From 2d375908710554a2df6cab827b1328c26c848a50 Mon Sep 17 00:00:00 2001 From: chunduriv <74177924+chunduriv@users.noreply.github.com> Date: Wed, 8 Feb 2023 19:03:48 +0530 Subject: [PATCH] Remove `Variational Autoencoder` Example Remove `Variational Autoencoder` example which was based on Tensorflow Estimator and it is being deprecated for new usage. --- tensorflow_probability/g3doc/overview.md | 2 -- 1 file changed, 2 deletions(-) diff --git a/tensorflow_probability/g3doc/overview.md b/tensorflow_probability/g3doc/overview.md index 5baf0bf9b7..ec5bfb921f 100644 --- a/tensorflow_probability/g3doc/overview.md +++ b/tensorflow_probability/g3doc/overview.md @@ -80,8 +80,6 @@ In addition to the [Python notebook tutorials](https://github.com/tensorflow/probability/blob/main/tensorflow_probability/examples/jupyter_notebooks/){:.external} listed in the navigation, there are some example scripts available: -* [Variational Autoencoders](https://github.com/tensorflow/probability/tree/main/tensorflow_probability/examples/vae.py) - —Representation learning with a latent code and variational inference. * [Vector-Quantized Autoencoder](https://github.com/tensorflow/probability/tree/main/tensorflow_probability/examples/vq_vae.py) —Discrete representation learning with vector quantization. * [Bayesian Neural Networks](https://github.com/tensorflow/probability/tree/main/tensorflow_probability/examples/bayesian_neural_network.py)