I'm not sure to understand your question. Here are some relationships between weights and biases in artificial neurons:
- weights and biases are parameters of a neural network
- weights and biases are updated during the optimization process, often Gradient Descent
- weights and biases are dependent in the optimization procedure: if one changes the biases or the weight without updating the other, the neural network would not work correctly
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