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CNN
(Convolutional Neural Network)
CNN is a specialized type of ANN designed for processing structured grid data like images. Using convolutional layers that preserve spatial relationships, CNNs have revolutionized CV and image analysis.
CNNs automatically learn hierarchical feature representations, from simple edges in early layers to complex objects in deeper layers. This architecture has become fundamental in applications ranging from medical diagnosis to autonomous driving. Modern CNNs often contain millions of parameters and require significant computational power, typically running on GPU-accelerated systems for efficient training and inference.
CNNs automatically learn hierarchical feature representations, from simple edges in early layers to complex objects in deeper layers. This architecture has become fundamental in applications ranging from medical diagnosis to autonomous driving. Modern CNNs often contain millions of parameters and require significant computational power, typically running on GPU-accelerated systems for efficient training and inference.