diff --git a/Codes/Code-3b.md b/Codes/Code-3b.md
index ee7508c..8f076d2 100644
--- a/Codes/Code-3b.md
+++ b/Codes/Code-3b.md
@@ -38,6 +38,7 @@ from sklearn.metrics import confusion_matrix, classification_report
 # Fashion MNIST is built into Keras, downloads automatically on first run
 (X_train, y_train), (X_test, y_test) = tf.keras.datasets.fashion_mnist.load_data()
 
+# --- Offline alternative (comment out tf.keras line above and use this instead) ---
 # import pandas as pd
 # train_df = pd.read_csv('fashion-mnist_train.csv')
 # test_df  = pd.read_csv('fashion-mnist_test.csv')