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With only limited labeled data available how might a neural network use case be realized?
With only limited labeled data available how might a neural network use case be realized?
A . by assigning random labels
B . by increasing the depth of the neural network
C . by creating random data
D . by using a customized pre-trained model
Answer: D
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