Convolutional Neural Networks (CNNs) in Image Processing
Convolutional Neural Networks (CNNs) are fundamental to the field of computer vision and AI-generated art. They are specifically designed to process pixel data, making them highly effective for image recognition, classification, and generation tasks. CNNs consist of multiple layers, including convolutional layers, pooling layers, and fully connected layers. The convolutional layers apply filters to the input image to detect features such as edges, textures, and patterns. Pooling layers reduce the spatial dimensions, enhancing computational efficiency. In AI-generated art, CNNs are crucial for tasks like style transfer, where they analyze and replicate the stylistic features of artworks.