Question 1 of 307
Single answerYour company built a TensorFlow neutral-network model with a large number of neurons and layers. The model fits well for the training data. However, when tested against new data, it performs poorly. What method can you employ to address this?
AThreading
BSerialization
✓CDropout Methods
DDimensionality Reduction
✓
Correct Answer: C
Dropout Methods
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Explanation
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