Neural Networks 1 (Architecture) (CS229)
This lecture introduces the foundational concepts of artificial neural networks, detailing their architectural components, including layers, neurons, activation functions, and feedforward propagation. Key elements for constructing basic neural network models are examined.
Learn from the latest CS229 graduate curriculum — now built into XCS229 Machine Learning, our professional education version. Starts November 16, 2026. Enroll now.
🔗 https://stanford.io/xcs229-261116
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai
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