US 12,141,684 B2
Neural network architecture using single plane filters
Christopher Martin, Leighton Buzzard (GB)
Assigned to Imagination Technologies Limited, Kings Langley (GB)
Filed by Imagination Technologies Limited, Kings Langley (GB)
Filed on Mar. 9, 2023, as Appl. No. 18/119,590.
Application 18/119,590 is a continuation of application No. 16/182,426, filed on Nov. 6, 2018, granted, now 11,610,099, issued on Mar. 21, 2023.
Claims priority of application No. 1718358 (GB), filed on Nov. 6, 2017; and application No. 1718359 (GB), filed on Nov. 6, 2017.
Prior Publication US 2023/0214631 A1, Jul. 6, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06N 3/063 (2023.01); G06F 7/544 (2006.01); G06F 17/15 (2006.01); G06N 3/04 (2023.01); G06N 3/045 (2023.01); G06N 3/0464 (2023.01); G06N 3/048 (2023.01)
CPC G06N 3/063 (2013.01) [G06F 7/5443 (2013.01); G06F 17/15 (2013.01); G06N 3/04 (2013.01); G06N 3/0464 (2023.01); G06N 3/048 (2023.01); G06N 3/045 (2023.01)] 20 Claims
OG exemplary drawing
 
1. Hardware for implementing a Deep Neural Network (DNN) having a convolution layer, the hardware comprising:
an input buffer configured to provide data windows to a plurality of convolution engines, each data window comprising a single input plane; and
each of the plurality of convolution engines being operable to perform a convolution operation by multiplying a weight with a respective data value of the data window provided by the input buffer and accumulating the results of a plurality of multiplications performed by the convolution engine so as to form an output for a respective convolution operation.