swh:1:snp:f50ab94432af916b5fb8b4ad831e8dddded77084
Raw File
Tip revision: 9fc3114b9d95b023516a3695d5046eb0723d24c4 authored by Mark Hillebrand on 10 February 2017, 14:40:43 UTC
CNTK_201B_CIFAR-10_ImageHandsOn.ipynb: fix PIL.Image import
Tip revision: 9fc3114
README.md
# CNTK Tuturial: Language Understanding

## Overview

This hands-on lab shows how to implement a recurrent network to process text, for the Air Travel Information Services (ATIS) tasks of slot tagging and intent classification. We will start with a straight-forward embedding followed by a recurrent LSTM. We will then extend it to include neighbor words and run bidirectionally. Lastly, we will turn this system into an intent classifier.

## Tutorial

Please find a detailed tutorial that uses the data and configurations in this folder on out website at [https://github.com/Microsoft/CNTK/wiki/Hands-On-Labs-Language-Understanding](https://github.com/Microsoft/CNTK/wiki/Hands-On-Labs-Language-Understanding)
back to top