How to use the Microsoft Cognitive Toolkit with Container Station
Introduction
This tutorial explains how to use Container Station with Microsoft Cognitive Toolkit (CNTK).
You must first install a graphics card on the NAS and assign it to Container Station before installing CNTK.
About Microsoft Cognitive Toolkit
The Microsoft Cognitive Toolkit (CNTK) is an open-source toolkit for commercial-grade distributed deep learning. It uses a series of computational steps via a directed graph to describe neural networks.
You can use the Container Station web or command-line interface to create this framework.
Installing Container Station
- Log in to QTS.
- Open App Center.
- Search for Container Station.
- Click Install.
App Center installs Container Station.
Installing Microsoft Cognitive Toolkit
- Locate CNTK-GPU on the list and then click Install.
The Create Container window opens.
- Specify the container name.
Note:The name must start with a letter or number and can only contain the following characters:
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Letters: Upper case (A to Z) and lower case (a to z)
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Numbers: 0 to 9
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Special characters: hyphen (-), underscore (_), or period (.)
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- Enable Use GPU resource to run container.
- Optional: Go to Shared Folders and then mount a NAS folder.
- Click Create.
Container Station creates the container.
Suggested Reading
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Microsoft Cognitive Toolkit documentation: https://docs.microsoft.com/en-us/cognitive-toolkit/
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Tutorials: https://docs.microsoft.com/en-us/cognitive-toolkit/tutorials
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CNTK Pre-trained Models: https://github.com/Microsoft/CNTK/tree/master/PretrainedModels
License
Microsoft Cognitive Toolkit (CNTK) is licensed under an MIT license.
