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?

Deep Learning - Quiz(MCQ)

Tanh

Softmax

ReLu

Sigmoid

Correct Answer : Softmax

Explanation : Softmax function is of the form in which the sum of probabilities over all k sum to 1.

Recently Updated in Deep Learning Questions

What is a Boltzman machine?

A feedback network with hidden units

A feed forward network with hidden units

A feedback network with hidden units and probabilistic update

A feed forward network with hidden units and probabilistic update

Correct Answer : A feedback network with hidden units and probabilistic update

Explanation : Boltzman machine is a feedback network with hidden units and probabilistic update.

Assume a simple MLP model with 3 neurons and inputs= 1,2,3. The weights to the input neurons are 4,5 and 6 respectively. Assume the activation function is a linear constant value of 3. What will be the output ?

128

256

Correct Answer : 96

Explanation : The output will be calculated as 3(1*4+2*5+6*3) = 96

Sentiment analysis using Deep Learning is a many-to one prediction task

True

False

Correct Answer : True

Explanation : Option A is correct. This is because from a sequence of words, you have to predict whether the sentiment was positive or negative.