Convolutional Neural Networks (CNN) are a special type of Artificial Neural Network mainly used to help computers see and understand images. Just like how our eyes and brain work together to recognize objects, a CNN helps a computer look at pictures, find patterns, and identify what’s in them. A CNN works by breaking an image into small parts and studying them one by one. It looks for shapes, colors, and edges — like lines, circles, or corners — and then combines all this information to understand the full picture. For example, if we show a CNN many pictures of cats and dogs, it will slowly learn what features make a cat different from a dog, such as ear shape or fur pattern. CNNs are very powerful and are used in many real-life technologies. They are used in facial recognition on phones, self-driving cars to detect roads and signs, and even in medical imaging to help doctors find signs of diseases. In simple terms, a CNN helps AI see, understand, and recognize things in pictures or videos — just like how humans use their eyes and brain to make sense of what they see.