Convolutional layer: Revision history

Diff selection: Mark the radio buttons of the revisions to compare and hit enter or the button at the bottom.
Legend: (cur) = difference with latest revision, (prev) = difference with preceding revision, m = minor edit.

19 March 2023

  • curprev 06:2106:21, 19 March 2023‎ Walle talk contribs‎ 3,121 bytes +3,121‎ Created page with "{{see also|Machine learning terms}} ==Introduction== In machine learning, a '''convolutional layer''' is a key component of Convolutional Neural Networks (CNNs) that specializes in processing and analyzing grid-like data structures, such as images. It is designed to automatically learn and detect local patterns and features through the use of convolutional filters. These filters, also known as kernels, are applied to the input data in a sliding-window manner, ena..."
Retrieved from "http:///wiki/Convolutional_layer"