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docs/presentations/deep-learning-on-cloud/index.html

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         - Python
         - Python libraries: Tensorflow, Keras, SKLearn, etc.
         - Jupyter 
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         <img align="center" width="75%" src="img/robojam-application.png">
 
         RoboJam is a Keras project, now deployed as a Flask web application.
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             - keep jupyter sessions around with `screen`
             - tunnel jupyter port with `ssh -L 8888:localhost:8888`
         - Could also use Google Cloud VMs with GPUs for short training runs
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         - [Google's "Cloud Deep Learning VM Image"](https://cloud.google.com/deep-learning-vm/)
         - Comes with `jupyterhub` running to do development in a browser.
         - Expensive for a good machine: K80 GPU 0.45USD/h
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         ## SaaS Architecture on Colab
 
         ![](img/robojam-cloud-architecture-colab.png)
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         ## IaaS Architecture on DigitalOcean
 
         ![](img/robojam-cloud-architecture-vm.png)
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         - [Maximise your GPU Dollars](https://towardsdatascience.com/maximize-your-gpu-dollars-a9133f4e546a)
 
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