MCQOPTIONS
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MCQOPTIONS
This section includes 14 Mcqs, each offering curated multiple-choice questions to sharpen your Neural Networks knowledge and support exam preparation. Choose a topic below to get started.
| 1. |
Where does a stochastic network exhibits stable states ? |
| A. | at any temperature |
| B. | above critical temperature |
| C. | at critical temperature |
| D. | below critical temperature |
| Answer» E. | |
| 2. |
When activation value is determined by using the average of fluctuations of outputs from other units, it is known as? |
| A. | maximum field approximation |
| B. | median field approximation |
| C. | minimum field approximation |
| D. | none of the mentioned |
| Answer» E. | |
| 3. |
Is it possible in stochastic network that average state of network doesn’t change with time? |
| A. | yes |
| B. | no |
| Answer» B. no | |
| 4. |
In case of stochastic update, what kind of equilibrium is reached? |
| A. | static |
| B. | dynamic |
| C. | neutral |
| D. | equilibrium not possible |
| Answer» C. neutral | |
| 5. |
p(s=1|x) = 1/(1+exp(-x/T))) ,where ‘s’ is the output given the activation ‘x’ is a? |
| A. | hopfield network |
| B. | sigma network |
| C. | stochastic network |
| D. | none of the mentioned |
| Answer» D. none of the mentioned | |
| 6. |
WHEN_ACTIVATION_VALUE_IS_DETERMINED_BY_USING_THE_AVERAGE_OF_FLUCTUATIONS_OF_OUTPUTS_FROM_OTHER_UNITS,_IT_IS_KNOWN_AS??$ |
| A. | maximum field approximation |
| B. | median field approximation |
| C. | minimum field approximation |
| D. | none of the mentioned |
| Answer» E. | |
| 7. |
Where_does_a_stochastic_network_exhibits_stable_states_?$ |
| A. | at any temperature |
| B. | above critical temperature |
| C. | at critical temperature |
| D. | below critical temperature |
| Answer» E. | |
| 8. |
Can networks with symmetric weight reach thermal equilibrium? |
| A. | yes |
| B. | no |
| Answer» B. no | |
| 9. |
What can be the possible reason for thermal equilibrium in stochastic networks? |
| A. | probability distribution of states changes and compensates |
| B. | probability distribution change with only update |
| C. | probability distribution does not change with time |
| D. | none of the mentionedstochastic network exhibits stable states |
| Answer» D. none of the mentionedstochastic network exhibits stable states | |
| 10. |
Is it possible in stochastic network that average state of network doesn’t change with time?$ |
| A. | yes |
| B. | no |
| Answer» B. no | |
| 11. |
In case of stochastic update, can static equilibrium be reached? |
| A. | yes |
| B. | no |
| Answer» C. | |
| 12. |
In case of deterministic update, what kind of equilibrium is reached? |
| A. | static |
| B. | dynamic |
| C. | neutral |
| D. | none of the mentioned |
| Answer» B. dynamic | |
| 13. |
Does a stochastic network will evolve differently each time it is run? |
| A. | yes |
| B. | no |
| Answer» B. no | |
| 14. |
p(s=1|x) = 1/(1+exp(-x/T))) ,where ‘s’ is the output given the activation ‘x’ is a? |
| A. | hopfield network |
| B. | sigma network |
| C. | stochastic network |
| D. | none of the mentioned |
| Answer» D. none of the mentioned | |