MIScnn release version 1.4
Changelog:
- Started working on foundations for multi-model support (experimental)
- Started working on a dynamic visualizer (work in progress)
- Added smoothing epsilon to Normalization Subfunction
- Added subfunction support for activation_output=True predictions
- Improved Resampling & resize performance
- Some overall quality of life improvements for activation output of predictions
- Fixed learning_rate typo in Neural_Network class
- Added Dictionary_IO support for passing pixel spacing (for resampling)