Is it easy to implement a RNN?

[byzhang]

Could you please add a simple example if possible?

[tqchen]

RNN was not yet implemented in cxxnet. However, it could be implemented with mshadow easily with matrix operation.

A notable thing about V2 is that we enables natural layer weight sharing by distinguishing layer and connections, this property could be helpful when building up an RNN.

[byzhang]

Do you have an estimation on when will the V2 be public?

[tqchen]

We are on final stages in testing things to make sure things are stable
before pulling into master. You can already use the code in V2-refactor
branch.
On Saturday, March 7, 2015, byzhang notifications@github.com wrote:

Do you have an estimation on when will the V2 be public?

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Reply to this email directly or view it on GitHub
#46 (comment).

Sincerely,

Tianqi Chen
Computer Science & Engineering, University of Washington

[byzhang]

Do you mind to add a RNN example in V2-refactor branch? Thanks!

[huashiyiqike]

I have a RNN Library much like CXXNET, which is also built on top of Mshadow and also implemented LSTM and RTRBM layers. It is at https://github.com/huashiyiqike/NETLAB.