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Experiments of Bayesian techniques applied to deep learning

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Bayesian Deep Learning

Implementation of Heteroscedastic Aleatoric Uncertainty from What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision ? (Alex Kendall & Yarin Gal).

The code is written using TensorFlow.

The code used Boston dataset as a support.

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Experiments of Bayesian techniques applied to deep learning

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