This course describes how to use the Vitis™ AI development platform in conjunction with DNN algorithms, models, inference and training, and frameworks on cloud and edge computing platforms.
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
- Deploying a design
What's New for 1.2
- All modules: Support for Pytorch added
- All modules: DPU names updated with new naming conventions
- New lab: Vitis AI Library (VART) for Cloud
- New module: Creating a Vitis Embedded Acceleration Platform
See also
