Introduction to CNN

Convolutional neural networks (CNNs) utilize convolution for feature extraction from images, distinguishing them from traditional neural networks that rely on matrix multiplication.

By representing images as tensors and applying convolutional layers, CNNs identify essential features such as edges and shapes, aiding in image classification tasks.

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