This directory contains different scripts for using CNTK.

### CNTK Binary Installers

* `windows/install.ps1`: installation script for installing a Windows CNTK *binary* drop, cf. [here](https://github.com/Microsoft/CNTK/wiki/Automated-binary-install#installation-steps-for-windows).
* `linux/install-cntk.sh`: installation script for installing a Linux CNTK *binary* drop, cf. [here](https://github.com/Microsoft/CNTK/wiki/Automated-binary-install#installation-steps-for-linux).


### CNTK Text format Converters
Two Python Scripts for converting Data to CNTK Text format for using as an input for CNTK Text Format Reader (see https://github.com/microsoft/CNTK/wiki/CNTKTextFormat-Reader).
```
txt2ctf.py 
```
Converts a set of dictionary files and a plain text file to CNTK Text format. Run ```python txt2ctf.py -h``` to see usage instructions. See the comments in the beginning of the script file for the specific usage example. 

```
uci2ctf.py
```
Converts data stored in a text file in UCI format to CNTK Text format. Run ```python uci2ctf.py -h``` to see usage instructions and example. Also see a usage example below:
```
python Scripts/uci2ctf.py --input_file Examples/Image/MNIST/Data/Train-28x28.txt --features_start 1 --features_dim 784 --labels_start 0 --labels_dim 1 --num_labels 10  --output_file Examples/Image/MNIST/Data/Train-28x28_cntk_text.txt
```
```input_file``` – original dataset in the (columnar) UCI format
```features_start``` – index of the first feature column (start parameter in the UCIFastReader config, see https://github.com/Microsoft/CNTK/wiki/UCI-Fast-Reader)
```features_dim``` – number of feature columns (dim parameter in the UCIFastReader config)
```labels_start``` - index of the first label column
```labels_dim``` – number of label columns
```num_labels``` – number of possible label values (labelDim parameter in the UCIFastReader config)
```output_file``` – path and filename of the resulting dataset.