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In this video, we go through the math behind Convolutional Neural Networks (CNNs) — step by step and with clear examples. We’ll break down how each layer works: Convolution → feature extraction ReLU → non-linearity Pooling → dimensionality reduction Flatten → preparing for fully connected layers Fully Connected Layer → final ...
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