Tutorials

There are tutorials for Python users and for BrainScript users.

Python Jupyter Notebook Tutorials

CNTK Python Jupyter notebook tutorials cover a range of different application including image classification, language understanding, reinforcement learning and others.

You can also try out the tutorials live with Azure Notebooks.

Additional Python tutorials:

• The folder Tutorials/NumpyInterop contains a simple example of how to use numpy arrays as input for CNTK training and evaluation.
• 'Build your own image classifier using Transfer Learning' provides two examples for custom image classifiers using transfer learning.

BrainScript Tutorials

• Getting Started: Simple Logistic Regression and multi-class classification
• Image Recognition: Image recognition on CIFAR-10 with Convolutional and Residual Networks
• Language Understanding with ATIS: Slot tagging and intent classification with Recurrent Networks
• Object Detection using Fast R-CNN: Object detection in images using the Fast R-CNN algorithm