APPLICATION OF SUPERVISED LEARNING
DEEP LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Model Ensembling is:
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Having multiple instances of the network(s) and average together their responses
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Having a single instance of the network and pass the input multiple times but altered in a small way
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The perfect string quartet
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None of the above
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Explanation:
Detailed explanation-1: -What is ensembling? In general, ensembling is a technique of combining two or more algorithms of similar or dissimilar types called base learners. This is done to make a more robust system which incorporates the predictions from all the base learners.
Detailed explanation-2: -Model averaging is an approach to ensemble learning where each ensemble member contributes an equal amount to the final prediction. In the case of regression, the ensemble prediction is calculated as the average of the member predictions.
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