test2 qfisv CNN
Convolutional Neural Networks (CNNs) are a specialized class of deep learning models designed primarily for processing structured grid data such as images, audio spectrograms, or even sequential data represented spatially. CNNs have become the cornerstone of modern computer vision, enabling breakthroughs in image classification, object detection, semantic segmentation, and many other visual recognition tasks. The core idea behind CNNs is to exploit the spatial and local structure of data through convolution operations, hierarchical feature extraction, and parameter sharing, thereby improving both computational efficiency and generalization ability.
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