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Update vae.py link to an active link #1572

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Jun 7, 2022
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Update vae.py link to an active link #1572

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Update vae.py link to an active link
LukeWood Jun 6, 2022
c690d83
Remove broken links
LukeWood Jun 7, 2022
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4 changes: 0 additions & 4 deletions README.md
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Expand Up @@ -87,15 +87,11 @@ for end-to-end examples. It includes tutorial notebooks such as:

It also includes example scripts such as:

* [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.
* [Disentangled Sequential Variational Autoencoder](https://github.com/tensorflow/probability/tree/main/tensorflow_probability/examples/disentangled_vae.py)
Disentangled representation learning over sequences with variational inference.
* Latent Dirichlet Allocation
([Distributions version](https://github.com/tensorflow/probability/tree/main/tensorflow_probability/examples/latent_dirichlet_allocation_distributions.py),
Mixed membership modeling for capturing topics in a document.
* [Bayesian Neural Networks](https://github.com/tensorflow/probability/tree/main/tensorflow_probability/examples/bayesian_neural_network.py).
Neural networks with uncertainty over their weights.
* [Bayesian Logistic Regression](https://github.com/tensorflow/probability/tree/main/tensorflow_probability/examples/logistic_regression.py).
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