Update ToC

Author: mikebo93

chapter_computatioinal_graph/Index.md

@@ -14,3 +14,14 @@ this technology, this chapter explains the following key aspects:
 2.  Generation of static and dynamic computational graphs
 
 3.  Common execution methods of computational graphs
+
+```toc
+:maxdepth: 2
+
+Computational_Graph_Functions
+Computational_Graph_Basics
+Generating_a_Computational_Graph
+Scheduling_and_Executing_Computational_Tasks
+Chapter_Summary
+Further_Reading
+```

chapter_computatioinal_graph/index.md

@@ -0,0 +1,27 @@
+# Computational Graph
+
+In this chapter, we look at the following question: How does a machine
+learning system efficiently execute such a program on hardware? We can
+break this down into three sub-questions: How do we schedule and execute
+the model described by a machine learning program? How do we improve the
+model scheduling and execution efficiency? And can we implement
+automatic gradient computation for updating the model? The key to
+answering these questions is computational graph technology. To explain
+this technology, this chapter explains the following key aspects:
+
+1.  Computational graph basics
+
+2.  Generation of static and dynamic computational graphs
+
+3.  Common execution methods of computational graphs
+
+```toc
+:maxdepth: 2
+
+Computational_Graph_Functions
+Computational_Graph_Basics
+Generating_a_Computational_Graph
+Scheduling_and_Executing_Computational_Tasks
+Chapter_Summary
+Further_Reading
+```

chapter_introduction/index.md

@@ -36,3 +36,14 @@ The chapter aims to achieve the following learning objectives:
 
 4.  Understanding the support for functional programming in machine
     learning frameworks.
+
+```toc
+:maxdepth: 2
+
+Overview
+Machine_Learning_Workflow
+Neural_Network_Programming
+Functional_Programming
+Bridging_Python_and_C_C++_Functions
+Chapter_Summary
+```

chapter_preface_basic/index.md

@@ -36,3 +36,14 @@ The chapter aims to achieve the following learning objectives:
 
 4.  Understanding the support for functional programming in machine
     learning frameworks.
+
+```toc
+:maxdepth: 2
+
+Overview
+Machine_Learning_Workflow
+Neural_Network_Programming
+Functional_Programming
+Bridging_Python_and_C_C++_Functions
+Chapter_Summary
+```