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What is Understanding Convolutional Neural Networks about?

Convolutional Neural Networks (CNNs) are deep learning models primarily used for processing image data, consisting of convolutional, pooling, activation, and fully connected layers to detect features and make predictions. They are trained through a supervised learning approach using labeled datasets, with evaluation metrics such as accuracy, precision, and recall. CNNs have various applications including image classification, object detection, and medical imaging, with notable architectures like LeNet, Alex

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abillionair01

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