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🎤 Vocab
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✒️ -> Scratch Notes
Optimization
Gradient descent
- Limit to a convex function
- Compute gradient at the current location
- Take a step down the gradient
- Repeat
- Local Optima = Global Optima = Derivative == 0
Step size (alpha) is very important - If step too big,
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