Update metrics.md with references to losses.md
Update metrics.md with a better reference to the losses.md page, in terms of losses
@@ -17,7 +17,7 @@ model.compile(loss='mean_squared_error',
metrics=[metrics.mae, metrics.categorical_accuracy])
```
-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.
+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 may use any of the loss functions as a metric function.
You can either pass the name of an existing metric, or pass a Theano/TensorFlow symbolic function (see [Custom metrics](#custom-metrics)).
@@ -36,6 +36,8 @@ You can either pass the name of an existing metric, or pass a Theano/TensorFlow
{{autogenerated}}
+In addition to the metrics above, you may use any of the loss functions described in the [loss function](/losses) page as metrics.
+
----
## Custom metrics
