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NEW QUESTION: 1
Your 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?
A. Dimensionality Reduction
B. Threading
C. Dropout Methods
D. Serialization
Answer: C
Explanation:
https://medium.com/mlreview/a-simple-deep-learning-model-for-stock-price-prediction-using-tensorflow-30505541d877

NEW QUESTION: 2
Static routing is to be used in a network between a corporate head office with many connected networks, and a branch office with one connection to the head office. Which of the following best describes the likely configuration?
A. The corporate head office router should have a default route and the branch site should have a more specific static route
B. The corporate head office router and the branch office router should both have specific static routes.
C. The corporate head office router and the branch router should both have default routes.
D. The corporate head office router should have a specific static route and the branch office router should have a default route.
Answer: D

NEW QUESTION: 3
A newly created IBM Worklight application contains the base environment in a common folder. The Worklight application structure is also divided into environment folders (iPhone, Android, BlackBerry, etc). Each environment folder contains the resources (CSS, JS, images, etc) that are relevant for that specific environment. Bob's common folder contains an HTML file and the iPhone folder also contains an HTML file. Which HTML file will an Android device use?
A. The iPhone HTML file will be used.
B. The Android folder contains a default HTML file that will be used.
C. The common HTML file will be used.
D. Bob must define an HTML file for the Android folder to have a page display.
Answer: C