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Understanding how weights change model accuracy

Imagine you have to make a prediction for a single data point. The actual value of the target is 7. The weight going from node_0 to the output is 2, as shown below. If you increased it slightly, changing it to 2.01, would the predictions become more accurate, less accurate, or stay the same?

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