Stanford CS229 Machine Learning | Spring 2026 | Lecture 7: Neural Networks 1 (Architecture)

Name: Stanford CS229 Machine Learning | Spring 2026 | Lecture 7: Neural Networks 1 (Architecture)
Uploaded: 2026-07-30T00:00:00.000Z
Duration: 1 h 20 min 27 s
Description: This lecture sets up the supervised-learning framework for nonlinear models—especially neural nets—by extending the linear-model recipe (loss + optimizer) and then defining the building blocks of \(h\theta\): ReLU/act...

Stanford Online · 80:27

This lecture sets up the supervised-learning framework for nonlinear models—especially neural nets—by extending the linear-model recipe (loss + optimizer) and then defining the building blocks of \(h\theta\): ReLU/act...

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