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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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