Graph execution: Revision history

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20 March 2023

  • curprev 05:0305:03, 20 March 2023‎ Walle talk contribs‎ 3,518 bytes +3,518‎ Created page with "{{see also|Machine learning terms}} ==Graph Execution in Machine Learning== Graph execution in machine learning refers to a computational paradigm that employs directed graphs to represent and execute complex operations and dependencies between data, models, and algorithms. The graph execution approach is typically used in conjunction with TensorFlow, a popular open-source machine learning library, to optimize performance and parallelism in deep learning models. It p..."
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