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NEW QUESTION: 1
You are building recurrent neural network to perform a binary classification.
The training loss, validation loss, training accuracy, and validation accuracy of each training epoch has been provided. You need to identify whether the classification model is over fitted.
Which of the following is correct?
A. The training loss .stays constant and the validation loss stays on a constant value and close to the training loss value when training the model.
B. The training loss increases while the validation loss decreases when training the model.
C. The training loss decreases while the validation loss increases when training the model.
D. The training loss stays constant and the validation loss decreases when training the model.
Answer: C
Explanation:
An overfit model is one where performance on the train set is good and continues to improve, whereas performance on the validation set improves to a point and then begins to degrade.
References:
https://machinelearningmastery.com/diagnose-overfitting-underfitting-lstm-models/

NEW QUESTION: 2
Which of the following DB2 data types CANNOT be used to create an identity column?
A. NUMERIC
B. SMALLINT
C. DOUBLE
D. INTEGER
Answer: C

NEW QUESTION: 3
When using the PowerShell library to manage your HP OneView environment, which cmdlet should you use to authenticate to the HP OneView appliance?
A. Connect-HPOVMgmt
B. New-HPOVResource
C. Send-HPOVRequest
D. Set-HPOVResource
Answer: A