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さいきゅうこうかほう 最急降下法
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Noun
1. saddle point method; steepest descent method; gradient descent method​Mathematics
Wikipedia definition
2. Gradient descent​Gradient descent is a first-order optimization algorithm. To find a local minimum of a function using gradient descent, one takes steps proportional to the negative of the gradient (or of the approximate gradient) of the function at the current point. If instead one takes steps proportional to the positive of the gradient, one approaches a local maximum of that function; the procedure is then known as gradient ascent.
Read “Gradient descent” on English Wikipedia
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