Accelerating Deep Learning for Embedded Vision at the Edge

at 2:00 pm EST

This webinar presents a complete machine learning inference flow of a convolutional neural network (CNN) architecture, including the necessary steps to implement a trained network model on an embedded target platform (Xilinx Zynq Ultrascale+ MPSoC ZCU102 development kit).

This webinar is a follow-on to Accelerating Deep Learning for Vision Using Caffe Framework presented in February 2019.


  • A quick recap of Artificial Intelligence applications and Deep Learning
  • CMC’s machine learning training flow using Caffe Framework
  • Machine learning inference flow using Xilinx DNNDK
    • CNN quantization
    • Hardware/software development with Xilinx SDSoC
    • Deployment on a Xilinx embedded platform
  • Live Demo and instructions on obtaining access to the flow and the HPP