Pynq – BNN for Fabric Texture Analysis on the EDGE – Part 1
This blog series is split into 3 parts – Part 1: Why Binary Neural Networks Part 2: Why PYNQ? Part 3: Pynq – BNN Implementation Introduction We develop High Speed Embedded Vision modules for use cases in the Textile Industries. These high-speed modules are...
TRD Design for Xilinx EDGE AI on ZCU 106
Recap: Deep Learning on Xilinx Edge AI (DPU Implementation) – Part 1 Introduction In the course of developing Edge AI solutions, it is imperative to evaluate the solution on a standard Xilinx Evaluation board to see if your model fits on the silicon and you are able...
Deep Learning on Xilinx Edge AI (DPU Implementation) – Part 1
Introduction Many applications like smart manufacturing, surveillance and augmented reality require Artificial Intelligence to be implemented on the EDGE. Some of the challenges in implementing AI on the EDGE are – Achieving lowest possible latency Network pruning to...