Which of the following would have a constant input in each epoch of training a Deep Learning model?

Deep Learning - Quiz(MCQ)

Weight between input and hidden layer

Weight between hidden and output layer

Activation function of output layer

Biases of all hidden layer neurons

Correct Answer : Weight between input and hidden layer

Explanation : Weights between input and hidden layer are constant.

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.

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