On December 13, 2022 at 9 am PT (noon ET), Yonatan Geifman, Co-founder and CEO of Deci, will present the free hour webinar “How to Successfully Deploy Deep Learning Models on Edge Devices,” organized by the Edge AI and Vision Alliance. Here’s the description, from the event registration page:
The introduction of powerful processors, memories and other devices, along with robust connectivity to the cloud, has enabled a new era of advanced AI applications capable of running on the edge. But system resources remain finite; cost, size and weight, power consumption and heat, and other constraints make it challenging to deploy accurate, resource-efficient deep learning models at the edge. How can you build a deep learning model that is not too complex or large to run on an edge device and makes the most of the available hardware?
This technical session is packed with practical tips and tricks on topics ranging from model selection and training tools to running successful inference at the edge. Deci will demonstrate how to benchmark and compare different models, leverage model training best practices, and easily automate compilation and quantization processes, all while using the latest open source libraries and tools. At the conclusion of the webinar, you will have gained practical knowledge on how to eliminate guesswork in significantly improving your edge devices’ performance, boosting runtime speeds while optimizing accuracy for AI-based applications. A question-and-answer session will follow the presentation.
To register for this free webinar, please see the event page. For more information, please email [email protected].
