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| 3Classes_bs.cntk | ||
| README.md | ||
| SimpleMapping-3Classes.txt | ||
| SimpleMapping.txt | ||
| Test-3Classes_cntk_text.txt | ||
| Test_cntk_text.txt | ||
| Train-3Classes_cntk_text.txt | ||
| Train_cntk_text.txt | ||
| create_data.py | ||
| lr_bs.cntk | ||
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