Introduction This tutorial will use the Avnet Ultra96 V2 development board and Tensil’s open-source inference accelerator to show how to run machine learning (ML) models on FPGA. We will be using ResNet-20 trained on the CIFAR dataset. These steps should work for any supported ML model – currently all the common state-of-the-art convolutional neural networks are supported. Try it with your model! We’ll give detailed end-to-end coverage that is easy to follow.
