v0.0.5

• 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

• ADAM optimizer (@cbecker)
• Improved data provider API.
• More documentation.
• Fix a bug in array data iterator (@vchuravy)

v0.0.3

• Model prediction API.
• Model checkpoint loading and saving.
• IJulia Notebook example of using pre-trained imagenet model as classifier.
• Symbol saving and loading.
• NDArray saving and loading.
• Optimizer gradient clipping.
• Model training callback APIs, default checkpoint and speedometer callbacks.
• Julia Array / NDArray data iterator.
• Sphinx documentation system and documents for dynamically imported libmxnet APIs.

v0.0.2

Bugfix

v0.0.1

Initial release.

• Basic libmxnet API.
• Basic documentation, overview and MNIST tutorial.
• Working MNIST and cifar-10 examples, with multi-GPU training.
• Automatic building of libmxnet with BinDeps.jl.