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Srikumar Sastry
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examples/bayesian_active_learning_by_disagreement.py

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"""
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This is a original implementation of the algorithm Bayesian Active Learning by Disagreements.
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(Pl. refer - https://arxiv.org/abs/1112.5745). It calculates the disagreement between an ensemble
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of classifiers and a single classifier using monte carlo estimates.
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"""
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from tensorflow.keras.models import Sequential, Model
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from tensorflow.keras.layers import Conv2D, MaxPooling2D, Dense, Flatten, Dropout
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from tensorflow.keras.optimizers import Adam

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