In supervised learning, a set of input variables are mapped to one or more output variables. What is the significance of the cost function in this mapping process?
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In supervised learning, a set of input variables are mapped to one or more output variables. What is the significance of the cost function in this mapping process?
a.All the options
b.The learning process revolves around minimizing the cost
c. Measures the accuracy of the network using the cost/loss function
d.The cost of loss function tries to penalize the network when it makes errors