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Explore the backpropagation algorithm and its role in neural networks through a detailed lecture that delves into the mathematical foundations and practical applications of this essential machine learning concept. Learn how backpropagation enables neural networks to learn and adapt through error correction, making it a fundamental component of modern deep learning systems.
Syllabus
Machine Learning: Lecture 27: Neural networks (continued)
Taught by
UofU Data Science