This video walks through an example that shows you how to see which region of an image most influences predictions and gradients when applying Deep Neural Networks for Image Classification. I hope this is a useful introduction for anyone looking to add some Interpretability to their Computer Vision models!
Content Links:
Keras Code Example: https://keras.io/examples/vision/grad...
tf.GradientTape: https://www.tensorflow.org/api_docs/p...
Keras Applications: https://www.tensorflow.org/api_docs/p...
Xception: https://keras.io/api/applications/xce...
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