diff --git a/mlair/model_modules/convolutional_networks.py b/mlair/model_modules/convolutional_networks.py
index e7d1da23f7f9da3a80909ffdbc63ac7efe8a3ae3..0a16be7c8079641dc9752fe5b572e9e2c12a7017 100644
--- a/mlair/model_modules/convolutional_networks.py
+++ b/mlair/model_modules/convolutional_networks.py
@@ -81,7 +81,7 @@ class CNN(AbstractModelClass):
         Build the model.
         """
         x_input = keras.layers.Input(shape=self._input_shape)
-        kernel = (1, 1)
+        kernel = (5, 1)
         pad_size = PadUtils.get_padding_for_same(kernel)
         x_in = Padding2D("SymPad2D")(padding=pad_size, name="SymPad1")(x_input)
         x_in = keras.layers.Conv2D(filters=16, kernel_size=kernel,
@@ -91,8 +91,8 @@ class CNN(AbstractModelClass):
         x_in = keras.layers.Conv2D(filters=32, kernel_size=kernel,
                                    kernel_initializer=self.kernel_initializer,
                                    kernel_regularizer=self.kernel_regularizer)(x_in)
+        x_in = keras.layers.MaxPooling2D(kernel, strides=(1, 1), padding='valid')(x_in)
         x_in = self.activation()(x_in)
-        x_in = Padding2D("SymPad2D")(padding=pad_size, name="SymPad2")(x_in)
         x_in = keras.layers.Conv2D(filters=64, kernel_size=kernel,
                                    kernel_initializer=self.kernel_initializer,
                                    kernel_regularizer=self.kernel_regularizer)(x_in)