diff --git a/test/test_model_modules/test_inception_model.py b/test/test_model_modules/test_inception_model.py
index ae227184eb575b8192ffc008413e327d0aca4ba1..d441925e39c88f9c0dba2a3e811991bb380d61b3 100644
--- a/test/test_model_modules/test_inception_model.py
+++ b/test/test_model_modules/test_inception_model.py
@@ -1,5 +1,6 @@
 import keras
 import pytest
+import re
 
 from src.model_modules.inception_model import InceptionModelBase
 
@@ -20,6 +21,19 @@ class TestInceptionModelBase:
             element = element.input._keras_history[0]
         return element
 
+    @staticmethod
+    def keras_name_part_split(test_value: str, target_value: str, sep='/'):
+        layer_name, layer_type = test_value.split(sep)
+        target_name, target_type = target_value.split(sep)
+        n_layer_name = len(re.findall("_", layer_name))
+        n_target_name = len(re.findall("_", target_name))
+        if (n_layer_name == n_target_name) or (n_layer_name == n_target_name + 1):
+            name_test = target_name in layer_name
+        else:
+            name_test = False
+        type_test = (layer_type == target_type)
+        return name_test and type_test
+
     def test_init(self, base):
         assert base.number_of_blocks == 0
         assert base.part_of_block == 0
@@ -144,16 +158,17 @@ class TestInceptionModelBase:
         concatenated = block._keras_history[0].input
         assert len(concatenated) == 4
         block_1a, block_1b, block_pool1, block_pool2 = concatenated
-        assert block_1a.name == 'Block_1a_act_2/Relu:0'  # <- sometimes keras changes given name (I don't know why yet)
-        assert block_1b.name == 'Block_1b_act_2_tanh/Tanh:0'
-        assert block_pool1.name == 'Block_1c_act_1/Relu:0'
-        assert block_pool2.name == 'Block_1d_act_1/Relu:0'
+        # keras_name_part_split
+        assert self.keras_name_part_split(block_1a.name, 'Block_1a_act_2/Relu:0')
+        assert self.keras_name_part_split(block_1b.name, 'Block_1b_act_2_tanh/Tanh:0')
+        assert self.keras_name_part_split(block_pool1.name, 'Block_1c_act_1/Relu:0')
+        assert self.keras_name_part_split(block_pool2.name, 'Block_1d_act_1/Relu:0')
         assert self.step_in(block_1a._keras_history[0]).name == "Block_1a_3x3"
         assert self.step_in(block_1b._keras_history[0]).name == "Block_1b_5x5"
         assert isinstance(self.step_in(block_pool1._keras_history[0], depth=2), keras.layers.pooling.MaxPooling2D)
         assert isinstance(self.step_in(block_pool2._keras_history[0], depth=2), keras.layers.pooling.AveragePooling2D)
         # check naming of concat layer
-        assert block.name == 'Block_1_Co/concat:0'
+        assert self.keras_name_part_split(block.name, 'Block_1_Co/concat:0')
         assert block._keras_history[0].name == 'Block_1_Co'
         assert isinstance(block._keras_history[0], keras.layers.merge.Concatenate)
         # next block
@@ -164,14 +179,14 @@ class TestInceptionModelBase:
         concatenated = block._keras_history[0].input
         assert len(concatenated) == 3
         block_2a, block_2b, block_pool = concatenated
-        assert block_2a.name == 'Block_2a_act_2/Relu:0'
-        assert block_2b.name == 'Block_2b_act_2_tanh/Tanh:0'
-        assert block_pool.name == 'Block_2c_act_1/Relu:0'
+        assert self.keras_name_part_split(block_2a.name, 'Block_2a_act_2/Relu:0')
+        assert self.keras_name_part_split(block_2b.name, 'Block_2b_act_2_tanh/Tanh:0')
+        assert self.keras_name_part_split(block_pool.name, 'Block_2c_act_1/Relu:0')
         assert self.step_in(block_2a._keras_history[0]).name == "Block_2a_3x3"
         assert self.step_in(block_2b._keras_history[0]).name == "Block_2b_5x5"
         assert isinstance(self.step_in(block_pool._keras_history[0], depth=2), keras.layers.pooling.MaxPooling2D)
         # check naming of concat layer
-        assert block.name == 'Block_2_Co/concat:0'
+        assert self.keras_name_part_split(block.name, 'Block_2_Co/concat:0')
         assert block._keras_history[0].name == 'Block_2_Co'
         assert isinstance(block._keras_history[0], keras.layers.merge.Concatenate)