What is a computational graph in neural networks?
Updated May 17, 2026
Short answer
A computational graph represents operations and dependencies in a neural network.
Deep explanation
Nodes represent operations or variables, and edges represent data flow. It enables automatic differentiation.
Real-world example
PyTorch builds dynamic computation graphs during training.
Common mistakes
- Confusing static and dynamic graphs.
Follow-up questions
- What is dynamic graph?
- What is static graph?