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Try Caffe pre-installed on a VirtualBox image

A previous post showed beginners how to try out deep learning libraries by

  1. using an Amazon Machine Image (AMI) pre-installed with deep learning libraries
  2. setting up a Jupyter notebook server to play with said libraries

If you have VirtualBox and Vagrant, you can follow a similar procedure on your own computer. The advantage is that you can develop locally, then deploy on an expensive AWS EC2 gpu instance when your scripts are ready.
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Start deep learning with Jupyter notebooks in the cloud

Want a quick and easy way to play around with deep learning libraries? Puny GPU got you down? Thanks to Amazon Web Services (AWS) — specifically, AWS Elastic Compute Cloud (EC2) — no data scientist need be left behind.

Jupyter/IPython notebooks are indispensable tools for learning and tinkering. This post shows how to set up a public Jupyter notebook server in EC2 and then access it remotely through your web browser, just as you would if you were using a notebook launched from your own laptop.
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