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Traduzione e analisi delle parole tramite l'intelligenza artificiale ChatGPT
In questa pagina puoi ottenere un'analisi dettagliata di una parola o frase, prodotta utilizzando la migliore tecnologia di intelligenza artificiale fino ad oggi:
- come viene usata la parola
- frequenza di utilizzo
- è usato più spesso nel discorso orale o scritto
- opzioni di traduzione delle parole
- esempi di utilizzo (varie frasi con traduzione)
- etimologia
Cosa (chi) è of the same descent - definizione
Member of the same sex; Members of the same sex
The Descent from the Cross (van der Weyden)
![Version by [[Joos van Cleve]], c. 1518-20, given a landscape background.<ref>Snyder, p. 418</ref>](https://commons.wikimedia.org/wiki/Special:FilePath/Cat373-cons2017.jpg?width=200 "Version by [[Joos van Cleve]], c. 1518-20, given a landscape background.<ref>Snyder, p. 418</ref>")
 - WGA25580.jpg?width=200 "Head of Jesus")
![Tears of [[Mary of Clopas]]](https://commons.wikimedia.org/wiki/Special:FilePath/Weyden, Rogier van der - Descent from the Cross - Detail women (left).jpg?width=200 "Tears of [[Mary of Clopas]]")
PAINTING BY ROGIER VAN DER WEYDEN, PRADO MUSEUM
Deposition (Rogier van der Weyden); The Descent from the Cross (Rogier van der Weyden); The Escorial Deposition; Descent of Christ from the Cross
The Descent from the Cross (or Deposition of Christ, or Descent of Christ from the Cross) is a panel painting by the Flemish artist Rogier van der Weyden created , now in the Museo del Prado, Madrid. The crucified Christ is lowered from the cross, his lifeless body held by Joseph of Arimathea and Nicodemus.
(We Want) The Same Thing
ORIGINAL SONG WRITTEN AND COMPOSED BY ELLEN SHIPLEY AND RICK NOWELS; FIRST RECORDED BY BELINDA CARLISLE AND RELEASED IN 1989
(We Want) the Same Thing; We want the same thing
"(We Want) The Same Thing" is a song by American singer Belinda Carlisle. Written by Rick Nowels and Ellen Shipley, it was produced by Nowels for Carlisle's third album Runaway Horses (1989).
Gradient descent
![An animation showing the first 83 iterations of gradient descent applied to this example. Surfaces are [[isosurface]]s of <math>F(\mathbf{x}^{(n)})</math> at current guess <math>\mathbf{x}^{(n)}</math>, and arrows show the direction of descent. Due to a small and constant step size, the convergence is slow.](https://commons.wikimedia.org/wiki/Special:FilePath/Gradient Descent Example Nonlinear Equations.gif?width=200 "An animation showing the first 83 iterations of gradient descent applied to this example. Surfaces are [[isosurface]]s of <math>F(\mathbf{x}^{(n)})</math> at current guess <math>\mathbf{x}^{(n)}</math>, and arrows show the direction of descent. Due to a small and constant step size, the convergence is slow.")
![Illustration of gradient descent on a series of [[level set]]s](https://commons.wikimedia.org/wiki/Special:FilePath/Gradient descent.svg?width=200 "Illustration of gradient descent on a series of [[level set]]s")
.jpg?width=200 "Fog in the mountains")
![The steepest descent algorithm applied to the [[Wiener filter]]<ref>Haykin, Simon S. Adaptive filter theory. Pearson Education India, 2008. - p. 108-142, 217-242</ref>](https://commons.wikimedia.org/wiki/Special:FilePath/Steepest descent.png?width=200 "The steepest descent algorithm applied to the [[Wiener filter]]<ref>Haykin, Simon S. Adaptive filter theory. Pearson Education India, 2008. - p. 108-142, 217-242</ref>")
OPTIMIZATION ALGORITHM
Steepest descent; Gradient ascent; Gradient descent method; Steepest ascent; Gradient Descent; Gradient descent optimization; Gradient-based optimization; Gradient descent with momentum
In mathematics, gradient descent (also often called steepest descent) is a first-order iterative optimization algorithm for finding a local minimum of a differentiable function. The idea is to take repeated steps in the opposite direction of the gradient (or approximate gradient) of the function at the current point, because this is the direction of steepest descent.
