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		master_yoda_1 on Nov 29, 2019 \| parent \| context \| favorite \| on: Matrix Calculus for Deep Learning If anybody want to read the real stuff then here is the reference: Matrix Computations https://www.cs.cornell.edu/cv/Books/GVL/index.htm

FabHK on Nov 29, 2019 [–]

The book by Golub (RIP) and Van Loan goes way beyond what's discussed here (SVD, QR decomposition, eigenvalue computations, iterative solvers, error analysis, etc.), and it's focused more on (numeric) linear algebra rather than calculus.

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