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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 6 of 8

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Q51.
p(s=1|x) = 1/(1+exp(-x/T))) ,where β€˜s’ is the output given the activation β€˜x’ is a?
Discuss
Answer: (c).stochastic network
Q52.
Does a stochastic network will evolve differently each time it is run?
Discuss
Answer: (a).YES
Q53.
In case of deterministic update, what kind of equilibrium is reached?
Discuss
Answer: (a).static
Q54.
In case of stochastic update, can static equilibrium be reached?
Discuss
Answer: (b).NO
Q55.
In case of stochastic update, what kind of equilibrium is reached?
Discuss
Answer: (b).dynamic
Q56.
Is it possible in stochastic network that average state of network doesn’t change with time?
Discuss
Answer: (a).YES
Discuss
Answer: (c).probability distribution does not change with time
Q58.
Can networks with symmetric weight reach thermal equilibrium?
Discuss
Answer: (a).YES
Q59.
When activation value is determined by using the average of fluctuations of outputs from other units, it is known as?
Discuss
Answer: (d).none of the mentioned
Q60.
Where does a stochastic network exhibits stable states ?
Discuss
Answer: (d).below critical temperature
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