Deploying Image Classifiers on Edge Devices Webinar

Learn how to profile, optimize, and deploy image classifiers on edge devices. In this webinar, Ashwin Vijayakumar will walk through the process of profiling pre-trained neural networks designed for image classification, identify a good balance between accuracy and real-time performance, and write a simple Python* script to deploy these classifiers on the Intel® Movidius™ Neural Compute Stick.

What You Will Learn:

  • How to deploy pre-trained neural networks on edge devices.
  • How to use Intel® Movidius™ Neural Compute SDK to profile a pre-trained neural network.
  • How to write a simple Python* app that performs classification on a live camera feed.

Required Fields(*)

By submitting this form, you are confirming you are an adult 18 years or older and you agree to share your personal information with Intel to use for this business request. You also agree to subscribe to stay connected to the latest Intel technologies and industry trends by email and telephone. You may unsubscribe at any time. Intel’s web sites and communications are subject to our Privacy Notice and Terms of Use.

About Our Speaker

Ashwin Vijayakumar

Lead Applications Architect, Intel Corporation

Ashwin Vijayakumar is a lead applications architect with Intel’s New Technology Group. He is in charge of running the online developer community for Movidius™ Neural Compute Stick. As an entrepreneur, developer, maker and innovator, Ashwin believes that given the right developer tools, everybody can develop innovative products. Prior to joining Intel, Ashwin has served as a software development lead for ADAS and as a customer engineering lead for advanced robotics, IoT and smartphones.