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Changes in data distribution between training and inference.
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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
Addresses the challenges of model generalization and performance degradation when encountering shifts in data distribution.