Deep Learning, Linear Algebra, AI, Artificial Intelligence, Machine Learning.
involves finding eigenvectors and eigenvalues to reduce the dimensionality of data. Singular Value Decomposition (SVD): SVD is another key linear algebra concept used in deep learning. It can be employed for various purposes, including matrix factorization, feature extraction, and reducing the rank