Among many classification models, the Convolutional Neural Network (CNN) has demonstrated exceptional performance in computer vision. Photographs and other images that reflect the real world have a high correlation between surrounding pixels.
The fully-connected layer, which is a fundamental model in deep learning, performed well in machine learning, but there is no way to maintain the correlation. CNN, on the other hand, can directly store correlation information, resulting in a more accurate performance evaluation.
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