New tutorial for using Mocha in the cloud #221
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Catch up to master
This is the very rough draft as I explore how to make this work.
Significant changes to the AWS example, but it remains incomplete.
This commit represents a major step forward in the adding a tutrial for cloud GPU computing with Mocah and Julia. It adapts the documentation and updates the index.rst as well
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Thank you very much! |
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This is the second tutorial enhancement I've submitted to make make the documentation and support for Mocha more complete. I have found the tutorials for Caffe and other established deep learning frameworks difficult for newcomers. I would like to see Mocha include a set of tutorials that demonstrate two essential components.
This tutorial is submitted in support of point 2 above. In order to experiment with deep learning you must have access to GPUs to train deep models efficiently. This tutorial provides step-by-step instructions to get Julia and Mocha running on AWS with their newest GPU Compute instance type, the p2.xlarge so that newcomers can run the Mocha GPUBackend for a modest investment in cloud computing.
This pull request will close issue #220