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Explore advanced neural network concepts in this 70-minute lecture from UofU Data Science that builds upon foundational knowledge. Delve deeper into neural network architectures, training methodologies, and optimization techniques essential for understanding modern deep learning systems. Access comprehensive slides to reinforce key concepts and mathematical foundations presented throughout the session. Strengthen your grasp of neural network theory and practical applications through detailed explanations and visual demonstrations designed for data science students and practitioners.
Syllabus
Neural networks foundations: Part 2
Taught by
UofU Data Science