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This video explains how Convolutional Neural Networks (CNNs) work for image recognition and computer vision, starting from a simple neural network and showing why images require a different architecture. It covers the key ideas behind convolution operations, kernels, feature maps, multi-channel inputs (RGB), pooling layers, and the full CNN ...
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