APPLICATION OF SUPERVISED LEARNING
DEEP LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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When pooling layer is added in a convolutional neural network, translation in-variance is preserved. True or False?
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True
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False
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Either A or B
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None of the above
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Explanation:
Detailed explanation-1: -A pooling layer is used for this. The main objective of Pooling is to reduce the spatial dimensions of a CNN. To reduce the spatial dimensionality, it will perform the down-sampling operations and creates a pooled feature map by sliding a filter matrix over the input matrix.
Detailed explanation-2: -Convolutional Neural Networks Are Not Invariant to Translation, but They Can Learn to Be. When seeing a new object, humans can immediately recognize it across different retinal locations: the internal object representation is invariant to translation.
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