multivariable-calculus
Gradient descent
taught
Taught in
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Gradient descent
Calculus III — Multivariable Calculus
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Gradient descent: the update rule
Optimization
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Choosing a learning rate
Optimization
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Convergence, divergence, and overshoot
Optimization
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The zig-zag problem in narrow valleys
Optimization
Requires
Required by
- The descent-direction framework required
- The gradient in three variables required
Local knowledge map
Local knowledge map
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Solid arrows are required prerequisites; dashed are recommended or helpful. Lower rows are more foundational. Click any box to jump to that concept.