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Is it easy(possible) to implement RNN? #8
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I think we already have a running example of RNN. |
a kind ping... |
sorry.. let me ping @SerailHydra again. We have a simple LSTM/RNN example with fake data, would that suffice? |
Yes, it sounds helpful!
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Sorry for my late reply. Have been busy for several days. I will send you 2015-03-10 2:37 GMT-04:00 byzhang notifications@github.com:
Hongyu Zhu |
FYI, here is our current code and data for LSTM architecture. Put them in @minerva/: Thanks 2015-03-10 9:38 GMT-04:00 Hongyu Zhu serailhydra@gmail.com:
Hongyu Zhu |
@SerailHydra , did you try to share the code and data as attachment? They are probably filtered by github. Can you checkin them? |
give me your email and I will send them to you directly 2015-03-10 18:23 GMT-04:00 byzhang notifications@github.com:
Hongyu Zhu |
Thanks |
Hi : Will the LSTM code be public? I am interested in taking a look. This is Junli Gu from AMD research, Beijing lab. Thanks! On Wed, Mar 11, 2015 at 7:51 AM, SerailHydra notifications@github.com
Junli Gu--谷俊丽 |
Yes. We have an initiative version now, and we are still working on 2015-03-11 3:06 GMT-04:00 gujunli notifications@github.com:
Hongyu Zhu |
Could you provide a simple example?
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