MCQOPTIONS
Saved Bookmarks
MCQOPTIONS
This section includes 11 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. |
The number of units in hidden layers depends on? |
| A. | the number of inputs |
| B. | the number of outputs |
| C. | both the number of inputs and outputs |
| D. | the overall characteristics of the mapping problem |
| Answer» E. | |
| 2. |
How is hard learning problem solved? |
| A. | using nonlinear differentiable output function for output layers |
| B. | using nonlinear differentiable output function for hidden layers |
| C. | using nonlinear differentiable output function for output and hidden layers |
| D. | it cannot be solved |
| Answer» D. it cannot be solved | |
| 3. |
HOW_IS_HARD_LEARNING_PROBLEM_SOLVED??$ |
| A. | using nonlinear differentiable output function for output layers |
| B. | using nonlinear differentiable output function for hidden layers |
| C. | using nonlinear differentiable output function for output and hidden layers |
| D. | it cannot be solved |
| Answer» D. it cannot be solved | |
| 4. |
The_number_of_units_in_hidden_layers_depends_on?$ |
| A. | the number of inputs |
| B. | the number of outputs |
| C. | both the number of inputs and outputs |
| D. | the overall characteristics of the mapping problem |
| Answer» E. | |
| 5. |
The nature of mapping problem decides? |
| A. | number of units in second layer |
| B. | number of units in third layer |
| C. | overall number of units in hidden layers |
| D. | none of the mentioned |
| Answer» D. none of the mentioned | |
| 6. |
Does an approximate system produce strictly an interpolated output? |
| A. | yes |
| B. | no |
| Answer» C. | |
| 7. |
To provide generalization capability to a network, what should be done? |
| A. | all units should be linear |
| B. | all units should be non – linear |
| C. | except input layer, all units in other layers should be non – linear |
| D. | none of the mentioned |
| Answer» D. none of the mentioned | |
| 8. |
What is the objective of pattern mapping problem? |
| A. | to capture weights for a link |
| B. | to capture inputs |
| C. | to capture feedbacks |
| D. | to capture implied function |
| Answer» E. | |
| 9. |
Can mapping problem be a more general case of pattern classification problem? |
| A. | yes |
| B. | no |
| Answer» B. no | |
| 10. |
What is a mapping problem? |
| A. | when no restrictions such as linear separability is placed on the set of input – output pattern pairs |
| B. | when there may be restrictions such as linear separability placed on input – output patterns |
| C. | when there are restriction but other than linear separability |
| D. | none of the mentioned |
| Answer» B. when there may be restrictions such as linear separability placed on input ‚Äö√Ñ√∂‚àö√ë‚àö¬® output patterns | |
| 11. |
Can all hard problems be handled by a multilayer feedforward neural network, with nonlinear units? |
| A. | yes |
| B. | no |
| Answer» B. no | |