CompTIA
DY0-001 · Question #84
Which of the following types of layers is used to downsample feature detection when using a convolutional neural network?
The correct answer is A. Pooling. Pooling layers (such as max pooling or average pooling) reduce the spatial dimensions of the feature maps by summarizing local neighborhoods, effectively downsampling the detected features and controlling overfitting.
Machine Learning
Question
Which of the following types of layers is used to downsample feature detection when using a convolutional neural network?
Options
- APooling
- BInput
- COutput
- DHidden
How the community answered
(36 responses)- A92% (33)
- C3% (1)
- D6% (2)
Explanation
Pooling layers (such as max pooling or average pooling) reduce the spatial dimensions of the feature maps by summarizing local neighborhoods, effectively downsampling the detected features and controlling overfitting.
Topics
#convolutional neural networks#pooling layers#downsampling#feature maps
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