Tianqi Chen

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I think you are missing the input_shape parameters, currently, we require the user to specify the input shape of the data. Maybe you can checkout https://github.com/dmlc/cxxnet/blob/master/example/MNIST/mnist.py for more details

You need to clone this repo and put it under your env variable python path

Oh, yes.. Can you open a PR on this ? Thanks

Yes , this is done by Calling cuda set device before hanf

see https://github.com/dmlc/cxxnet/tree/master/src for a NOTE On code structure

Unfortunately there was no UML diagram. But I would suggest you to start from the interface headers (ends with .h), which are heavily documented

If you have specific questions on code structure or want to contribute on the code note, I would be happy to answer the questions

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...