diff --git a/modules/deeplearning/espcn.py b/modules/deeplearning/espcn.py
index 2f02c9a268b94ca3e3e91891b93466131b959e51..06abdbfd61021a079a80ff3ef85fea71cda0e092 100644
--- a/modules/deeplearning/espcn.py
+++ b/modules/deeplearning/espcn.py
@@ -419,14 +419,14 @@ class ESPCN:
         if NOISE_TRAINING:
             conv = tf.keras.layers.GaussianNoise(stddev=NOISE_STDDEV)(conv)
 
-        conv = tf.keras.layers.Conv2D(num_filters, kernel_size=5, strides=1, padding=padding, activation=activation)(conv)
-        conv = tf.keras.layers.BatchNormalization()(conv)
-        print(conv.shape)
-
         conv = tf.keras.layers.Conv2D(num_filters, kernel_size=3, strides=1, padding=padding, activation=activation)(conv)
         conv = tf.keras.layers.BatchNormalization()(conv)
         print(conv.shape)
 
+        # conv = tf.keras.layers.Conv2D(num_filters, kernel_size=3, strides=1, padding=padding, activation=activation)(conv)
+        # conv = tf.keras.layers.BatchNormalization()(conv)
+        # print(conv.shape)
+
         conv = tf.keras.layers.Conv2D(num_filters, kernel_size=3, strides=1, padding=padding, activation=None)(conv)
         conv = tf.keras.layers.BatchNormalization()(conv)
         print(conv.shape)