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This lst helps you understand about computational graphs and how they are used in Deep Learning
Potential Use Cases
Mathematical foundations behind Deep Learning
Who is This For ?
People interested in knowing how Deep Learning model training works.
Click on each of the following
to see details.
1. Intuitive understanding of Computational Graph
Explains what is a computational graph
2. Computational Graph in Deep learning
Example of using Computational Graph for BackPropagation
3. Subroutines for nodes in a computational graph
What are the subroutines to be followed in a computational graph?
4. Symbol to symbol and Symbol to number derivatives
Intuitive understanding of Symbol to symbol and Symbol to number derivatives
5. [Long read] Detailed explanation of Computation Graph and how to apply BackPropagation over it.
What is computation graph?
How to apply backprop?