Please check out this new tutorial <http://mxnetjl.readthedocs.org/en/latest/tutorial/char-lstm.html> on training a char-level LSTM recurrent neural network (RNN) to generate random sentences from arbitrary domain.
MXNet.jl <https://github.com/dmlc/MXNet.jl> is a flexible and efficient deep learning library in Julia. Here are the main changes since the last announced version: v0.0.5 (2015.11.14) - char-lstm example. - Network visualization via GraphViz. - NN-factory for common models. - Convenient @nd_as_jl macro to work with NDArray as Julia Arrays. - Refactoring: Symbol -> SymbolicNode. - More evaluation metrics (@vchuravy, @Andy-P) <https://github.com/dmlc/MXNet.jl/blob/master/NEWS.md#v004-20151109>v0.0.4 (2015.11.09) - ADAM optimizer (@cbecker) - Improved data provider API. - More documentation. - Fix a bug in array data iterator (@vchuravy) enjoy! -- pluskid
