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https://github.com/jacobgil/keras-grad-cam

An implementation of Grad-CAM with keras
https://github.com/jacobgil/keras-grad-cam

deep-learning grad-cam keras visualization

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An implementation of Grad-CAM with keras

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## Grad-CAM implementation in Keras ##

Gradient class activation maps are a visualization technique for deep learning networks.

See the paper: https://arxiv.org/pdf/1610.02391v1.pdf

The paper authors torch implementation: https://github.com/ramprs/grad-cam

This code assumes Tensorflow dimension ordering, and uses the VGG16 network in keras.applications by default (the network weights will be downloaded on first use).

Usage: `python grad-cam.py `

##### Examples

![enter image description here](https://github.com/jacobgil/keras-grad-cam/blob/master/examples/boat.jpg?raw=true) ![enter image description here](https://github.com/jacobgil/keras-grad-cam/blob/master/examples/persian_cat.jpg?raw=true)

Example image from the [original implementation](https://github.com/ramprs/grad-cam):

'boxer' (243 or 242 in keras)

![](/examples/cat_dog.png)
![](/examples/cat_dog_242_gradcam.jpg)
![](/examples/cat_dog_242_guided_gradcam.jpg)

'tiger cat' (283 or 282 in keras)

![](/examples/cat_dog.png)
![](/examples/cat_dog_282_gradcam.jpg)
![](/examples/cat_dog_282_guided_gradcam.jpg)