To add, I see that Databricks has been busy integrating deep learning more into their product and put out a new article about this.
https://databricks.com/blog/2016/10/27/gpu-acceleration-in-databricks.html <https://databricks.com/blog/2016/10/27/gpu-acceleration-in-databricks.html> An interesting tidbit is at the bottom of the article mentioning TensorFrames. https://github.com/databricks/tensorframes <https://github.com/databricks/tensorframes> Seems like an interesting direction… Cheers, Ben > On Oct 19, 2016, at 9:05 AM, janardhan shetty <janardhan...@gmail.com> wrote: > > Agreed. But as it states deeper integration with (scala) is yet to be > developed. > Any thoughts on how to use tensorflow with scala ? Need to write wrappers I > think. > > > On Oct 19, 2016 7:56 AM, "Benjamin Kim" <bbuil...@gmail.com > <mailto:bbuil...@gmail.com>> wrote: > On that note, here is an article that Databricks made regarding using > Tensorflow in conjunction with Spark. > > https://databricks.com/blog/2016/01/25/deep-learning-with-apache-spark-and-tensorflow.html > > <https://databricks.com/blog/2016/01/25/deep-learning-with-apache-spark-and-tensorflow.html> > > Cheers, > Ben > > >> On Oct 19, 2016, at 3:09 AM, Gourav Sengupta <gourav.sengu...@gmail.com >> <mailto:gourav.sengu...@gmail.com>> wrote: >> >> while using Deep Learning you might want to stay as close to tensorflow as >> possible. There is very less translation loss, you get to access stable, >> scalable and tested libraries from the best brains in the industry and as >> far as Scala goes, it helps a lot to think about using the language as a >> tool to access algorithms in this instance unless you want to start >> developing algorithms from grounds up ( and in which case you might not >> require any libraries at all). >> >> On Sat, Oct 1, 2016 at 3:30 AM, janardhan shetty <janardhan...@gmail.com >> <mailto:janardhan...@gmail.com>> wrote: >> Hi, >> >> Are there any good libraries which can be used for scala deep learning >> models ? >> How can we integrate tensorflow with scala ML ? >> >
