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CNN Heat Maps: Gradients vs. DeconvNets vs. Guided Backpropagation

glassboxmedicine.com · published 6 October 2019

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https://arxiv.org/abs/1810.03292
arxiv.org
https://arxiv.org/abs/1312.6034
arxiv.org
https://arxiv.org/abs/1311.2901
arxiv.org
https://arxiv.org/abs/1412.6806
arxiv.org
https://github.com/Lasagne/Recipes/blob/master/examples/Saliency%20Maps%20and%20Guided%20Backpropagation.ipynb
github.com
https://www.quora.com/How-does-a-deconvolutional-neural-network-work
quora.com
https://github.com/tensorflow/tensorflow/issues/256
github.com
https://github.com/tensorflow/tensorflow/blob/1d76583411038767f673a0c96174c80eaf9ff42f/tensorflow/python/ops/nn_ops.py
github.com
Deconvolution and Checkerboard Artifacts Read at the source ↗
distill.pub
https://towardsdatascience.com/review-deconvnet-unpooling-layer-semantic-segmentation-55cf8a6e380e
towardsdatascience.com
https://datascience.stackexchange.com/questions/6107/what-are-deconvolutional-layers
datascience.stackexchange.com
https://github.com/utkuozbulak/pytorch-cnn-visualizations
github.com
https://www.cs.toronto.edu/~guerzhoy/321/lec/W07/HowConvNetsSee.pdf
cs.toronto.edu
https://arxiv.org/pdf/1412.6806.pdf
arxiv.org
https://datascience.stackexchange.com/questions/19272/deep-neural-network-backpropogation-with-relu
datascience.stackexchange.com
Elsewhere on glassboxmedicine.com (3)