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lab3/Part2_BiasAndUncertainty.ipynb

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@@ -123,7 +123,7 @@
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"batch_size = 32\n",
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"\n",
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"# Get the training data: both images from CelebA and ImageNet\n",
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"path_to_training_data = tf.keras.utils.get_file('train_face_2023_v2.h5', 'https://www.dropbox.com/s/b5z1cd317y5u1tr/train_face_2023_v2.h5?dl=1')\n",
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"path_to_training_data = tf.keras.utils.get_file('train_face_2023_perturbed_small.h5', 'https://www.dropbox.com/s/wsdyma8a340k8lw/train_face_2023_perturbed_large.h5?dl=1')\n",
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"# Instantiate a DatasetLoader using the downloaded dataset\n",
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"train_loader = mdl.lab3.DatasetLoader(path_to_training_data, training=True, batch_size=batch_size)\n",
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"test_loader = mdl.lab3.DatasetLoader(path_to_training_data, training=False, batch_size=batch_size)"
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.10"
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"version": "3.9.6 (default, Oct 18 2022, 12:41:40) \n[Clang 14.0.0 (clang-1400.0.29.202)]"
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},
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"vscode": {
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"interpreter": {
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"hash": "31f2aee4e71d21fbe5cf8b01ff0e069b9275f58929596ceb00d14d90e3e16cd6"
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}
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}
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},
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"nbformat": 4,

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