diff --git a/tutorials/00 - PyTorch Basics/main.py b/tutorials/00 - PyTorch Basics/main.py
index 4c99ea0..17a5070 100644
--- a/tutorials/00 - PyTorch Basics/main.py	
+++ b/tutorials/00 - PyTorch Basics/main.py	
@@ -10,12 +10,12 @@ from torch.autograd import Variable
 
 #========================== Table of Contents ==========================#
 # 1. Basic autograd example 1               (Line 21 to 36)
-# 2. Basic autograd example 2               (Line 39 to 76)
-# 3. Loading data from numpy                (Line 79 to 82)
+# 2. Basic autograd example 2               (Line 39 to 77)
+# 3. Loading data from numpy                (Line 80 to 83)
 # 4. Implementing the input pipline         (Line 86 to 113)
-# 5. Input pipline for custom dataset       (Line 115 to 135)
-# 6. Using pretrained model                 (Line 138 to 152)
-# 7. Save and load model                    (Line 155 to L157) 
+# 5. Input pipline for custom dataset       (Line 116 to 138)
+# 6. Using pretrained model                 (Line 141 to 155)
+# 7. Save and load model                    (Line 158 to 165) 
 
 
 #======================= Basic autograd example 1 =======================#