Example: Der Gradientenabfall hilft beim Trainieren von neuronalen Netzen.
Definition
"Gradient descent" is an optimization algorithm used in data science and artificial intelligence to minimize a function by iteratively moving towards the steepest decrease in value. It helps train neural networks by adjusting parameters to reduce errors.
The term "Gradient descent" comes from mathematics, where 'gradient' refers to the vector of partial derivatives indicating the direction of steepest ascent. 'Descent' means moving downward, so together they describe moving down the slope of a function to find its minimum. This concept was adapted to machine learning to optimize models effectively.
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"Der Gradientenabfall" appears in the Vocaplus list "German - Data & AI - (A1-C2) - set 1", containing 110 commonly used words.
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