JuliaLang/METADATA.jl — pull request #1838 by pluskid (2014-12-10 02:53:27+00:00)
Title: Mocha.jl v0.0.4

[Mocha.jl](https://github.com/pluskid/Mocha.jl) v0.0.4 release

## v0.0.4 2014.12.09

* Network
* Parameter (l2-norm) constraints (@stokasto)
* Random shuffling for HDF5 data layer
* ConcatLayer
* Infrastructure
* Momentum policy (@stokasto)
* Save training statistics to file and plot tools (@stokasto)
* Coffee breaks now have a coffee lounge
* Auto detect whether CUDA kernel needs update
* Stochastic Nesterov Accelerated Gradient Solver
* Solver refactoring:
* Behaviors for coffee breaks are simplified
* Solver state variables like iteration now has clearer semantics
* Support loading external pre-trained models for fine-tuning
* Support explicit weight-sharing layers
* Behaviors of layers taking multiple inputs made clear and unit-tested
* Refactoring:
* Removed the confusing `System` type
* `CuDNNBackend` renamed to `GPUBackend`
* Cleaned up `cuBLAS` API (@stokasto)
* Layers are now organized by characterization properties
* Robustness
* Various explicit topology verifiecations for `Net` and unit tests
* Increased unit test coverage for rare cases
* Updated dependency to HDF5.jl 0.4.7
* Documentation
* A new MNIST example using fully connected and dropout layers (@stokasto)
* Reproducible MNIST results with fixed random seed (@stokasto)
* Tweaked IJulia Notebook image classification example
* Document for solvers and coffee breaks