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 |
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.
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