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commit b906b2e94748f0303f4e4f41e860d882ab434a57 Author: Manik Jindal <manikj@microsoft.com> Date: Tue Dec 5 18:35:02 2017 -0800 Add whl and NuGet package links in README.md commit 5f4ff237c5ee3a449577ec29cbf93d64273c562a Author: Manik Jindal <manikj@microsoft.com> Date: Tue Dec 5 09:48:37 2017 -0800 Bump version 2.3 to 2.3.1 commit 1d0f37072524ad1a6de36bedf43359e0596c7382 Author: Manik Jindal <manikj@microsoft.com> Date: Tue Dec 5 00:26:26 2017 -0800 Add release notes commit 78b941b3e4e8c345bd6e8e45b6180ff624756d27 Author: Manik Jindal <manikj@microsoft.com> Date: Tue Dec 5 00:19:23 2017 -0800 Bump version from 2.3 to 2.3.1
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README.md
# Tutorials
In this folder you find several tutorials both for the CNTK Python API, the Python Functional 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.
### Functional API (still Python)
The FunctionalAPI folder is the staging area for Tutorials written using the Python Functional API.
The plan is to have each Tutorial in this folder translated to a more succinct style in the FunctionalAPI folder.
All FunctionalAPI Tutorials are fully tested, same as the Tutorials here.
## 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 in the [documentation](https://docs.microsoft.com/en-us/cognitive-toolkit/Tutorials).
* Hello World - Logistic Regression ([Details](https://docs.microsoft.com/en-us/cognitive-toolkit/Tutorials))
* Image Hands On ([Details](https://docs.microsoft.com/en-us/cognitive-toolkit/Hands-On-Labs-Image-Recognition))
* SLU (Language Understanding) Hands On ([Details](https://docs.microsoft.com/en-us/cognitive-toolkit/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://docs.microsoft.com/en-us/cognitive-toolkit/Object-Detection-using-Fast-R-CNN))
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