US 11,928,764 B2
Neural network motion controller
Tingwu Wang, Toronto (CA); Yun Rong Guo, Richmond Hill (CA); Maria Shugrina, Toronto (CA); and Sanja Fidler, Toronto (CA)
Assigned to NVIDIA Corporation, Santa Clara, CA (US)
Filed by NVIDIA Corporation, Santa Clara, CA (US)
Filed on Sep. 15, 2020, as Appl. No. 17/021,845.
Prior Publication US 2022/0084272 A1, Mar. 17, 2022
Int. Cl. G06T 13/20 (2011.01); G06F 18/211 (2023.01); G06F 18/214 (2023.01); G06N 3/084 (2023.01); G06N 5/046 (2023.01); G06T 7/20 (2017.01)
CPC G06T 13/20 (2013.01) [G06F 18/211 (2023.01); G06F 18/2148 (2023.01); G06N 3/084 (2013.01); G06N 5/046 (2013.01); G06T 7/20 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01)] 32 Claims
OG exemplary drawing
 
1. A processor comprising:
one or more circuits to cause two or more disproportionate groups of neural network training data to be proportionally equalized based, at least in part, on one or more accuracy metrics of one or more neural networks to be trained using the training data.