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Artificial Neural Networks Multiple Choice Questions (MCQ) Online Test #14

Artificial Neural Networks MCQ #131:

What is a disadvantage of the sigmoid activation function in deep neural networks?

About Artificial Neural Networks Multiple Choice Question (MCQ) #131:
This ICT Multiple Choice Question (ICT MCQ) #131 focuses on Artificial Neural Networks within the "Advanced ICT MCQ" category. This question tests knowledge of the limitations of the sigmoid activation function in deep networks.
Artificial Neural Networks MCQ #132:

During forward propagation, which mathematical operation is performed in each neuron?

About Artificial Neural Networks Multiple Choice Question (MCQ) #132:
This ICT Multiple Choice Question (ICT MCQ) #132 focuses on Artificial Neural Networks within the "Advanced ICT MCQ" category. This question focuses on the primary mathematical operation performed in neurons during forward propagation.
Artificial Neural Networks MCQ #133:

What is a technique used to address underfitting in a neural network?

About Artificial Neural Networks Multiple Choice Question (MCQ) #133:
This ICT Multiple Choice Question (ICT MCQ) #133 focuses on Artificial Neural Networks within the "Advanced ICT MCQ" category. This question tests knowledge of strategies to combat underfitting.
Artificial Neural Networks MCQ #134:

Which of the following is a common activation function used in CNNs for introducing non-linearity?

About Artificial Neural Networks Multiple Choice Question (MCQ) #134:
This ICT Multiple Choice Question (ICT MCQ) #134 focuses on Artificial Neural Networks within the "Advanced ICT MCQ" category. This question tests knowledge of activation functions commonly used in CNNs to introduce non-linearity.
Artificial Neural Networks MCQ #135:

How does the generator in a GAN improve over time?

About Artificial Neural Networks Multiple Choice Question (MCQ) #135:
This ICT Multiple Choice Question (ICT MCQ) #135 focuses on Artificial Neural Networks within the "Advanced ICT MCQ" category. This question evaluates how the generator network in GANs improves through training.
Artificial Neural Networks MCQ #136:

What aspect of deep learning models allows them to perform well on tasks involving large amounts of data?

About Artificial Neural Networks Multiple Choice Question (MCQ) #136:
This ICT Multiple Choice Question (ICT MCQ) #136 focuses on Artificial Neural Networks within the "Advanced ICT MCQ" category. This question assesses why deep learning models are effective for tasks involving large amounts of data.
Artificial Neural Networks MCQ #137:

Which neural network framework is typically used for research and prototyping due to its flexibility?

About Artificial Neural Networks Multiple Choice Question (MCQ) #137:
This ICT Multiple Choice Question (ICT MCQ) #137 focuses on Artificial Neural Networks within the "Advanced ICT MCQ" category. This question assesses which neural network framework is favored for research and prototyping because of its flexibility.
Artificial Neural Networks MCQ #138:

What type of neural network architecture is often used for detecting and recognizing objects in images?

About Artificial Neural Networks Multiple Choice Question (MCQ) #138:
This ICT Multiple Choice Question (ICT MCQ) #138 focuses on Artificial Neural Networks within the "Advanced ICT MCQ" category. This question assesses which type of neural network architecture is commonly used for detecting and recognizing objects in images.
Artificial Neural Networks MCQ #139:

What is a key advantage of using neural networks in big data analytics?

About Artificial Neural Networks Multiple Choice Question (MCQ) #139:
This ICT Multiple Choice Question (ICT MCQ) #139 focuses on Artificial Neural Networks within the "Advanced ICT MCQ" category. This question assesses a key advantage of using neural networks in big data analytics.
Artificial Neural Networks MCQ #140:

How can early stopping be beneficial in neural network training?

About Artificial Neural Networks Multiple Choice Question (MCQ) #140:
This ICT Multiple Choice Question (ICT MCQ) #140 focuses on Artificial Neural Networks within the "Advanced ICT MCQ" category. This question assesses how early stopping can be beneficial in neural network training.
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  • This online test, titled "Artificial Neural Networks Multiple Choice Questions (MCQ) Online Test #14" 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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