A Convolutional Neural Network (CNN) is a type of neural network that is specifically designed for image recognition and processing. It is composed of multiple layers of interconnected nodes, including convolutional layers, pooling layers, and fully connected layers. CNNs are used in a wide variety of applications, including image classification, object detection, and facial recognition. For example, a CNN can be trained to recognise different types of animals by analysing patterns of pixels in images. It can also be used to detect objects in real-time video streams or identify specific individuals in a crowd. CNNs are capable of learning complex features and patterns in images, making them a powerful tool for solving a wide range of image-related problems.
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