Robert bosch gmbh (20250103887). COMPUTATIONAL EFFICIENT CONVOLUTIONAL NEURAL NETWORK
COMPUTATIONAL EFFICIENT CONVOLUTIONAL NEURAL NETWORK
Organization Name
Inventor(s)
Alexandru Paul Condurache of Renningen DE
Jens Eric Markus Mehnert of Malmsheim DE
COMPUTATIONAL EFFICIENT CONVOLUTIONAL NEURAL NETWORK
This abstract first appeared for US patent application 20250103887 titled 'COMPUTATIONAL EFFICIENT CONVOLUTIONAL NEURAL NETWORK
Original Abstract Submitted
a computer-implemented method for a computer-implemented method of efficiently calculating convolution operations. the method includes receiving a tensor of input data to be proceeded and at least one filter and initializing a locality-sensitive hashing function. then, repeating the following steps for each patch in the tensor: slicing the current receptive field into a series of matrices. applying the locality-sensitive hashing to each of said matrices to determine a hash representation for each matrix. merging the matrixes with essentially the same hash representation to a new matrix. creating a reduced tensor by arrange the merged matrices in a series. merging the filter coefficients in the same order as the matrices have been merged and convolving the merged on the reduced sub-tensor with the merged filter.