Intel released a toolkit that allows developers to build applications that emulate human vision across multiple platforms. The OpenVINO toolkit is based on convolutional neural networks (CNN) and it extends workloads across Intel hardware (including accelerators) and maximizes performance. In this video, I'll explain how OpenVINO, or Open Visual Inference and Neural Network Optimization, enables us to use convolutional neural networks for computer vision on the edge. This video was sponsored by Intel. Enjoy!
Code for this video:
https://software.intel.com/en-us/openvino-toolkit/documentation/code-samples
Please Subscribe! And like. And comment. That's what keeps me going.
Want more education? Connect with me here:
Twitter: https://twitter.com/sirajraval
Facebook: https://www.facebook.com/sirajology
instagram: https://www.instagram.com/sirajraval
The School of AI:
https://www.theschool.ai
More learning resources:
https://software.intel.com/en-us/openvino-toolkit
https://venturebeat.com/2018/05/16/intel-launches-openvino-computer-vision-toolkit-for-edge-computing/
https://www.youtube.com/watch?v=M6Nyh2JDLQs
https://software.intel.com/en-us/openvino-toolkit/documentation/get-started
https://software.intel.com/en-us/openvino-toolkit/deep-learning-cv
Join us in the Wizards Slack channel:
http://wizards.herokuapp.com/
And please support me on Patreon:
https://www.patreon.com/user?u=3191693
Signup for my newsletter for exciting updates in the field of AI:
https://goo.gl/FZzJ5w
#ComputerVision #SirajRaval #Intel
