APPLICATION OF SUPERVISED LEARNING
DEEP LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Softmax
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ReLu
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Sigmoid
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Tanh
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Detailed explanation-1: -Which of the following functions can be used as an activation function in the output layer if we wish to predict the probabilities of n classes (p1, p2.. pk) such that sum of p over all n equals to 1? Explanation : Softmax function is of the form in which the sum of probabilities over all k sum to 1.
Detailed explanation-2: -Sigmoid / Logistic Activation Function It is commonly used for models where we have to predict the probability as an output. Since probability of anything exists only between the range of 0 and 1, sigmoid is the right choice because of its range.
Detailed explanation-3: -sigmoid can be used for regression of bounded quantities, such as probabilities between 0 and 1, and also for classification into two categories such as male/female.