US 11,875,268 B2
Object recognition with reduced neural network weight precision
Zhengping Ji, Pasadena, CA (US); Ilia Ovsiannikov, Studio City, CA (US); Yibing Michelle Wang, Temple City, CA (US); and Lilong Shi, Pasadena, CA (US)
Assigned to SAMSUNG ELECTRONICS CO., LTD.
Filed by Samsung Electronics Co., Ltd., Suwon-si (KR)
Filed on Dec. 29, 2022, as Appl. No. 18/148,422.
Application 18/148,422 is a continuation of application No. 16/553,158, filed on Aug. 27, 2019, granted, now 11,593,586.
Application 16/553,158 is a continuation of application No. 14/663,233, filed on Mar. 19, 2015, granted, now 10,417,525, issued on Sep. 17, 2019.
Claims priority of provisional application 62/053,692, filed on Sep. 22, 2014.
Prior Publication US 2023/0140474 A1, May 4, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06N 3/084 (2023.01); G06F 18/213 (2023.01); G06N 3/045 (2023.01); G06V 30/18 (2022.01); G06F 18/24 (2023.01); G06F 18/2413 (2023.01); G06V 30/19 (2022.01); G06V 10/77 (2022.01); G06V 10/82 (2022.01); G06V 10/44 (2022.01); G06V 30/10 (2022.01)
CPC G06N 3/084 (2013.01) [G06F 18/213 (2023.01); G06F 18/24 (2023.01); G06F 18/24137 (2023.01); G06N 3/045 (2023.01); G06V 10/454 (2022.01); G06V 10/7715 (2022.01); G06V 10/82 (2022.01); G06V 30/18057 (2022.01); G06V 30/19127 (2022.01); G06V 30/19173 (2022.01); G06V 30/10 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A device, comprising:
a processor; and
a memory,
the processor and the memory being configured as a neural network comprising:
at least one layer comprising an input and an output, the layer configured to receive an input feature map at the input and output an output feature map at the output, at least one of the input feature map and the output feature map having been quantized by a unitary quantizing operation to reduce a number of bits of at least one value of the feature map from a first predetermined number of bits to a second predetermined number of bits that is less than the first predetermined number of bits without changing a dimension of the feature map.