Convolutional Neural Networks (CNNs)
Convolutional Neural Networks are a specialized type of deep learning network particularly adept at processing grid-like data, such as images. They use 'convolutional layers' which apply small filters across the input, learning to detect features like edges, textures, and shapes hierarchically. Subsequent layers then combine these features to make higher-level interpretations, like recognizing objects.
Imagine searching for a specific pattern in a giant tapestry by sliding a small magnifying glass over it, identifying smaller shapes that eventually combine to form the bigger picture.
CNNs revolutionized computer vision, enabling machines to 'see' and understand images with unprecedented accuracy.
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