Tutorial On Auto-encoders

Related lectures (27)

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Covers linear applications, matrices, transformations, and the principle of superposition.

Explores matrices, inverses, and their applications in linear algebra, emphasizing composition and transformation properties.

Explores eigenvalues and eigenvectors, demonstrating their importance in linear algebra and their application in solving systems of equations.

Covers linear algebra basics, including matrices, change of basis, and invertible matrices.

Explores matrix operations, linear systems, solutions, and the span of vectors in linear algebra.

Explores linear algebra basics, emphasizing matrix representations of transformations and the importance of choosing appropriate bases.

Covers orthogonal linear maps, orthogonal matrices, invertibility, and least squares solutions in Euclidean spaces.

Explores the properties of invertible matrices, including unique solutions and linear independence.

Explores matrix operations, rank determination, kernel dimensions, and basis concepts in linear algebra.

Explores the equivalence between different properties of linear transformations represented by matrices and various matrix operations.