diff --git a/modules/deeplearning/icing.py b/modules/deeplearning/icing.py
index 728c6bd07c345a4eded37e79582049d59d984de4..e8f918daf6f754e638d6404090776fbc628ce233 100644
--- a/modules/deeplearning/icing.py
+++ b/modules/deeplearning/icing.py
@@ -437,9 +437,13 @@ class IcingIntensityNN:
 
         fc = build_residual_block(fc, drop_rate, fac*n_hidden, activation, 'Residual_Block_6', doBatchNorm=True)
 
-        # fc = build_residual_block(fc, drop_rate, fac*n_hidden, activation, 'Residual_Block_7', doBatchNorm=True)
-        #
-        # fc = build_residual_block(fc, drop_rate, fac*n_hidden, activation, 'Residual_Block_8', doBatchNorm=True)
+        fc = build_residual_block(fc, drop_rate, fac*n_hidden, activation, 'Residual_Block_7', doBatchNorm=True)
+
+        fc = build_residual_block(fc, drop_rate, fac*n_hidden, activation, 'Residual_Block_8', doBatchNorm=True)
+
+        fc = build_residual_block(fc, drop_rate, fac*n_hidden, activation, 'Residual_Block_9', doBatchNorm=True)
+
+        fc = build_residual_block(fc, drop_rate, fac*n_hidden, activation, 'Residual_Block_10', doBatchNorm=True)
 
         fc = tf.keras.layers.Dense(n_hidden, activation=activation)(fc)
         fc = tf.keras.layers.BatchNormalization()(fc)