Master the Matrix

What is a Convolutional Neural Network (CNN)?      A Convolutional Neural Network (CNN) is a type of deep learning model specifically designed to process visual data like images and videos. It works by automatically learning patterns such as edges, textures, shapes, or objects from images without needing manual feature engineering. CNNs are inspired by the way the human visual cortex works and are widely used in computer vision tasks like image classification, object detection, face recognition, and more. CNNs reduce the complexity of image data using a structure of layers that include convolution layers, pooling layers, and fully connected layers. Each layer plays a unique role in extracting, simplifying, and interpreting the visual features. By stacking multiple such layers, CNNs can identify complex patterns and even recognize complete objects. One major advantage is that CNNs learn spatial hierarchies—starting from small patterns like edges to entire objects. CNNs ha...