Edge AI Tutorials

Tutorial	Description
CIFAR10 Caffe Tutorial (UG1335)	Train, quantize, and prune custom CNNs with the CIFAR10 dataset using Caffe and the Xilinx® DNNDK tools.
Cats vs Dogs Tutorial (UG1336)	Train, quantize, and prune a modified AlexNet CNN with the Kaggle Cats vs Dogs dataset using Caffe and the Xilinx DNNDK tools.
ML SSD PASCAL Caffe Tutorial (UG1340)	Train, quantize, and compile SSD using PASCAL VOC 2007/2012 datasets with the Caffe framework and DNNDK tools, then deploy on a Xilinx ZCU102 target board.
DPU Integration Lab (UG1350)	Build a custom system that utilizes the Xilinx Deep Learning Processor (DPU) IP to accelerate machine learning algorithms.
Yolov3 Tutorial with Darknet to Caffe Converter and Xilinx DNNDK (UG1334)	Use the Yolov3 example, which converts the Darknet model to Caffe model and uses the DNNDK tool chain for quantization, compilation, and deployment on the FPGA.
MNIST Classification with TensorFlow (UG1337)	Learn the DNNDK v3.0 TensorFlow design process for creating a compiled `.elf` file that is ready for deployment on the Xilinx® DPU accelerator from a simple network model built using Python. This tutorial uses the MNIST test dataset.
CIFAR10 Classification with TensorFlow (UG1338)	Learn the DNNDK v3.0 TensorFlow design process for creating a compiled `.elf` file that is ready for deployment on the Xilinx® DPU accelerator from a simple network model built using Python. This tutorial uses the CIFAR-10 test dataset.

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