Getting started with TensorFlow Probability from R
This article is originally published at https://blogs.rstudio.com/tensorflow/TensorFlow Probability offers a vast range of functionality ranging from distributions over probabilistic network layers to probabilistic inference. It works seamlessly with core TensorFlow and (TensorFlow) Keras. In this post, we provide a short introduction to the distributions layer and then, use it for sampling and calculating probabilities in a Variational Autoencoder.
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This article is originally published at https://blogs.rstudio.com/tensorflow/
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