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Answer Posted / Dayashankar Sharma
A computational graph is a visual representation of the operations (or nodes) and dependencies between them in a machine learning model. Each node represents an operation such as matrix multiplication, addition, or activation function, and edges represent data dependencies between those operations. Computational graphs provide a flexible and modular way to define and optimize complex deep learning models.
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