Update site/en/tutorials/keras/regression.ipynb

Author: 8bitmp3

site/en/tutorials/keras/regression.ipynb

@@ -409,7 +409,7 @@
         "\n",
         "Although a model *might* converge without feature normalization, normalization makes training much more stable. "
         "\n",
-        "Note: There is no advantage to normalizing the one-hot features, it is done here for simplicity. Please refer the [Guide](https://www.tensorflow.org/guide/keras/preprocessing_layers) and the [Tutorial](https://www.tensorflow.org/tutorials/structured_data/preprocessing_layers) for more details on how to use the preprocessing layers."
+        "Note: There is no advantage to normalizing the one-hot features, it is done here for simplicity. For more details on how to use the preprocessing layers, refer the [Working with preprocessing layers](https://www.tensorflow.org/guide/keras/preprocessing_layers) guide and the [Classify structured data using Keras preprocessing layers](https://www.tensorflow.org/tutorials/structured_data/preprocessing_layers) tutorial."
       ]
     },
     {