Convolutional Neural Networks (CNNs)

Convolutional Neural Networks (CNNs) are a type of neural network that are particularly useful for image recognition tasks. They are designed to process data with multiple channels, such as images, by applying filters to extract features and patterns.

History:

• CNNs were first introduced in the 1980s by Yann LeCun and colleagues at AT&T's Bell Labs.

• They were initially developed for handwritten digit recognition tasks, but have since been applied to a wide range of image recognition tasks, including object detection, facial recognition, and medical image analysis.

• CNNs have become the standard approach for image recognition tasks in computer vision, and have been used to achieve state-of-the-art performance on a wide range of benchmarks.