renamed explicite_layer to layer_configuration

mlair/model_modules/fully_connected_networks.py

@@ -73,7 +73,7 @@ class FCN(AbstractModelClass):
     _requirements = ["lr", "beta_1", "beta_2", "epsilon", "decay", "amsgrad", "momentum", "nesterov", "l1", "l2"]
 
     def __init__(self, input_shape: list, output_shape: list, activation="relu", activation_output="linear",
-                 optimizer="adam", n_layer=1, n_hidden=10, regularizer=None, dropout=None, explicite_layers=None,
+                 optimizer="adam", n_layer=1, n_hidden=10, regularizer=None, dropout=None, layer_configuration=None,
                  **kwargs):
         """
         Sets model and loss depending on the given arguments.
@@ -90,7 +90,7 @@ class FCN(AbstractModelClass):
         self.activation = self._set_activation(activation)
         self.activation_output = self._set_activation(activation_output)
         self.optimizer = self._set_optimizer(optimizer, **kwargs)
-        self.layer_configuration = (n_layer, n_hidden) if explicite_layers is None else explicite_layers
+        self.layer_configuration = (n_layer, n_hidden) if layer_configuration is None else layer_configuration
         self._update_model_name()
         self.kernel_initializer = self._initializer.get(activation, "glorot_uniform")
         self.kernel_regularizer = self._set_regularizer(regularizer, **kwargs)