How to use Caffe with Container Station
Introduction
This tutorial explains how to use Container Station with Caffe.
You must first install a graphics card on the NAS and assign it to Container Station before installing Caffe.
Installing Container Station
- Log in to QTS.
- Open App Center.
- Search for Container Station.
- Click Install.
App Center installs Container Station.
About Caffe
Caffe is an open-source deep learning framework developed by Berkeley AI Research (BAIR) and by community contributors. Caffe is released under the BSD 2-Clause license.
You can use the Container Station web or command-line interface to create this framework.
Installing Caffe
- Locate Caffe - 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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Caffe website: http://caffe.berkeleyvision.org/
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Tutorials: http://caffe.berkeleyvision.org/tutorial/
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DIY Deep Learning for Vision with Caffe: https://docs.google.com/presentation/d/1UeKXVgRvvxg9OUdh_UiC5G71UMscNPlvArsWER41PsU/edit#slide=id.p
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Caffe Model Zoo: http://caffe.berkeleyvision.org/model_zoo.html
License
Caffe is released under the BSD 2-Clause license. The BAIR/BVLC reference models are released for unrestricted use.
