We've added lots of new features since release v1.0: New layers: we now support batch normalization, highway layers, and GRUs Regression tests with Travis CI Test scripts to compare Keras NNs evaluation with lwtnn Also quite a lot of refactoring: The classes have been split into "low-level" code in Stack and "high-level" interfaces in LightweightNeuralNetwork The recurrent classes have been merged into Stack and LightweightNeuralNetwor
Improvements Outputs are now changed to use suffix tags instead of prefix. All programs now can han...
Improvements Outputs are now changed to use suffix tags instead of prefix. All programs now can han...
Improvements Outputs are now changed to use suffix tags instead of prefix. All programs now can han...
The main improvement in version 2.1 is that now support the Keras functional API in the Graph and Li...
This release fixes a number of bugs: Properly handle InputLayer in Keras Sequential models (thanks ...
This release adds several new features: Inputs are read into LightweightGraph lazily. In some cases...
This adds a few new features and bug fixes: Add SimpleRNN layer (thanks @laurilaatu) Add Python 3.1...
Changes since the last release: Add (some) support for ELUs (thanks @demarley) Sequence inputs now ...
This release is a major improvement when building with CMake: CMake can automatically install Eigen...
Main changes since the previous release: Added the ability for Graph and LightweightGraph to return...
Changes since the last release: Various tweaks to the test executables Fix bug where Softmax could ...
This release adds a few minor bug-fixes and style improvements to the base release
This is a minor update from version 2.2 Improvements: Added support for time distributed dense l...
This release introduces several parameterized activation functions: The old ELU function had a hard...
What's Changed Adaptive threshold acceptance by @TeoSkondras in https://github.com/N-Wouda/ALNS/pul...
Improvements Outputs are now changed to use suffix tags instead of prefix. All programs now can han...
Improvements Outputs are now changed to use suffix tags instead of prefix. All programs now can han...
Improvements Outputs are now changed to use suffix tags instead of prefix. All programs now can han...
The main improvement in version 2.1 is that now support the Keras functional API in the Graph and Li...
This release fixes a number of bugs: Properly handle InputLayer in Keras Sequential models (thanks ...
This release adds several new features: Inputs are read into LightweightGraph lazily. In some cases...
This adds a few new features and bug fixes: Add SimpleRNN layer (thanks @laurilaatu) Add Python 3.1...
Changes since the last release: Add (some) support for ELUs (thanks @demarley) Sequence inputs now ...
This release is a major improvement when building with CMake: CMake can automatically install Eigen...
Main changes since the previous release: Added the ability for Graph and LightweightGraph to return...
Changes since the last release: Various tweaks to the test executables Fix bug where Softmax could ...
This release adds a few minor bug-fixes and style improvements to the base release
This is a minor update from version 2.2 Improvements: Added support for time distributed dense l...
This release introduces several parameterized activation functions: The old ELU function had a hard...
What's Changed Adaptive threshold acceptance by @TeoSkondras in https://github.com/N-Wouda/ALNS/pul...
Improvements Outputs are now changed to use suffix tags instead of prefix. All programs now can han...
Improvements Outputs are now changed to use suffix tags instead of prefix. All programs now can han...
Improvements Outputs are now changed to use suffix tags instead of prefix. All programs now can han...