What is the definition of CNNs?

CNNs, or Convolutional Neural Networks, are a type of deep learning algorithm specifically designed for processing and analyzing visual data such as images or videos. Inspired by the visual cortex of the human brain, CNNs employ multiple layers of filters, known as convolutional layers, to extract meaningful features from raw pixel data. These filters apply a series of mathematical operations, called convolutions, to the input data, gradually transforming it into a representation that is better suited for classification or detection tasks. CNNs also incorporate other types of layers, like pooling and fully connected layers, to further enhance feature extraction and decision-making capabilities. Due to their ability to automatically learn and understand complex patterns from visual data, CNNs have become the cornerstone of many computer vision applications, including image recognition, object detection, and image generation.

This mind map was published on 4 September 2023 and has been viewed 102 times.