Recipe
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Computational Graphs

Collaborators
Reviewers
Total time needed: ~2 hours
Learning Objectives
This lst helps you understand about computational graphs and how they are used in Deep Learning
Potential Use Cases
Mathematical foundations behind Deep Learning
Target Audience
INTERMEDIATEPeople interested in knowing how Deep Learning model training works.
Go through the following annotated items in order:
BOOK_CHAPTER 1. Intuitive understanding of Computational Graph
  • Explains what is a computational graph
10 minutes
ARTICLE 2. Computational Graph in Deep learning
  • Example of using Computational Graph for BackPropagation
15 minutes
BOOK_CHAPTER 3. Subroutines for nodes in a computational graph
  • What are the subroutines to be followed in a computational graph?
20 minutes
ARTICLE 4. Symbol to symbol and Symbol to number derivatives
  • Intuitive understanding of Symbol to symbol and Symbol to number derivatives
10 minutes
OTHER 5. [Long read] Detailed explanation of Computation Graph and how to apply BackPropagation over it.
  • What is computation graph?
  • How to apply backprop?
60 minutes

Concepts Covered