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OPT-002Derivationtrack →

Derive the gradient of this one-parameter squared loss L = (w·x − y)² with respect to w.

prerequisite: OPT-001

Context fixture

{
  "loss": "(w*x - y)^2"
}

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related lab: learn-by-reducing-error →0 attempts