Rotational invariance: Revision history

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19 March 2023

  • curprev 12:1812:18, 19 March 2023‎ Walle talk contribs‎ 3,403 bytes +3,403‎ Created page with "{{see also|Machine learning terms}} ==Rotational Invariance in Machine Learning== Rotational invariance, in the context of machine learning, refers to the ability of a model or algorithm to recognize and accurately process data regardless of the orientation or rotation of the input. This property is particularly important in computer vision and pattern recognition tasks, where the same object or pattern can appear in different orientations within the input data. ===Back..."
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