ALEXANDRIA, Va., Aug. 26 -- United States Patent no. 12,400,111, issued on Aug. 26, was assigned to ROBERT BOSCH GMBH (Stuttgart, Germany).
"Compressing a deep neural network" was invented by Thomas Pfeil (Renningen, Germany).
According to the abstract* released by the U.S. Patent & Trademark Office: "A method for compressing a deep neural network. The deep neural network includes a multitude of layers, which are each connected on the input side according to a predefinable sequence to their directly preceding layer of the sequence. The method includes adding a skip connection. Thereafter, a reduction of a resolution of the parameters of the layers follows. A computer program as well as to a device for carrying out the method are also desc...