Post-training Control of the Bias of Neural Networks
AssigneeDSP Group Ltd.
InventorsDimitri Lvov, Maor Shliefer, Uri Tuval
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Abstract
A method for controlling a bias of a neural network, the method may include training the neural network by using a loss function that is responsive to classes of a classification process and sensitivity input values thereby setting the bias.
Claims20
A method for controlling a bias of a neural network, the method comprising:
- training the neural network by using a loss function that is responsive to classes of a classification process and sensitivity input values thereby setting the bias.
The method according to claim 3 comprising determining values of the sensitivity inputs in a random manner.
A non-transitory computer readable medium that stores instructions for:
- training a neural network by using a loss function that is responsive to classes of a classification process and sensitivity input values thereby setting the bias.
The non-transitory computer readable medium according to claim 13 that stores instructions for determining values of the sensitivity inputs in a random manner.
Dependencies are inferred from the claim text.