Comments (5)
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.
from cxxnet.
Do you have an estimation on when will the V2 be public?
from cxxnet.
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
from cxxnet.
Do you mind to add a RNN example in V2-refactor branch? Thanks!
from cxxnet.
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.
from cxxnet.
Related Issues (20)
- "invalid model format" when doing predict
- Is the memory something wrong?
- Memory leak run with MSHADOW_DIST_PS?
- Can you give me the config of GoogLeNet?
- Configure question about activtionlayer and split layer HOT 2
- cudnn_convolution_layer : Is it cost a lost of temp memory? HOT 2
- ImageNet Example : train error does not decrease! HOT 23
- Train ImageNet on Windows Server, the error rate dose not decrease HOT 3
- why the const kDataKeyStep equals 4? HOT 5
- Implemetation of #GoogLeNet BN + prelu using #cxxnet?
- compile error on "undefined reference to `google::LogMessage::" HOT 7
- DMAR fault after shuffle the image_list in ImageNet
- problems when training ImageNet HOT 1
- cuDNN failed HOT 1
- cifar10 CNN训练问题 HOT 2
- CNN 训练问题
- CNN样本组织
- CXXNet model to Caffe model conversion HOT 1
- CXXnet build.sh error no matching function for call to ‘unpack_patch2col HOT 1
- error
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