История

Wolfgang Manousek 5ecc834722 updating links to old wiki - referencing now the doc site		2017-06-07 15:55:34 +02:00
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CifarConverter.py	Update file to work for both Python 2 and 3.	2016-12-22 17:06:05 -08:00
ImageHandsOn.cntk	Revision based on CR.	2017-01-13 08:52:37 -08:00
ImageHandsOn_Solution1.cntk	Revision based on CR.	2017-01-13 08:52:37 -08:00
ImageHandsOn_Solution2.cntk	Revision based on CR.	2017-01-13 08:52:37 -08:00
ImageHandsOn_Solution3.cntk	Revision based on CR.	2017-01-13 08:52:37 -08:00
ImageHandsOn_Solution4.cntk	Revision based on CR.	2017-01-13 08:52:37 -08:00
ImageHandsOn_Solution5.cntk	Revision based on CR.	2017-01-13 08:52:37 -08:00
ImageHandsOn_Task4_Start.cntk	Revision based on CR.	2017-01-13 08:52:37 -08:00
ImageHandsOn_Task6.cntk	Revision based on CR.	2017-01-13 08:52:37 -08:00
README.md	updating links to old wiki - referencing now the doc site	2017-06-07 15:55:34 +02:00
cifar10.ResNet.cmf	Restructuring examples and tutorials	2016-11-14 16:24:45 +01:00
cifar10.pretrained.cmf	Restructuring examples and tutorials	2016-11-14 16:24:45 +01:00

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