Question: How does a perceptron update its weights during training? a . By multiplying the input by the learning rate b . By dividing the gradient

How does a perceptron update its weights during training?
a. By multiplying the input by the learning rate
b. By dividing the gradient of the loss function by the learning rate
c. By subtracting the gradient of the loss function multiplied by the learning rate
d. By adding the gradient of the loss function multiplied by the learning rate

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