swh:1:snp:f50ab94432af916b5fb8b4ad831e8dddded77084
Raw File
Tip revision: 70a5bf683af6e9bfb81103cef32194f8e1ade11e authored by Spandan Tiwari on 01 August 2018, 00:07:12 UTC
Updating input image size requirement to include lower and upper paddingin ConvolveGeometry.
Tip revision: 70a5bf6
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://docs.microsoft.com/en-us/cognitive-toolkit/Tutorials
back to top