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Question 1 - Professional Data Engineer discussion

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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
Answers
A.
Threading
B.
Serialization
Answers
B.
Serialization
C.
Dropout Methods
Answers
C.
Dropout Methods
D.
Dimensionality Reduction
Answers
D.
Dimensionality Reduction
Suggested answer: C

Explanation:

Reference https://medium.com/mlreview/a-simple-deep-learning-model-for-stock-price-predictionusing-tensorflow-30505541d877

asked 18/09/2024
Yi-Jen Tung
36 questions
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