Fixed a typo (an->a)
@@ -17,7 +17,7 @@ model.compile(loss='mean_squared_error',
metrics=[metrics.mae, metrics.categorical_accuracy])
```
-A metric function is similar to an [loss function](/losses), except that the results from evaluating a metric are not used when training the model.
+A metric function is similar to a [loss function](/losses), except that the results from evaluating a metric are not used when training the model.
You can either pass the name of an existing metric, or pass a Theano/TensorFlow symbolic function (see [Custom metrics](#custom-metrics)).
