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Convolutional Neural Network CNN: What is the Number of Output Layers in This Neural Network?

Discover how to determine the number of output layers in a neural network. Learn about neural network architecture and identify output layers for your CNN certification exam.

Table of Contents

Question

How many output layers have the following Neural network?

How many output layers have the following Neural network?

A. 1
B. 2
C. 3
D. 4

Answer

A. 1

Explanation

The neural network depicted in the images is a fully connected (dense) neural network. To determine the number of output layers, it’s essential to understand the structure of such networks:

  • Input Layer: The first layer, where data enters the network.
  • Hidden Layers: Intermediate layers where computations are performed.
  • Output Layer: The final layer that produces the network’s predictions or outputs.

In both images provided, the network has several layers, but only one is an output layer. This is typically the last layer in the architecture, responsible for producing the final results based on the inputs processed through all previous layers.

Thus, the correct answer is:

A. 1

This means there is one output layer in the neural network shown.

Convolutional Neural Network CNN: What is the Number of Output Layers in This Neural Network?

Convolutional Neural Network CNN certification exam assessment practice question and answer (Q&A) dump including multiple choice questions (MCQ) and objective type questions, with detail explanation and reference available free, helpful to pass the Convolutional Neural Network CNN exam and earn Convolutional Neural Network CNN certification.