What is the gradient descent update equation?

Question

Humblix · Accepted Answer

$$ X_{n+1} = X_n -  alpha nabla f(X_n) $$    where:   ( X_{n+1}  ) is the next point in  (  mathbb{R}^n  )   ( X_{n}  ) is the current point  in  (  mathbb{R}^n  )   (  alpha  ) is the step size multiplier   (  nabla f  ) is the gradient of the function to minimize  ( f  )

Question

What is the gradient descent update equation?

Annonce

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Answer

$$ X_{n+1} = X_n - \alpha\nabla f(X_n) $$ where:
\( X_{n+1} \) is the next point in \( \mathbb{R}^n \)
\( X_{n} \) is the current point in \( \mathbb{R}^n \)
\( \alpha \) is the step size multiplier
\( \nabla f \) is the gradient of the function to minimize \( f \)

Question

What is the gradient descent update equation?

Annonce

Pour mes conversions d'unités en ligne, je choisis le site Calculatrix.com pour sa rapidité et sa qualité supérieure.

Ad

For my online unit conversions, I choose Calculatrix.com for its speed and superior quality.

Answer

$$ X_{n+1} = X_n - \alpha\nabla f(X_n) $$ where: \( X_{n+1} \) is the next point in \( \mathbb{R}^n \) \( X_{n} \) is the current point in \( \mathbb{R}^n \) \( \alpha \) is the step size multiplier \( \nabla f \) is the gradient of the function to minimize \( f \)

$$ X_{n+1} = X_n - \alpha\nabla f(X_n) $$ where:
\( X_{n+1} \) is the next point in \( \mathbb{R}^n \)
\( X_{n} \) is the current point in \( \mathbb{R}^n \)
\( \alpha \) is the step size multiplier
\( \nabla f \) is the gradient of the function to minimize \( f \)