Abstract:<p>Traditional numerical solvers for linear algebra problems such as dictionary learning (DictL) operating on large data face challenges because of super-linear computational complexity and massive memory requirement. This does not make it easily solvable on commonly available computers. A linear neural network (NN) is proposed to be employed as an alternate solver for such problems. Specifically, we demonstrate a linear fully-connected (FC) NN-based solver for DictL. It is employed to learn the dictiona… Show more
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