CNTK/Tutorials/ImageHandsOn
..
CifarConverter.py
ImageHandsOn.cntk
ImageHandsOn_Solution1.cntk
ImageHandsOn_Solution2.cntk
ImageHandsOn_Solution3.cntk
ImageHandsOn_Solution4.cntk
ImageHandsOn_Solution5.cntk
ImageHandsOn_Task4_Start.cntk
ImageHandsOn_Task6.cntk
README.md
cifar10.ResNet.cmf
cifar10.pretrained.cmf

README.md

CNTK Tuturial: Image recognition

Overview

This hands-on lab shows how to implement convolution-based image recognition with CNTK. We will start with a common convolutional image-recognition architecture, add Batch Normalization, and then extend it into a Residual Network (ResNet-20).

Tutorial

Please find a detailed tutorial that uses the data and configurations in this folder on out website at https://docs.microsoft.com/en-us/cognitive-toolkit/Hands-On-Labs-Image-Recognition