THE FUTURE IS HERE

How to Train Your Models in the Cloud

Let’s discuss whether you should train your models locally or in the cloud. I’ll go through several dedicated GPU options, then compare three cloud options; AWS, Google Cloud, and FloydHub. I was not endorsed by anyone for this.

Code for this video:
https://github.com/floydhub/fast-style-transfer

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High Budget GPU: Titan XP https://www.amazon.com/NVIDIA-GeForce-Pascal-GDDR5X-900-1G611-2500-000/dp/B01JLKP3IS

Medium Budget GPU: https://www.amazon.com/MSI-GAMING-GTX-1060-6G/dp/B01IEKYD5U

Small Budget GPU: https://www.amazon.com/dp/B01MF7EQJZ

Build a Deep Learning machine:
https://medium.com/@ncondo/build-a-deep-learning-rig-for-800-4434e21a424f
https://medium.com/towards-data-science/building-your-own-deep-learning-box-47b918aea1eb
https://www.oreilly.com/learning/build-a-super-fast-deep-learning-machine-for-under-1000

More learning resources:
http://www.infoworld.com/article/3179785/cloud-computing/aws-vs-azure-vs-google-cloud-which-free-tier-is-best.html
https://thehftguy.com/2016/06/15/gce-vs-aws-in-2016-why-you-should-never-use-amazon/
https://medium.com/@davidmytton/aws-vs-google-cloud-flexibility-vs-operational-simplicity-dca4324b03d4
https://news.ycombinator.com/item?id=13659914

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