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comment out imagenet-stubs and tf-addons install
Signed-off-by: Arunabh <[email protected]>
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notebooks/expectation_over_transformation_classification_rotation.ipynb

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"This notebook demonstrates the application of ART's tools for expectation over transformation (EoT) sampling in `art.preprocessing.expectation_over_transformation`. Specifically, it shows how to create adversarial examples that are robust against rotation. This notebook follows a tutorial by Anish Athalye (https://www.anishathalye.com/2017/07/25/synthesizing-adversarial-examples/) and code from issue #1004."
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Install ImageNet stubs and [tensorflow-addons](https://www.tensorflow.org/addons)"
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]
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},
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"cell_type": "code",
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"execution_count": 1,
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}
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"source": [
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"%pip install git+https://github.com/nottombrown/imagenet_stubs tensorflow_addons"
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"#%pip install git+https://github.com/nottombrown/imagenet_stubs tensorflow_addons"
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]
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{

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