Developing AI Inference Solutions w/the Vitis AI Platform

2021.2 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 ▪ Providing an overview of the Xilinx Kria™ K26 SOM and its advantages What's New for 2.0 ▪ Frameworks Supported by the Vitis AI Development Environment module: Support for 22 new models added—total of 130 models from different deep learning frameworks (Caffe, TensorFlow, TensorFlow 2, and PyTorch) ▪ Introduction to the Deep Learning Processor Unit module: DPUCADX8G has been deprecated, and features from the DPUCAHX8L IP have been merged with DPUCAHX8H (DPUv3E) ▪ All labs have been updated to the latest software versions .