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README.md
@@ -87,7 +87,7 @@ for end-to-end examples. It includes tutorial notebooks such as:
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It also includes example scripts such as:
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-* [Variational Autoencoders](https://github.com/tensorflow/probability/tree/main/tensorflow_probability/examples/vae.py).
+* [Variational Autoencoders](https://github.com/tensorflow/probability/tree/main/tensorflow_probability/examples/jupyter_notebooks/Probabilistic_Layers_VAE.ipynb).
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Representation learning with a latent code and variational inference.
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* [Vector-Quantized Autoencoder](https://github.com/tensorflow/probability/tree/main/tensorflow_probability/examples/vq_vae.py).
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Discrete representation learning with vector quantization.
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