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Towards Visual Explanations for Convolutional Neural Networks via Input Resampling
explainable-cnn
Code to accompany the paper "Towards Visual Explanations for Convolutional Neural Networks via Input Resampling", presented at ICML 2017 Workshop on Visualization in Deep Learning.
Please contact blengeri [@] cs.cmu.edu with questions.
Citing
Please cite the following paper:
@article{lengerich2017visual,
title={Visual Explanations for Convolutional Neural Networks via Input Resampling},
author={Lengerich, Benjamin J and Konam, Sandeep and Xing, Eric P and Rosenthal, Stephanie and Veloso, Manuela},
journal={arXiv preprint arXiv:1707.09641},
year={2017}
}
Usage
python run_deconv.py
Dependencies
Used Keras with Theano as backend
Keras: (1.1.0)Theano: (0.9.0dev2)Pillow: (3.3.1)h5py