diff --git a/README.md b/README.md
index f3f1d77c095a24c008b65eabb0c4d4b248a7b7db..90c1b7b2799fd1e1916f21da0bcbc475a5b542c0 100644
--- a/README.md
+++ b/README.md
@@ -877,6 +877,7 @@ All predefined methods start with a capital letter and all constructed methods h
   * **networkPrefix** (string, required): name of the network to load. This is a prefix of the file names, e.g. for Gluon there willl be two files (symbol and params) wich start with networkName- (the prefix would be networkName- with the -) followed by epoch number (param file) and file endings.
   * **numInputs** (integer > 0, required): number of inputs the loaded network expects.
   * **outputShape** (integer tuple > 0, reqiured): The expected shape of the output. If the network does not provide this shape, it it will be transformed with a dense layer and a reshape.
+  * **trainable** (boolean, optional, default=true): whether weights of the imported model must be updated during the training.
 
 
 ## Predefined Unroll Types
diff --git a/pom.xml b/pom.xml
index 0cd5c56e636c7b5a9d5a59d5a509009ef0be8937..45986a49f02b88aef29ac96276c70ea5ed0a80bc 100644
--- a/pom.xml
+++ b/pom.xml
@@ -19,7 +19,7 @@
 
     <groupId>de.monticore.lang.monticar</groupId>
     <artifactId>cnn-arch</artifactId>
-    <version>0.4.9-SNAPSHOT</version>
+    <version>0.4.10-SNAPSHOT</version>
 
     <!-- == PROJECT DEPENDENCIES ============================================= -->
 
diff --git a/src/main/java/de/monticore/lang/monticar/cnnarch/predefined/AllPredefinedLayers.java b/src/main/java/de/monticore/lang/monticar/cnnarch/predefined/AllPredefinedLayers.java
index c80ba9eee6fd73a1d77f36632f458347e27b29f4..843dba281d837a3ae37f72ac68cd716410e5dead 100644
--- a/src/main/java/de/monticore/lang/monticar/cnnarch/predefined/AllPredefinedLayers.java
+++ b/src/main/java/de/monticore/lang/monticar/cnnarch/predefined/AllPredefinedLayers.java
@@ -128,6 +128,7 @@ public class AllPredefinedLayers {
     public static final String NETWORK_PREFIX_NAME = "networkPrefix";
     public static final String NUM_INPUTS_NAME = "numInputs";
     public static final String OUTPUT_SHAPE_NAME = "outputShape";
+    public static final String TRAINABLE = "trainable";
 
     //parameters DotProductSelfAttention
     public static final String SCALE_FACTOR_NAME="scaleFactor";
diff --git a/src/main/java/de/monticore/lang/monticar/cnnarch/predefined/LoadNetwork.java b/src/main/java/de/monticore/lang/monticar/cnnarch/predefined/LoadNetwork.java
index be473829e544ea1f06414fd5e1b399c9768fe5f4..f471083ad11c44379e2de5ecc8fa6e241acccec9 100644
--- a/src/main/java/de/monticore/lang/monticar/cnnarch/predefined/LoadNetwork.java
+++ b/src/main/java/de/monticore/lang/monticar/cnnarch/predefined/LoadNetwork.java
@@ -66,6 +66,11 @@ public class LoadNetwork extends PredefinedLayerDeclaration {
                 new ParameterSymbol.Builder()
                         .name(AllPredefinedLayers.OUTPUT_SHAPE_NAME)
                         .constraints(Constraints.INTEGER_OR_INTEGER_TUPLE, Constraints.POSITIVE)
+                        .build(),
+                new ParameterSymbol.Builder()
+                        .name(AllPredefinedLayers.TRAINABLE)
+                        .constraints(Constraints.BOOLEAN)
+                        .defaultValue(true)
                         .build()));
         declaration.setParameters(parameters);
         return declaration;