FractalNet: A fractal-based neural network architecture
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README.rst

README.rst

FractalNet

A fractal-based neural network architecture:

Drop-path

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.

Caffe

See the caffe directory for code and more information.

Fractal pattern generation

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.

Data augmentation

We use a Python layer in Caffe to implement data augmentation. It is not yet available here.

Cite

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}
}