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Welcome to the Feedback Neural Networks MCQs Page

Dive deep into the fascinating world of Feedback Neural Networks with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Feedback Neural Networks, a crucial aspect of neural networks. In this section, you will encounter a diverse range of MCQs that cover various aspects of Feedback Neural Networks, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within neural networks.

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Check out the MCQs below to embark on an enriching journey through Feedback Neural Networks. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of neural networks.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Feedback Neural Networks. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Feedback Neural Networks MCQs | Page 8 of 8

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Q71.
For what purpose Feedback neural networks are primarily used?
Discuss
Answer: (d).none of the mentioned
Q72.
Presence of false minima will have what effect on probability of error in recall?
Discuss
Answer: (a).directly
Discuss
Answer: (b).stochastic update of weights
Q74.
Is Boltzman law practical for implementation?
Discuss
Answer: (b).NO
Q75.
For practical implementation what type of approximation is used on boltzman law?
Discuss
Answer: (d).none of the mentioned
Q76.
What happens when we use mean field approximation with boltzman learning?
Discuss
Answer: (b).it get speeded up
Q77.
Approximately how much times the boltzman learning get speeded up using mean field approximation?
Discuss
Answer: (b).10-30
Q78.
False minima can be reduced by deterministic updates?
Discuss
Answer: (b).NO
Q79.
In boltzman learning which algorithm can be used to arrive at equilibrium?
Discuss
Answer: (d).none of the mentioned
Discuss
Answer: (c).slow process
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