Course Description

This course describes how to use the Vitis™ AI development platform. The emphasis of this course is on:

• Illustrating the Vitis AI tool flow
• Utilizing the architectural features of the Deep Learning Processor Unit (DPU)
• Optimizing a model using the AI quantizer and AI compiler
• Utilizing the Vitis AI Library to optimize pre-processing and post-processing functions
• Creating a custom platform and application

This course combines lectures with lab demos to reinforce concepts.

Pre-requisites:

• Deep learning frameworks (such as TensorFlow, Pytorch, and Caffe)
• Comfort with the C/C++/Python programming language
• Software development flow

Course duration:

• 1 day (10am - 5pm)

Agenda

• Introduction to the Vitis AI Development Environment
• Frameworks Supported by the Vitis AI Development Environment
• Overview of ML Concepts
• AI Optimizer ,Quantizer and Compiler
• Vitis Ai Library
• DPU (Deep Processing Unit) architecture
• Creating a Custom Hardware Platform with the DPU Using the Vivado Design Suite Flow (Edge)