Which of the following statements is true when you use 1Ã—1 convolutions in a CNN?

Deep Learning - Quiz(MCQ)

It can be used for feature pooling

It can help in dimensionality reduction

It suffers less overfitting due to small kernel size

All of the above

Correct Answer : All of the above

Explanation : 1×1 convolutions are called bottleneck structure in CNN.

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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