GLD - Developing AI Inference Solutions with the Vitis AI Platform

Course Details

Length: 19 Hours

Number of Labs: 5

Number of Chapter: 14

Current Version: 2023.1

Number of Demos: 0

Overview

Implement neural networks on cloud and edge platforms using the Vitis™ AI development platform.

The emphasis of this course is on:

Illustrating the Vitis AI tool flow, including optimization and compilation
Exploring the architectural features of the Deep Learning Processor Unit (DPU)
Utilizing the Vitis AI Library to optimize pre-processing and post-processing functions
Creating a custom platform and application
Deploying a design

What,s New:

Focus on TensorFlow 2, PyTorch, and some ONNX

All labs have been updated to the latest software versions

CHAPTERS

Introduction to the Vitis AI Development Environment

Frameworks Supported by the Vitis AI Development Environment

Overview of ML Concepts

AI Optimizer

AI Quantizer and AI Compiler

AI Profiler

Introduction to the Deep Learning Processor Unit

DPUCZDX8G Architecture Overview – Zynq Device

Vitis AI Library

Creating a Custom Hardware Platform with the DPU Using the Vivado Design Suite Flow - Edge

Creating a DPU Kernel Using the Vitis Environment Flow - Edge

Creating a Vitis Embedded Acceleration Platform

Creating a Custom Application (Edge)

Developing AI Inference Solutions with the Vitis AI Platform Quiz

OTHER FORMATS

On Demand Trainings

Virtual Classroom

Live Classroom

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