Using DevCloud and the Deep Learning Workbench, you will explore the wide range of pre-configured examples available in the Intel DevCloud for the Edge, spanning medical, industrial, retail and education applications. We’ll also introduce tutorials for encrypted models, how to migrate from DevCloud to a local edge device, and DL Streamer Pipeline examples.
Friday, September 18, 9:00 am – 1:30 pm PT
You will use DevCloud to run live demonstrations of benchmarking various trained models executing on specific devices using the Deep Learning Workbench. We will highlight the wide range of retail examples available in the Intel DevCloud for the Edge, including store aisle monitoring, multi-camera store traffic monitoring, and shopper gaze detection. We’ll also introduce tutorials for encrypted models, how to migrate from DevCloud to a local edge device, and DL Streamer Pipeline examples.
Monday, September 21, 9:00 am – 1:30 pm PT
Take a deep dive into the capabilities of Edge Insights for Industrial via a tutorial utilizing a defect detection application example. In this example, printed circuit boards (PCBs) are inspected via video for quality control, including detection of missing components and short circuits.
Wednesday, September 23, 9:00 am – 1:30 pm PT
This Synopsys seminar includes sessions on implementing artificial intelligence, machine learning and computer vision into SoCs, all aimed to help you develop vision chips for edge applications. You’ll deep dive into always-on, low-power applications, implementing gesture recognition, system-level architecture exploration, SLAM implementations, securing sensitive information (from algorithms to biometric data) and much more.
Wednesday, September 16, 9:00 am – 12:00 pm PT
Friday, September 18, 9:00 am – 12:00 pm PT Price: $25
If you are considering signing up for this workshop, you’ll almost certainly want to register for the remainder of the Embedded Vision Summit, featuring both live and on-demand content. The Summit is your gateway to a world of information on practical computer vision. Inspiring keynote presentations, dozens of practical sessions that help you deploy embedded vision products, and the Technology Showcase, where top suppliers are on hand with your projects in mind and the tools you need to achieve your vision. Click here for more info on the Embedded Vision Summit.
Learn to develop computer vision and edge AI applications using the leading framework for neural network training, design and evaluation. Save 10% with TFSOCIAL20-V when you register. Info & reg: https://bit.ly/2GOtUXz
8 lectures | 6 labs | expert instructor help
Ready to learn TensorFlow 2.0 and Keras? Here's how this 100% online, on-demand training course will let you hit the ground running. More info: http://bit.ly/fbTF101420 Save 10% with TFSOCIAL20-V when you register.
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