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A tensor product network, in artificial neural networks, is a network that exploits the properties of tensors to model associative concepts such as variable assignment. Orthonormal vectors are chosen to model the ideas , and the tensor product of these vectors construct a network whose mathematical properties allow the user to easily extract the association from it.
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