Closed
Description
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.
Metadata
Metadata
Assignees
Labels
No labels
Projects
Milestone
Relationships
Development
No branches or pull requests
Participants
Activity
hunkim commentedon May 28, 2016
I think it's a very good idea. Do you have some data for that?
26medias commentedon May 28, 2016
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 commentedon May 28, 2016
Sounds good. I'll look into it. BTW, if you can come up with a PR, it would be also wonderful.
26medias commentedon May 28, 2016
PR?
hunkim commentedon May 28, 2016
I meant a pull request. :-)
On Sat, May 28, 2016 at 2:46 PM, Twenty-Six medias, Inc. <
notifications@github.com> wrote:
26medias commentedon May 28, 2016
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 commentedon Jun 3, 2016
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 commentedon Jun 4, 2016
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.