H2O's GPU Deep Learning

[arnocandel]

Sneak preview for H2O's Deep Water project:
https://github.com/h2oai/h2o-3/blob/master/examples/deeplearning/notebooks/deeplearning_benchmark_mnist.ipynb

To try this script yourself on Ubuntu 16 with CUDA8, CUDNN5, simply pip install this package: https://slack-files.com/T0329MHH6-F2TN01TUN-b0577b68da

You will also want to install the matching mxnet egg: https://slack-files.com/T0329MHH6-F2PU85GEN-2f4fee68e2

More instructions and links provided here: https://github.com/h2oai/deepwater

Please note that this is not a final version for benchmark purposes, but rather a community preview among friends.

g2.2xlarge: 47s
p2.2xlarge: TBD
2x 10-core Xeon with GTX1080: 26s

Cheers,
Arno

[szilard]

Awesome, and thanks for comments @arnocandel. For now I'm just playing around, I was trying to keep this repo quiet LOL. I've been actually playing with mxnet as well, will need to add that to the repo. Really looking forward for deep water to come out GA - might also try it before that, thanks for the instructions above.