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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