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Question 1 - Professional Data Engineer discussion
Your company built a TensorFlow neural-network model with a large number of neurons and layers.
The model fits well for the training dat a. However, when tested against new data, it performs poorly. What method can you employ to address this?
A.
Threading
B.
Serialization
C.
Dropout Methods
D.
Dimensionality Reduction
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