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 <p>Python notebooks:</p>
 
 <ul> 
-	<li>  Chapter 1 - Introduction: <a href="">1.1</a>
-	<li>  Chapter 2 - Supervised learning <a href="">2.1</a>
-	<li>  Chapter 3 - Shallow neural networks <a href="">3.1</a>,<a href="">3.2</a>,<a href="">3.3</a>,<a href="">3.4</a>
-	<li>  Chapter 4 - Deep neural networks <a href="">4.1</a>, 4.2, 4.3 (coming soon)
+	<li>  Chapter 1 - Introduction: <a href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap01/1_1_BackgroundMathematics.ipynb">1.1</a>
+	<li>  Chapter 2 - Supervised learning <a href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap02/2_1_Supervised_Learning.ipynb">2.1</a>
+	<li>  Chapter 3 - Shallow neural networks <a href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap03/3_1_Shallow_Networks_I.ipynb">3.1</a>,<a href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap03/3_2_Shallow_Networks_II.ipynb">3.2</a>,<a href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap03/3_3_Shallow_Network_Regions.ipynb">3.3</a>,<a href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap03/3_4_Activation_Functions.ipynb">3.4</a>
+	<li>  Chapter 4 - Deep neural networks <a href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap04/4_1_Composing_Networks.ipynb">4.1</a>, 4.2, 4.3 (coming soon)
 	<li>  Chapter 5 - Loss functions (coming soon)
 	<li>  Chapter 6 - Training models (coming soon)
 	<li>  Chapter 7 - Gradients and initialization (coming soon)