Eager execution: Revision history

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19 March 2023

  • curprev 19:1719:17, 19 March 2023‎ Walle talk contribs‎ 3,705 bytes +3,705‎ Created page with "{{see also|Machine learning terms}} ==Introduction== Eager execution is a programming paradigm in machine learning that offers a more intuitive and flexible way of building, training, and debugging computational graphs. Unlike the traditional graph-based execution, which requires the construction of a static computation graph before running any operations, eager execution allows operations to be executed immediately as they are called, similar to standard Python programs..."
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