A gradient is a vector of partial derivatives that indicates how a function changes with respect to its variables. In machine learning, gradients show how model parameters should be adjusted to reduce loss during training.
The vector of partial derivatives with respect to all of the independent variables. In machine learning, the gradient is the vector of partial derivatives of the model function. The gradient points in the direction of steepest ascent.
The vector of partial derivatives with respect to all of the independent variables. In machine learning, the gradient is the vector of partial derivatives of the model function. The gradient points in the direction of steepest ascent.