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10 March 2023, 01:01:58 UTC
Revision 5cc66af4ddf6c2ed9574e3e8d7b2ba895cb8da58 authored by Amit Agarwal on 13 December 2016, 06:34:50 UTC, committed by Amit Agarwal on 13 December 2016, 18:12:05 UTC 
CNTK parallel training: Turned off quantization for gradient matrices where row count is too small to benefit from quantization
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Tip revision: 5cc66af4ddf6c2ed9574e3e8d7b2ba895cb8da58 authored by Amit Agarwal on 13 December 2016, 06:34:50 UTC
CNTK parallel training: Turned off quantization for gradient matrices where row count is too small to benefit from quantization
Tip revision: 5cc66af
README.md 
# Tutorials

In this folder you find several tutorials both for the CNTK Python API and for BrainScript. 

## Python

The Python Jupyter notebooks in this folder cover a range of different application including 
image classification, language understanding, reinforcement learning and others. 
Additionally, the folder NumpyInterop contains a simple example of how to use 
numpy arrays as input for CNTK training and evaluation.

## BrainScript

There are four detailed tutorials on how to use CNTK with BrainScript. 
A step-by-step walk through for each of these is provided on the [CNTK wiki](https://github.com/Microsoft/CNTK/wiki/Tutorials).

* Hello World - Logistic Regression ([Details](https://github.com/Microsoft/CNTK/wiki/Tutorial))
* Image Hands On ([Details](https://github.com/Microsoft/CNTK/wiki/Hands-On-Labs-Image-Recognition)) 
* SLU (Language Understanding) Hands On ([Details](https://github.com/Microsoft/CNTK/wiki/Hands-On-Labs-Language-Understanding))
* Object detection using Fast R-CNN ([Code](https://github.com/Microsoft/CNTK/tree/master/Examples/Image/Detection/FastRCNN), [Details](https://github.com/Microsoft/CNTK/wiki/Object-Detection-using-Fast-R-CNN))
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