Gradient descent is a method for unconstrained mathematical optimization. It is a first-order iterative algorithm for finding a local minimum of a differentiable... 36 KB (5,280 words) - 00:21, 27 March 2024 |
Gradient boosting is a machine learning technique based on boosting in a functional space, where the target is pseudo-residuals rather than the typical... 28 KB (4,188 words) - 15:43, 24 April 2024 |
Stochastic gradient descent (often abbreviated SGD) is an iterative method for optimizing an objective function with suitable smoothness properties (e... 50 KB (6,588 words) - 05:22, 16 April 2024 |
In machine learning, the vanishing gradient problem is encountered when training neural networks with gradient-based learning methods and backpropagation... 25 KB (3,779 words) - 21:01, 25 April 2024 |
A temperature gradient is a physical quantity that describes in which direction and at what rate the temperature changes the most rapidly around a particular... 5 KB (475 words) - 16:46, 29 February 2024 |
electrochemical gradient is a gradient of electrochemical potential, usually for an ion that can move across a membrane. The gradient consists of two... 24 KB (2,716 words) - 14:53, 18 December 2023 |
surface gradient is a vector differential operator that is similar to the conventional gradient. The distinction is that the surface gradient takes effect... 2 KB (190 words) - 21:12, 1 November 2023 |
In color science, a color gradient (also known as a color ramp or a color progression) specifies a range of position-dependent colors, usually used to... 13 KB (1,302 words) - 19:46, 4 April 2024 |
In mathematics, the conjugate gradient method is an algorithm for the numerical solution of particular systems of linear equations, namely those whose... 45 KB (7,323 words) - 08:31, 29 April 2024 |