0.7.2

Added variational autoencoder Link
Activation function refactor
- Activation functions are now an interface Link
- Configuration now via enumeration, not via String (see examples - Link)
- Custom activation functions now supported Link
- New activation functions added: hard sigmoid, randomized leaky rectified linear units (RReLU)
Multiple fixes/improvements for Keras model import
Added P-norm pooling for CNNs (option as part of SubsamplingLayer configuration)
Iteration count persistence: stored/persisted properly in model configuration + fixes to learning rate schedules for Spark network training
LSTM: gate activation function can now be configured (previously: hard-coded to sigmoid)
UI:
- Added Chinese translation
- Fixes for UI + pretrain layers
- Added Java 7 compatible stats collection compatibility Link
- Improvements in front-end for handling NaNs
- Added UIServer.stop() method
- Fixed score vs. iteration moving average line (with subsampling)
Solved Jaxb/Jackson issue with Spring Boot based applications
RecordReaderDataSetIterator now supports NDArrayWritable for the labels (set regression == true; used for multi-label classification + images, etc)

0.7.1 -> 0.7.2 Transition Notes

Activation functions (built-in): now specified using Activation enumeration, not String (String-based configuration has been deprecated)