MCQOPTIONS
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MCQOPTIONS
This section includes 9 Mcqs, each offering curated multiple-choice questions to sharpen your Neural Network knowledge and support exam preparation. Choose a topic below to get started.
| 1. |
Boltzman learning is a? |
| A. | fast process |
| B. | steady process |
| C. | slow process |
| D. | none of the mentioned |
| Answer» E. | |
| 2. |
In boltzman learning which algorithm can be used to arrive at equilibrium? |
| A. | hopfield |
| B. | mean field |
| C. | hebb |
| D. | none of the mentioned |
| Answer» E. | |
| 3. |
8.False minima can be reduced by deterministic updates? |
| A. | yes |
| B. | no |
| Answer» C. | |
| 4. |
Approximately how much times the boltzman learning get speeded up using mean field approximation? |
| A. | 5-10 |
| B. | 10-30 |
| C. | 30-50 |
| D. | 50-70 |
| Answer» C. 30-50 | |
| 5. |
What happens when we use mean field approximation with boltzman learning? |
| A. | it slows down |
| B. | it get speeded up |
| C. | nothing happens |
| D. | may speedup or speed down |
| Answer» C. nothing happens | |
| 6. |
For practical implementation what type of approximation is used on boltzman law? |
| A. | max field approximation |
| B. | min field approximation |
| C. | hopfield approximation |
| D. | none of the mentioned |
| Answer» E. | |
| 7. |
Is Boltzman law practical for implementation? |
| A. | yes |
| B. | no |
| Answer» C. | |
| 8. |
How is effect false minima reduced |
| A. | deterministic update of weights |
| B. | stochastic update of weights |
| C. | deterministic or stochastic update of weights |
| D. | none of the mentioned |
| Answer» C. deterministic or stochastic update of weights | |
| 9. |
Presence of false minima will have what effect on probability of error in recall? |
| A. | directly |
| B. | inversely |
| C. | no effect |
| D. | directly or inversely |
| Answer» B. inversely | |