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August 09, 2016


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It’s worth to note that H2O is another framework of DL as well but w/o GPU support now.
And, it’s a tradeoff between performance and flexibility for DL framework.
One example in below blog post which shows the native R DL code w/ GPU backend acceleration.


You are using some old TensorFlow release. It is no longer slow and it supports multi machine training. Operations can also be easily defined in Python and control ops are no longer experimental.

Would you please put your benchmarking code on GitHub and link back here in a comment?

Excellent post Anusha. Very informative. Do you mind I re-post this along with part 2 on my platform www.gladwinanalytics.com ? It would be greatly useful to tens and thousands of Gladwin Analytics users.

Anandh Shanmugaraj

Thanks for the comments.

Daisy - I tried to compare open-source frameworks only. I haven't played much with H2O, thanks for posting the links.

Andrew - Ahh! Thanks for pointing. I bench-marked TensorFlow sometime back, I need to update to new version.

Dale Smith - The plan is to make all codes available through Github. Its a work in progress, and I'll make it available once I have some newer version results.

Anandh Shanmugaraj - Feel free to re-post.

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