https://github.com/Microsoft/CNTK
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Tip revision: 809b30c3b454d0c0274251a956f890b8cb7a71da authored by Amit Agarwal on 13 December 2016, 21:58:26 UTC
CNTK parallel training: Enable CUDA aware MPI use for simple gradient aggregator
Tip revision: 809b30c
README.md
# CNTK Tuturial: Logistic regression and multiclass classification

## Overview

In this tutorial we will walk through several complete CNTK examples, showing 
* how to describe a network in our network-description language BrainScript; 
* how to set the learning parameters; and 
* how to read in, and write out, data

We will start with a simple implementation of binary classification using the linear model Logistic Regression. From there, we will expand to multiclass classification towards the end of this tutorial.

## 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/Tutorial](https://github.com/Microsoft/CNTK/wiki/Tutorial)
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