How does TensorFlow represent models using computational graphs?
Wednesday, 02 August 2023
by EITCA Academy
TensorFlow, an open-source machine learning framework developed by Google, represents models using computational graphs. A computational graph is a powerful abstraction that allows TensorFlow to efficiently represent and execute complex mathematical computations. In this answer, we will explore how TensorFlow represents models using computational graphs and discuss their significance in the field of machine learning.
- Published in Artificial Intelligence, EITC/AI/GCML Google Cloud Machine Learning, First steps in Machine Learning, TensorBoard for model visualization, Examination review
Tagged under:
Artificial Intelligence, Computational Graphs, Edges, Machine Learning, Nodes, TensorFlow, Tensors

