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NEW QUESTION: 1
In ESM, what allows contextual information to be added to an individual event or group of events in support of workflow or operational metrics?
A. Annotations
B. Knowledge Base
C. Templates
D. Rules
Answer: A
NEW QUESTION: 2
A user is attempting to re-record a greeting using My CallPilot. Somehow the new greeting has become appended to the end of the first greeting recorded.
What has happened?
A. The user hung up the handset before pressing the stop button.
B. The user failed to move the slider all the way to the left.
C. The user pressed the # button at the end of the greeting.
D. The user failed to save the greeting.
Answer: B
NEW QUESTION: 3
You need to define an evaluation strategy for the crowd sentiment models.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation
Step 1: Define a cross-entropy function activation
When using a neural network to perform classification and prediction, it is usually better to use cross-entropy error than classification error, and somewhat better to use cross-entropy error than mean squared error to evaluate the quality of the neural network.
Step 2: Add cost functions for each target state.
Step 3: Evaluated the distance error metric.
References:
https://www.analyticsvidhya.com/blog/2018/04/fundamentals-deep-learning-regularization-techniques/