Developing Xilinx AI Solutions for Edge-based Applications
This course describes how to use DNN algorithms, models, inference and training, and frameworks on an edge computing platform. The emphasis of this course is on: ▪ Using the architectural features of the Deep Learning Processor Unit (DPU) ▪ Optimizing a model for an edge application using the Deep Neural Network Development Kit (DNNDK) ▪ Setting up an edge platform ▪ Creating custom applications ▪ Deploying the design
Course details with outline, daily schedule and prerequisites.