fixed typo

mlair/model_modules/recurrent_networks.py

@@ -110,7 +110,7 @@ class RNN(AbstractModelClass):
                 x_in = self.dropout(self.dropout_rate)(x_in)
 
         if self.add_dense_layer is True:
-            x_in = keras.layers.Dense(min(self._output_shape ** 2, conf[-1]), ame=f"Dense_{len(conf) + 1}")(x_in)
+            x_in = keras.layers.Dense(min(self._output_shape ** 2, conf[-1]), name=f"Dense_{len(conf) + 1}")(x_in)
             x_in = self.activation(name=f"{self.activation_name}_{len(conf) + 1}")(x_in)
         x_in = keras.layers.Dense(self._output_shape)(x_in)
         out = self.activation_output(name=f"{self.activation_output_name}_output")(x_in)