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Explore the foundational concepts of neural networks in this comprehensive lecture that examines their structural components and role as a hypothesis class. Learn the mechanics of neural network prediction and delve into the initial stages of neural network training methodologies. Gain valuable insights through detailed explanations and practical examples during this 81-minute academic session that serves as a gateway to understanding modern machine learning architectures.
