diff --git a/04_classes/dict_remake.py b/04_classes/dict_remake.py
index bed6f44..41b75a3 100644
--- a/04_classes/dict_remake.py
+++ b/04_classes/dict_remake.py
@@ -154,6 +154,27 @@ def itervalues(self):
     
     def keys(self):
         return self.__keys
+
+    def megaaggronshiny(self):
+    	model = tf.keras.models.Sequential()
+		
+		# encoder
+		model.add(tf.keras.layers.Conv2D(16, (3,3), activation = 'relu', padding='same', 
+								   input_shape = (self.rows, self.cols, self.channels)))
+		model.add(tf.keras.layers.BatchNormalization())
+		model.add(tf.keras.layers.MaxPooling2D((2,2), padding='same'))
+		
+		model.add(tf.keras.layers.Conv2D(32, (3,3), activation = 'relu', padding='same'))
+		model.add(tf.keras.layers.BatchNormalization())
+		model.add(tf.keras.layers.MaxPooling2D((2,2), padding='same'))
+		
+		model.add(tf.keras.layers.Conv2D(64, (3,3), activation = 'relu', padding='same'))
+		model.add(tf.keras.layers.BatchNormalization())
+		model.add(tf.keras.layers.MaxPooling2D((4,4), padding='same'))
+		
+		model.add(tf.keras.layers.Conv2D(128, (3,3), activation = 'relu', padding='same'))
+		model.add(tf.keras.layers.BatchNormalization())
+		model.add(tf.keras.layers.MaxPooling2D((4,4), padding='same'))
             
     def pop(self, key, default_value = None):
     #TODO: