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Artificial Neural Networks Multiple Choice Questions (MCQ) Online Test #13

Artificial Neural Networks MCQ #121:

Which activation function is known for outputting values in the range of -1 to 1?

About Artificial Neural Networks Multiple Choice Question (MCQ) #121:
This ICT Multiple Choice Question (ICT MCQ) #121 focuses on Artificial Neural Networks within the "Advanced ICT MCQ" category. This question checks understanding of the range and behavior of the Tanh activation function.
Artificial Neural Networks MCQ #122:

What does backpropagation compute to update the weights in a neural network?

About Artificial Neural Networks Multiple Choice Question (MCQ) #122:
This ICT Multiple Choice Question (ICT MCQ) #122 focuses on Artificial Neural Networks within the "Advanced ICT MCQ" category. This question examines what backpropagation calculates to adjust the weights of the network.
Artificial Neural Networks MCQ #123:

What is one common symptom of overfitting in a neural network?

About Artificial Neural Networks Multiple Choice Question (MCQ) #123:
This ICT Multiple Choice Question (ICT MCQ) #123 focuses on Artificial Neural Networks within the "Advanced ICT MCQ" category. This question evaluates the symptoms of overfitting in model performance.
Artificial Neural Networks MCQ #124:

What is the main difference between SGD and Mini-batch Gradient Descent?

About Artificial Neural Networks Multiple Choice Question (MCQ) #124:
This ICT Multiple Choice Question (ICT MCQ) #124 focuses on Artificial Neural Networks within the "Advanced ICT MCQ" category. This question assesses the difference between Stochastic Gradient Descent (SGD) and Mini-batch Gradient Descent.
Artificial Neural Networks MCQ #125:

What is the purpose of the cell state in an LSTM network?

About Artificial Neural Networks Multiple Choice Question (MCQ) #125:
This ICT Multiple Choice Question (ICT MCQ) #125 focuses on Artificial Neural Networks within the "Advanced ICT MCQ" category. This question assesses the role of the cell state in LSTM networks.
Artificial Neural Networks MCQ #126:

Which of the following best describes transfer learning?

About Artificial Neural Networks Multiple Choice Question (MCQ) #126:
This ICT Multiple Choice Question (ICT MCQ) #126 focuses on Artificial Neural Networks within the "Advanced ICT MCQ" category. This question evaluates the concept of transfer learning, specifically its definition.
Artificial Neural Networks MCQ #127:

What is a common application of autoencoders in neural networks?

About Artificial Neural Networks Multiple Choice Question (MCQ) #127:
This ICT Multiple Choice Question (ICT MCQ) #127 focuses on Artificial Neural Networks within the "Advanced ICT MCQ" category. This question evaluates the common applications of autoencoders in neural networks.
Artificial Neural Networks MCQ #128:

In reinforcement learning, what does the term "exploration" refer to?

About Artificial Neural Networks Multiple Choice Question (MCQ) #128:
This ICT Multiple Choice Question (ICT MCQ) #128 focuses on Artificial Neural Networks within the "Advanced ICT MCQ" category. This question evaluates the concept of "exploration" in reinforcement learning.
Artificial Neural Networks MCQ #129:

How can neural networks impact job automation and employment?

About Artificial Neural Networks Multiple Choice Question (MCQ) #129:
This ICT Multiple Choice Question (ICT MCQ) #129 focuses on Artificial Neural Networks within the "Advanced ICT MCQ" category. This question evaluates how neural networks can impact job automation and employment.
Artificial Neural Networks MCQ #130:

What is a challenge associated with training neural networks on limited hardware resources?

About Artificial Neural Networks Multiple Choice Question (MCQ) #130:
This ICT Multiple Choice Question (ICT MCQ) #130 focuses on Artificial Neural Networks within the "Advanced ICT MCQ" category. This question evaluates a challenge associated with training neural networks on limited hardware resources.
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  • This online test, titled "Artificial Neural Networks Multiple Choice Questions (MCQ) Online Test #13" 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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