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You work for an organization that sells automobiles online. As part of the service, you have an artificial neural network used to predict the likelihood that a car will sell the next hour. At first the network's predictions were not very accurate, but then it became more accurate but was off by around How do you think the network will adjust itself to improve its accuracy?
It will increase the size of the test data.
It will reinitialize all the weights of the connections.
It will likely adjust the bias.
It will feed data into the output layer.
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