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Tip revision: 2a6d6e7b6776e87b00e85858838ea22cf4e848a0 authored by Wayne Xiong on 16 April 2017, 08:28:42 UTC
Enable LR auto adjust for more scenarios (with interval 1)
Tip revision: 2a6d6e7
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)
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