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

See also:

• EMBD-AIEDGE:  Developing Xilinx AI Solutions for Edge-based Applications course description
• Xilinx training schedule and registration