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Tutorials
Chris Basoglu edited this page Jan 20, 2017
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There are tutorials for Python users and for BrainScript users.
CNTK Python Jupyter notebooks tutorials cover a range of different application including image classification, language understanding, reinforcement learning and others.
Additionally, the folder Tutorials/NumpyInterop contains a simple example of how to use numpy arrays as input for CNTK training and evaluation.
You can also try out the tutorials live with Azure Notebooks.
- 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