gradient vectors
[ˈɡreɪdiənt ˈvɛktərz]
nounpl: gradient vectors
vetores gradiente
1. In mathematics and physics, vectors that point in the direction of the greatest rate of increase of a scalar field, with magnitude equal to that rate of increase
The gradient vectors of the temperature field show the direction of greatest heat increase.
Os vetores gradiente do campo de temperatura mostram a direção do maior aumento de calor.
2. In machine learning, vectors computed during backpropagation that indicate how to adjust weights to minimize loss
Gradient vectors guide the optimization algorithm in training neural networks.
Os vetores gradiente guiam o algoritmo de otimização no treinamento de redes neurais.
3. The partial derivatives of a function with respect to each variable, arranged as a vector
Computing gradient vectors is essential for understanding the behavior of multivariable functions.
Calcular vetores gradiente é essencial para compreender o comportamento de funções multivariáveis.
This is a specialized technical term primarily used in academic, scientific, and engineering contexts. It is fundamental in computer science and machine learning, particularly in discussions of neural network training and optimization algorithms. The term is language-agnostic in most technical communities, with 'vetores gradiente' being the standard Portuguese equivalent used in Brazilian and European academic institutions.
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