========
Examples
========
All of examples in `here`_

.. _`here`: https://github.com/darkonhub/darkon-examples

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darkon.Influence
----------------
Cifar-10, ResNet

- `Upweighting Influence`_
- `Mislabel detection with all of layers`_
- `Mislabel detection with one top layer`_

.. _`Upweighting Influence`: http://nbviewer.jupyter.org/github/darkonhub/darkon-examples/blob/master/cifar10-resnet/influence_cifar10_resnet.ipynb
.. _`Mislabel detection with all of layers`: http://nbviewer.jupyter.org/github/darkonhub/darkon-examples/blob/master/cifar10-resnet/influence_cifar10_resnet_mislabel_all_layers.ipynb
.. _`Mislabel detection with one top layer`: http://nbviewer.jupyter.org/github/darkonhub/darkon-examples/blob/master/cifar10-resnet/influence_cifar10_resnet_mislabel_one_layer.ipynb

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darkon.Gradcam
--------------
ImageNet, ResNet

- `Gradcam & Guided Gradcam for image`_

Sentence polarity dataset, cnn text classification 

- `Heatmap for text`_

.. _`Gradcam & Guided Gradcam for image`: http://nbviewer.jupyter.org/github/darkonhub/darkon-examples/blob/master/gradcam/GradcamDemo.ipynb

.. _`Heatmap for text`: http://nbviewer.jupyter.org/github/darkonhub/darkon-examples/blob/master/gradcam/GradcamDemoSequence.ipynb