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tqchen avatar tqchen commented on May 20, 2024

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.

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byzhang avatar byzhang commented on May 20, 2024

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

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tqchen avatar tqchen commented on May 20, 2024

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 [email protected] wrote:

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


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

Sincerely,

Tianqi Chen
Computer Science & Engineering, University of Washington

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byzhang avatar byzhang commented on May 20, 2024

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

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huashiyiqike avatar huashiyiqike commented on May 20, 2024

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.

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