Patent ID: 11948093
Assignee: TRUSTEES OF TUFTS COLLEGE
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 14:
15. A computer program product that facilitates training a neural network, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions are executable by a processor to cause the processor to:
obtain training tensor-formatted input data; and
train using a Hamiltonian forward propagation process and the training tensor-formatted input data, the neural network comprising a graph of nodes connected via weighted edges to evolve tensor-formatted input data based on a defined tensor-tensor layer evolution rule, wherein the training employs a first subset of the training tensor-formatted input data having a first type of tensor format in response to the neural network using an M-product based on a invertible linear transformation, and wherein the training employs a second subset of the training tensor-formatted input data having a second type of tensor format in response to the neural network using a t-product based on a circulant convolution.