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From Nick Pentreath <nick.pentre...@gmail.com>
Subject Re: Implementation of RNN/LSTM in Spark
Date Thu, 23 Feb 2017 12:39:33 GMT
The short answer is there is none and highly unlikely to be inside of Spark
MLlib any time in the near future.

The best bets are to look at other DL libraries - for JVM there is
Deeplearning4J and BigDL (there are others but these seem to be the most
comprehensive I have come across) - that run on Spark. Also there are
various flavours of TensorFlow / Caffe on Spark. And of course the libs
such as Torch, Keras, Tensorflow, MXNet, Caffe etc. Some of them have Java
or Scala APIs and some form of Spark integration out there in the community
(in varying states of development).

Integrations with Spark are a bit patchy currently but include the
"XOnSpark" flavours mentioned above and TensorFrames (again, there may be
others).

On Thu, 23 Feb 2017 at 14:23 n1kt0 <nikita.balyschew@googlemail.com> wrote:

> Hi,
> can anyone tell me what the current status about RNNs in Spark is?
>
>
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