A fractal-based neural network architecture:
We provide a reference implementation for the elementwise-mean layer with local drop-path. There is still no public release of local+global, but we suggest implementing this through tying weights.
See the caffe directory for code and more information.
Wiring up a fractal network manually would take hours, so we provide simple Python scripts that will do it for you. See the generation directory for code and more information.
We use a Python layer in Caffe to implement data augmentation. It is not yet available here.
If this is useful to you, please consider citing us:
@article{larsson2016fractalnet,
title={FractalNet: Ultra-Deep Neural Networks without Residuals},
author={Larsson, Gustav and Maire, Michael and Shakhnarovich, Gregory},
journal={arXiv preprint arXiv:1605.07648},
year={2016}
}