# 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))