v0.2.0 (2017.01.26)

Drop support for Julia v0.4.
Added support for NVVM.
Updated supported version of MXNet to 0.9.3.
New optimizers (@Arkoniak).

v0.1.0 (2016.09.08)

Track specific libmxnet version for each release.
Migrated documentation system to Documenter.jl (@vchuravy)
Simplified building by using Julia's OpenBlas (@staticfloat)
Freezing parameters (@vchuravy)
Support DType for NDArray (@vchuravy)

v0.0.8 (2016.02.08)

Fix compatability with Julia v0.5.
Fix seg-faults introduced by upstream API changes.

v0.0.7 (2015.12.14)

Fix compatability with Julia v0.4.2 (@BigEpsilon)
Metrics in epoch callbacks (@kasiabozek)

v0.0.6 (2015.12.02)

Variants of Xaiver initializers (@vchuravy)
More arithmetic operators on symbolic nodes
Basic interface for symbolic node attributes (@vchuravy)

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)

v0.0.3 (2015.10.27)

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 (2015.10.23)

Fix a bug in build script that causes Julia REPL to exit.

v0.0.1 (2015.10.23)

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.