In this video i show how you can use the shap library in python to interpret your image classification models. Most deep learning neural networks are hard to interpret and in image classifier, you cannot understand which feature of image played a role in determining the output.
In this tutorial, i interpret the ResNet 50 deep learning model that is trained on the imagenet classification problem.
Orignal Code Documentation: https://shap.readthedocs.io/en/latest/example_notebooks/image_examples/image_classification/Multi-class%20ResNet50%20on%20ImageNet%20%28TensorFlow%29.html
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