CVN (Convolutional Neural Networks)

Convolutional Neural Networks (CNNs) are a type of machine learning model designed to recognize patterns in visual data, like images or videos. They work by automatically learning features such as edges, textures, and shapes through layered filters, which scan parts of the input and detect important details. These layers gradually build a understanding of the overall content, enabling the model to classify images, detect objects, or perform other visual tasks accurately. CNNs are inspired by the way the human visual system processes information, making them particularly effective for tasks involving complex visual recognition.