swh:1:snp:f50ab94432af916b5fb8b4ad831e8dddded77084
Raw File
Tip revision: 6d4d48421f8f6edb2ef70360c03ddbd08e747df9 authored by Spandan Tiwari on 12 June 2018, 19:59:11 UTC
Fixing missing shape attributue in output node of ONNX models. Better error reporting.
Tip revision: 6d4d484
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
back to top