Update site/en/guide/ragged_tensor.ipynb

site/en/guide/ragged_tensor.ipynb

@@ -674,7 +674,7 @@
  "source": [
  "### Keras\n",
  "\n",
- "[tf.keras](https://www.tensorflow.org/guide/keras) is TensorFlow's high-level API for building and training deep learning models. Ragged tensors can be passed as inputs to a Keras model by using ragged tensors between Keras layers, and returning ragged tensors by Keras models. The following example shows a toy LSTM model that is trained using ragged tensors:"
+ "[tf.keras](https://www.tensorflow.org/guide/keras) is TensorFlow's high-level API for building and training deep learning models. It doesn't have ragged support. But it does support masked tensors. So the easiest way to use a ragged tensor in a Keras model is to convert the ragged tensor to a dense tensor, using `.to_tensor()` and then using Keras's builtin masking:"
  ]
  },
  {