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docs(readme): fix examples list formatting #2029

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3 changes: 1 addition & 2 deletions README.md
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Expand Up @@ -91,10 +91,9 @@ for end-to-end examples. It includes tutorial notebooks such as:

It also includes example scripts such as:

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 Sequential Variational Autoencoder](https://github.com/tensorflow/probability/tree/main/tensorflow_probability/examples/disentangled_vae.py).
Disentangled representation learning over sequences with variational inference.
* [Bayesian Neural Networks](https://github.com/tensorflow/probability/tree/main/tensorflow_probability/examples/bayesian_neural_network.py).
Neural networks with uncertainty over their weights.
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