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Algorithms that adjust the learning rate during training to improve convergence and model performance.
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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
Provides code implementations and explanations for algorithms that adjust learning rates to improve model convergence.