MCQOPTIONS
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MCQOPTIONS
This section includes 3 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. |
How can learning process be stopped in backpropagation rule? |
| A. | there is convergence involved |
| B. | no heuristic criteria exist |
| C. | on basis of average gradient value |
| D. | none of the mentioned |
| Answer» D. none of the mentioned | |
| 2. |
Does backpropagaion learning is based on gradient descent along error surface? |
| A. | yes |
| B. | no |
| C. | cannot be said |
| D. | it depends on gradient descent but not error surface |
| Answer» B. no | |
| 3. |
What is meant by generalized in statement backpropagation is a generalized delta rule ? |
| A. | because delta rule can be extended to hidden layer units |
| B. | because delta is applied to only input and output layers, thus making it more simple and generalized |
| C. | it has no significance |
| D. | none of the mentioned |
| Answer» B. because delta is applied to only input and output layers, thus making it more simple and generalized | |