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From Indhu <indhubhara...@gmail.com>
Subject Re: [Launch Announcement] Keras 2 with Apache MXNet (incubating) backend
Date Tue, 22 May 2018 16:30:02 GMT
This is great. Thanks to everybody involved.


On Tue, May 22, 2018, 9:15 AM sandeep krishnamurthy <skm@apache.org> wrote:

> Hello MXNet community,
>
> Keras users can now use the high-performance MXNet deep learning engine for
> the distributed training of convolutional neural networks (CNNs) and
> recurrent neural networks (RNNs). With an update of a few lines of code,
> Keras developers can increase training speed by using MXNet's multi-GPU
> distributed training capabilities. Saving an MXNet model is another
> valuable feature of the release. You can design in Keras, train with
> Keras-MXNet, and run inference in production, at-scale with MXNet.
>
> From our initial benchmarks, CNNs with Keras-MXNet is up to 3X faster on
> GPUs compared to the default backend. See the benchmark module
> <https://github.com/awslabs/keras-apache-mxnet/tree/master/benchmark> for
> more details.
>
> RNN support in this release is experimental with few known
> issues/unsupported functionalities. See using RNN with Keras-MXNet
> limitations and workarounds doc
> <
> https://github.com/awslabs/keras-apache-mxnet/blob/master/docs/mxnet_backend/using_rnn_with_mxnet_backend.md
> >
> for more details.
>
> See Release Notes
> <https://github.com/awslabs/keras-apache-mxnet/releases/tag/v2.1.6> for
> more details on unsupported operators and known issues. We will continue
> our efforts in the future releases to close the gaps.
>
> Thank you for all the contributors - Lai Wei <https://github.com/roywei>,
> Karan
> Jariwala <https://github.com/karan6181/>, Jiajie Chen
> <https://github.com/jiajiechen>, Kalyanee Chendke <
> https://github.com/kalyc>,
> Junyuan Xie <https://github.com/piiswrong>
>
> We welcome your contributions -
> https://github.com/awslabs/keras-apache-mxnet. Here is the issue with the
> list of operators to be implemented. Do check it out and create a PR -
> https://github.com/awslabs/keras-apache-mxnet/issues/18
>
> Best,
> Sandeep
>

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