Time series forecasting using LSTM

[26medias]

Hi,

Thanks for those examples, they are very useful.

If you are still working on more examples, it'd be awesome to have an example of time series forecasting using LSTM. There's a lot of search for this, and no working example so far.

It's mostly the preparation of the input data that is confusing for me.

[hunkim]

I think it's a very good idea. Do you have some data for that?

[26medias]

A simple sin?
It's an easy signal, easy to train with low error.

A Keras tutorial actually uses a sin for their example:
http://danielhnyk.cz/predicting-sequences-vectors-keras-using-rnn-lstm/

[hunkim]

Sounds good. I'll look into it. BTW, if you can come up with a PR, it would be also wonderful.

[26medias]

PR?

[hunkim]

I meant a pull request. :-)

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PR?

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[26medias]

Oh ok :)

I don't have anything to contribute at the moment.
I'm still in the transition from JS to Python, my code is not pretty.

I wish there was a good bridge to use TF in NodeJS :)

[nlintz]

Before I started machine learning I was a node hacker so I feel your pain. Karpathy wrote some pretty cool convnet stuff for javascript which I'd encourage you to check out if you have the time.
http://cs.stanford.edu/people/karpathy/convnetjs/

[26medias]

I already played with it quite a bit (https://github.com/26medias/Kobol)
But it's very slow to train. Being able to use GPUs is much more efficient to test models faster.