ConceptJacobian
Jacobian matrix
A matrix describing all first-order partial derivatives of a vector-valued function with respect to its input vector. In neural networks it is used to quantify the sensitivity and direction of contribution of layer activations to the output.
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Oct 19
The Jacobian matrix describes all first-order partial derivatives of a vector-valued function with respect to the input vector, where the element J_ij = ∂f_i/∂x_j characterizes the influence of a small change in the j-th component of the input on the i-th component of the output.
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