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Fixed Step Fusing link and corrected typos in Keras guide #2371

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Fixed Step Fusing link and corrected typos in Keras guide #2371

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6 changes: 3 additions & 3 deletions site/en/guide/keras.md
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Expand Up @@ -77,14 +77,14 @@ The `tf.keras.Model` class features built-in training and evaluation methods:

These methods give you access to the following built-in training features:

* [Callbacks](https://www.tensorflow.org/api_docs/python/tf/keras/callbacks).
* [Callbacks](https://www.tensorflow.org/api_docs/python/tf/keras/callbacks):
You can leverage built-in callbacks for early stopping, model checkpointing,
and [TensorBoard](https://www.tensorflow.org/tensorboard) monitoring. You can
also
[implement custom callbacks](https://www.tensorflow.org/guide/keras/writing_your_own_callbacks).
* [Distributed training](https://www.tensorflow.org/guide/keras/distributed_training).
* [Distributed training](https://www.tensorflow.org/guide/keras/distributed_training):
You can easily scale up your training to multiple GPUs, TPUs, or devices.
* Step fusing. With the `steps_per_execution` argument in
* [Step fusing](https://www.tensorflow.org/api_docs/python/tf/keras/Model#compile): With the `steps_per_execution` argument in
`tf.keras.Model.compile`, you can process multiple batches in a single
`tf.function` call, which greatly improves device utilization on TPUs.

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