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Downsampling operations used in neural networks to reduce spatial dimensions and computational complexity.
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This project is an open-source, interactive educational platform designed to teach deep learning through a comprehensive, code-first curriculum. It provides a structured learning path that covers foundational mathematics, modern neural network architectures, and practical optimization techniques, enabling practitioners
Illustrates the theory and implementation of downsampling operations used to reduce spatial dimensions in neural networks.