APPLICATION OF SUPERVISED LEARNING
DEEP LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Which of the following loss functions is best for Classification?
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L1
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L2
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Manhattan Distance
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Negative Loglikelihood
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Explanation:
Detailed explanation-1: -Cross-Entropy Loss is also known as the Negative Log Likelihood. This is most commonly used for classification problems.
Detailed explanation-2: -Broadly, loss functions can be classified into two major categories depending upon the type of learning task we are dealing with-Regression losses and Classification losses.
Detailed explanation-3: -Log Loss is the loss function for logistic regression. Logistic regression is widely used by many practitioners.
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