Results for "matrix dimension"
Hessian Matrix
Intermediate
Matrix of second derivatives describing local curvature of loss.
Singular Value Decomposition
Advanced
Decomposes a matrix into orthogonal components; used in embeddings and compression.
Jacobian
Advanced
Matrix of first-order derivatives for vector-valued functions.
Hessian
Advanced
Matrix of curvature information.
VC Dimension
Intermediate
A measure of a model class’s expressive capacity based on its ability to shatter datasets.
Confusion Matrix
Intermediate
A table summarizing classification outcomes, foundational for metrics like precision, recall, specificity.