report

main.py

@@ -50,15 +50,13 @@ test_data = test_data.prefetch(buffer_size=AUTOTUNE)
 
 #Data Augmentation
 data_augmentation = tf.keras.Sequential([
-    tf.keras.layers.RandomFlip('horisontal'),
+    tf.keras.layers.RandomFlip('horizontal'),
     tf.keras.layers.RandomRotation(0.2)
     ])
 
-#Rescale Pixel Values
+#Preprocessing
 preprocess_input = tf.keras.applications.mobilenet_v3.preprocess_input
 
-rescale = tf.keras.layers.Rescaling(1./127.5, offset=-1)
-
 #Create Base Model From MobileNetV3
 IMG_SHAPE = IMG_SIZE + (3,)
 base_model = tf.keras.applications.MobileNetV3Large(

test.py

@@ -0,0 +1,4 @@
+#Load model
+#Load test data
+#Test
+#Print results