Webinar: Accelerate Deep Learning Inference using OpenVINO Toolkit

Can you use a trained model without deploying the entire framework? Or use a small part of the framework just for inferencing? These are two common challenges faced by software developers and data scientist when deploying models. Solving these challenges is what this webinar is about, using the new OpenVINO™ toolkit. Short for Open Visual Inference & Neural Network Optimization, the OpenVINO™ toolkit (formerly Intel® CV SDK) contains optimized OpenCV and OpenVX libraries, deep learning code samples, and pre-trained models to enhance computer vision development. It’s validated on 100+ open source and custom models, and is available absolutely free.

What You Will Learn:

• Using the toolkit to deploy a neural network and optimize models
• Intel Deep learning Inference H/w Platforms
• The Intel® Deep Learning Deployment Toolkit—part of OpenVINO—including its Model Optimizer (helps quantize pre-trained models) and its Inference Engine (runs seamlessly across CPU, GPU, FPGA, and VPU without requiring the entire framework to be loaded)
• How the Inference Engine lets you utilize new layers in C/C++ for CPU and OpenCL™ for GPU

Speakers:

Mr. Premchander Rao

APJ Staff Lead, IoT & Smart Video

Prem has over 16+ years of experience in development of embedded software for mobile and multimedia system on chip (SOC). Currently working as APJ Staff Lead for IoT and Smart Video. From last 8 years of his work at Intel®, He has been part of the APAC Mobile/Tablet, Real sense application enabling and Emerging Markets Client Enabling activities as Technology lead and most recently as Engineering Manager for IOT Enabling team and he was responsible for working with Key Independent Software Vendors (ISV) in APAC and help them enable their solutions for Intel® architecture devices.

Prem holds a Master of Eng. in Electrical and Electronics Engineering from PSG College of Technology.Prem enjoys travel with his Family and loves Photography and he is an avid reader.

Webinar By Intel:

Watch a recording of this webinar: