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Artificial Neural Networks Multiple Choice Questions (MCQ) Online Test #18

Artificial Neural Networks MCQ #171:

What type of neural network is commonly used for image recognition tasks?

About Artificial Neural Networks Multiple Choice Question (MCQ) #171:
This ICT Multiple Choice Question (ICT MCQ) #171 focuses on Artificial Neural Networks within the "Advanced ICT MCQ" category. This question identifies the type of neural network commonly used for image recognition tasks.
Artificial Neural Networks MCQ #172:

What is a primary characteristic of a "deep" neural network?

About Artificial Neural Networks Multiple Choice Question (MCQ) #172:
This ICT Multiple Choice Question (ICT MCQ) #172 focuses on Artificial Neural Networks within the "Advanced ICT MCQ" category. This question defines a primary characteristic of a "deep" neural network.
Artificial Neural Networks MCQ #173:

In neural networks, what does the term "weights" refer to?

About Artificial Neural Networks Multiple Choice Question (MCQ) #173:
This ICT Multiple Choice Question (ICT MCQ) #173 focuses on Artificial Neural Networks within the "Advanced ICT MCQ" category. This question clarifies what the term "weights" refers to in neural networks.
Artificial Neural Networks MCQ #174:

What is the main purpose of using a "softmax" function in the output layer of a neural network?

About Artificial Neural Networks Multiple Choice Question (MCQ) #174:
This ICT Multiple Choice Question (ICT MCQ) #174 focuses on Artificial Neural Networks within the "Advanced ICT MCQ" category. This question describes the main purpose of using a "softmax" function in the output layer of a neural network.
Artificial Neural Networks MCQ #175:

Which of the following is a common activation function used in hidden layers of neural networks?

About Artificial Neural Networks Multiple Choice Question (MCQ) #175:
This ICT Multiple Choice Question (ICT MCQ) #175 focuses on Artificial Neural Networks within the "Advanced ICT MCQ" category. This question identifies a common activation function used in hidden layers of neural networks.
Artificial Neural Networks MCQ #176:

What is the main purpose of "batch normalization" in neural networks?

About Artificial Neural Networks Multiple Choice Question (MCQ) #176:
This ICT Multiple Choice Question (ICT MCQ) #176 focuses on Artificial Neural Networks within the "Advanced ICT MCQ" category. This question explores the main purpose of "batch normalization" in neural networks.
Artificial Neural Networks MCQ #177:

In an artificial neural network, what does "epoch" refer to?

About Artificial Neural Networks Multiple Choice Question (MCQ) #177:
This ICT Multiple Choice Question (ICT MCQ) #177 focuses on Artificial Neural Networks within the "Advanced ICT MCQ" category. This question defines what "epoch" refers to in an artificial neural network.
Artificial Neural Networks MCQ #178:

What type of neural network is particularly suited for sequential data analysis, such as time series or natural language?

About Artificial Neural Networks Multiple Choice Question (MCQ) #178:
This ICT Multiple Choice Question (ICT MCQ) #178 focuses on Artificial Neural Networks within the "Advanced ICT MCQ" category. This question identifies the type of neural network particularly suited for sequential data analysis.
Artificial Neural Networks MCQ #179:

What is the purpose of using "dropout" during the training of neural networks?

About Artificial Neural Networks Multiple Choice Question (MCQ) #179:
This ICT Multiple Choice Question (ICT MCQ) #179 focuses on Artificial Neural Networks within the "Advanced ICT MCQ" category. This question explains the purpose of using "dropout" during the training of neural networks.
Artificial Neural Networks MCQ #180:

In the context of artificial neural networks, what does "overfitting" refer to?

About Artificial Neural Networks Multiple Choice Question (MCQ) #180:
This ICT Multiple Choice Question (ICT MCQ) #180 focuses on Artificial Neural Networks within the "Advanced ICT MCQ" category. This question describes what "overfitting" refers to in the context of artificial neural networks.
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  • This online test, titled "Artificial Neural Networks Multiple Choice Questions (MCQ) Online Test #18" is designed for individuals at the advanced level and focuses on "Artificial Neural Networks". It consists of 10 carefully crafted multiple choice questions (MCQs) with five options each that assess advanced knowledge and understanding of the subject matter. This test aims to help participants evaluate their grasp of key concepts related to "Artificial Neural Networks".
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