Structure Adaption Framework
A framework that supports growing and pruning of neural networks, allowing optimization of the architecture while training and enabling all kinds of experiments on dynamic neural networks.
- Delivers all adaptable network structures in a convenient form
- Removes and adds specified neurons to layers
- Removes and adds (multiple) layers in complex arrangements, in sequence or in parallel
- Implemented on top of TensorFlow
