Spatial pooling: Revision history

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19 March 2023

  • curprev 12:1812:18, 19 March 2023‎ Walle talk contribs‎ 2,769 bytes +2,769‎ Created page with "{{see also|Machine learning terms}} ==Spatial Pooling in Machine Learning== Spatial pooling, also known as spatial subsampling, is a technique utilized in various machine learning algorithms, particularly in the field of Convolutional Neural Networks (CNNs). It is designed to reduce the spatial dimensions of feature maps while retaining significant information. Spatial pooling is essential in creating a more compact representation of the input data, which consequentl..."
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