Which of the following does the convolutional neural network structure not include?

The correct answer is C. Loop layer. Option C, the "Loop layer," is correct because no such layer exists in standard convolutional neural network (CNN) architecture - it is a fabricated term. Convolutional layers (A) are fundamental to CNNs, applying filters to detect features like edges and textures across input…

Deep Learning Basics

Question

Options

AConvolutional layer
BPooling layer
CLoop layer
DFully connected layer

How the community answered

(17 responses)

A
12% (2)
C
82% (14)
D
6% (1)

Explanation

Option C, the "Loop layer," is correct because no such layer exists in standard convolutional neural network (CNN) architecture - it is a fabricated term. Convolutional layers (A) are fundamental to CNNs, applying filters to detect features like edges and textures across input data. Pooling layers (B) are a core component used to reduce spatial dimensions and computational load while retaining important features. Fully connected layers (D) appear at the end of most CNNs to combine learned features and produce final class predictions.

Memory tip: Think of a CNN as a pipeline - Convolve, Pool, then Connect (C-P-C). Any layer name that does not fit this pipeline, like "Loop," is a red flag and almost certainly the odd one out.

Topics

#Convolutional Neural Networks#CNN Architecture#Neural Network Layers#Deep Learning Components

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