Convolutional Neural Networks: 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.

22 November 2023

  • curprev 20:2120:21, 22 November 2023Ai talk contribs 4,004 bytes +4,004 Created page with "== Introduction == Convolutional Neural Networks (CNNs) are a class of deep, feed-forward artificial neural networks that have been applied to analyze visual imagery. They are also known as shift invariant or space invariant artificial neural networks (SIANN), based on their shared-weights architecture and translation invariance characteristics. == Architecture == CNNs are composed of multiple layers of receptive fields..."