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Mathematical foundations focusing on derivatives and optimization for machine learning.
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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
Offers mathematical tutorials focused on the derivatives and optimization principles essential for training modern machine learning models.