top of popular open-sourced libraries such as [OpenCV](https://opencv.org/), [OpenVINO](https://docs.openvinotoolkit.org/) 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.

Resources & slides: https://www.digitalocean.com/community/tech_talks/open-sourced-deep-learning-with-openvino

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.

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Duration: 00:52:55
Publisher: DigitalOcean
You can watch this video also at the source.