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

A)  It can be used for feature pooling
B)  It can help in dimensionality reduction
C)  It suffers less overfitting due to small kernel size
D)  All of the above

Correct Answer :   All of the above

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

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