ENTITY RML2016.10a

RML2016.10a

PulseAugur coverage of RML2016.10a — every cluster mentioning RML2016.10a across labs, papers, and developer communities, ranked by signal.

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TOOL · CL_284674 · Oct 7 · 04:00

CNet framework enables complex-valued deep learning with Wirtinger derivatives

Researchers have developed CNet, a C++/CUDA framework designed for training deep complex-valued neural networks (CVNNs) and optimizing complex-valued functions using Wirtinger derivatives. This framework adopts a physic…