CompTIA
DY0-001 · Question #48
Which of the following is the layer that is responsible for the depth in deep learning?
The correct answer is D. Hidden. "Depth" in a neural network refers to the number of hidden layers it contains. Convolution and pooling are specific operations within those layers, and dropout is a regularization technique - not what defines the network's depth.
Machine Learning
Question
Which of the following is the layer that is responsible for the depth in deep learning?
Options
- AConvolution
- BDropout
- CPooling
- DHidden
How the community answered
(47 responses)- A6% (3)
- B2% (1)
- C2% (1)
- D89% (42)
Explanation
"Depth" in a neural network refers to the number of hidden layers it contains. Convolution and pooling are specific operations within those layers, and dropout is a regularization technique - not what defines the network's depth.
Topics
#deep learning#hidden layers#neural networks#model architecture
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