28 строки
1.6 KiB
Markdown
28 строки
1.6 KiB
Markdown
# Tutorials
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In this folder you find several tutorials both for the CNTK Python API, the Python Functional API, and for BrainScript.
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## Python
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The Python Jupyter notebooks in this folder cover a range of different application including
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image classification, language understanding, reinforcement learning and others.
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Additionally, the folder NumpyInterop contains a simple example of how to use
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numpy arrays as input for CNTK training and evaluation.
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### Functional API (still Python)
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The FunctionalAPI folder is the staging area for Tutorials written using the Python Functional API.
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The plan is to have each Tutorial in this folder translated to a more succinct style in the FunctionalAPI folder.
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All FunctionalAPI Tutorials are fully tested, same as the Tutorials here.
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## BrainScript
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There are four detailed tutorials on how to use CNTK with BrainScript.
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A step-by-step walk through for each of these is provided in the [documentation](https://docs.microsoft.com/en-us/cognitive-toolkit/Tutorials).
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* Hello World - Logistic Regression ([Details](https://docs.microsoft.com/en-us/cognitive-toolkit/Tutorials))
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* Image Hands On ([Details](https://docs.microsoft.com/en-us/cognitive-toolkit/Hands-On-Labs-Image-Recognition))
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* SLU (Language Understanding) Hands On ([Details](https://docs.microsoft.com/en-us/cognitive-toolkit/Hands-On-Labs-Language-Understanding))
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* 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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