Stride: Revision history

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19 March 2023

  • curprev 12:1912:19, 19 March 2023‎ Walle talk contribs‎ 3,272 bytes +3,272‎ Created page with "{{see also|Machine learning terms}} ==Introduction== In machine learning, '''stride''' refers to a parameter that determines the step size used during the convolution or pooling process in convolutional neural networks (CNNs). Stride plays a critical role in managing the spatial dimensions of feature maps, which can directly affect the model's efficiency and computational requirements. This article will explain the concept of stride, its role in CNNs, and its impact..."
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