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From Wang Wei <wang...@comp.nus.edu.sg>
Subject Re: [jira] [Created] (SINGA-452) Adding the ConvLSTM layer implementation
Date Sun, 05 May 2019 02:39:40 GMT
+1.

It would be better to use implement it as a new layer that combines the
conv and lstm operations here
https://github.com/apache/incubator-singa/blob/master/python/singa/autograd.py

On Sun, May 5, 2019 at 3:29 AM Faouzi Amrouche (JIRA) <jira@apache.org>
wrote:

> Faouzi Amrouche created SINGA-452:
> -------------------------------------
>
>              Summary: Adding the ConvLSTM layer implementation
>                  Key: SINGA-452
>                  URL: https://issues.apache.org/jira/browse/SINGA-452
>              Project: Singa
>           Issue Type: Improvement
>             Reporter: Faouzi Amrouche
>
>
> ConvLSTM is an improved version of the LSTM layer. It replaces the
> traditional matrix multiplications by convolutions. In this new
> implementation, the input transformations and recurrent transformations are
> both convolutional.
>
> This layer has become really important recently and is already supported
> in many existing frameworks (Keras, Tensorflow...etc).
>
>
>
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