/keras-gradcam-demo

Notebook demo on how to use Keras to classify images with Xception net, and obtain visual explanations with Grad-CAM

Primary LanguageJupyter NotebookMIT LicenseMIT

Keras Grad-CAM demo

Binder

Notebook demo on how to use Keras to classify images with Xception net, and obtain visual explanations with Grad-CAM. Just use the binder link above to launch it!

Alternatively, if you want to run this demo locally, install a python Anaconda distribution and then create the environment using the provided environment file:

conda env create -f environment.yml

After this, log into the environment

conda activate keras-gradcam-demo

and start Jupyter notebook with

jupyter notebook

Open the notebook named keras_gradcam_demo and you are ready to go!