# LSTM with convolution instead of matrix multiplication (ConvLSTM)

**URL:** <https://discourse.julialang.org/t/lstm-with-convolution-instead-of-matrix-multiplication-convlstm/86315>\
**Category:** Machine Learning\
**Tags:** lstm, conv\
**Created:** [August 25, 2022, 10:14am UTC](https://discourse.julialang.org/t/lstm-with-convolution-instead-of-matrix-multiplication-convlstm/86315 "2022-08-25T10:14:05Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![Dieter](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/dieter/32/29860_2.png) [@Dieter](https://discourse.julialang.org/u/Dieter)\
**Post date:** [August 25, 2022, 10:14am UTC](https://discourse.julialang.org/t/lstm-with-convolution-instead-of-matrix-multiplication-convlstm/86315/1 "2022-08-25T10:14:05Z")

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Hello Community

I have already used Julia for many tasks but not for machine learning purposes. Now, I would need a LSTM network, which uses internal convolutional operations (not convolved matrices as input). Such a net is called ConvLSTM which is already implemented in Python packages. I would use ConvLSTMs to model short range forecasts for precipitation fields. Details can be found in [publication](https://arxiv.org/pdf/1506.04214.pdf) (equation 3)

Up to now, I did not found hints for be available within the Flux tool. Do somebody know, if such a ConvLSTM is under development in Julia and when it will be available?

Thanks for any comments,  
Dieter

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**Author:** ![ToucheSir](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/touchesir/32/14411_2.png) [@ToucheSir](https://discourse.julialang.org/u/ToucheSir)\
**Post date:** [August 25, 2022, 11:24pm UTC](https://discourse.julialang.org/t/lstm-with-convolution-instead-of-matrix-multiplication-convlstm/86315/2 "2022-08-25T23:24:45Z")

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It is not, to my knowledge. If you or anyone else implements one, I’d be more than happy to help guide them with upstreaming that into Flux itself.