EMERGING TRENDS IN COMPUTING
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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In deep learning tasks, when encountering data imbalance problems, which of the following methods can we use to solve the problem:
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Random oversampling
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Batch delete
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Synthetic sampling
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Random undersampling
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Explanation:
Detailed explanation-1: -Neural networks can provide robust solutions to problems in a wide range of disciplines, particularly areas involving classification, prediction, filtering, optimization, pattern recognition, and function approximation.
Detailed explanation-2: -Deep learning models may face significant difficulties due to the learning pace. The model will converge too rapidly if the rate is too high, leading to a less-than-ideal outcome. It may become stuck in the process and be much more difficult to find a solution if the pace is too low.
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