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Remove Edward2 implementation announcement
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noise-contrastive-priors/ncp.ipynb

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"This is exactly what the paper [Noise Contrastive Priors for Functional Uncertainty](http://proceedings.mlr.press/v115/hafner20a.html) does. In this article I'll give an introduction to their approach and demonstrate how it fixes over-confidence in OOD regions. I will again use non-linear regression with one-dimensional inputs as an example and plan to cover higher-demensional inputs in a later article. \n",
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"Application of noise contrastive priors (NCPs) is not limited to Bayesian neural networks, they can also be applied to deterministic neural networks. Here, I'll use a Bayesian neural network and implement it with Tensorflow 2 and [Tensorflow Probability](https://www.tensorflow.org/probability). In a supplementary notebook I plan to provide a higher-level implementation with [Edward2](https://github.com/google/edward2) (coming soon). "
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"Application of noise contrastive priors (NCPs) is not limited to Bayesian neural networks, they can also be applied to deterministic neural networks. Here, I'll use a Bayesian neural network and implement it with Tensorflow 2 and [Tensorflow Probability](https://www.tensorflow.org/probability)."
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