ANN: MXNet.jl v0.0.5, LSTM char-rnn tutorial for generating random sentences

[Chiyuan Zhang]

Please check out this new tutorial on training a char-level LSTM recurrent neural network (RNN) to generate random sentences from arbitrary domain.

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)

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