MCQOPTIONS
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MCQOPTIONS
This section includes 10 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. |
What is reinforcement learning? |
| A. | learning is based on evaluative signal |
| B. | learning is based o desired output for an input |
| C. | learning is based on both desired output & evaluative signal |
| D. | none of the mentioned |
| Answer» B. learning is based o desired output for an input | |
| 2. |
Error correction learning is like learning with teacher? |
| A. | yes |
| B. | no |
| Answer» B. no | |
| 3. |
Error correction learning is type of? |
| A. | supervised learning |
| B. | unsupervised learning |
| C. | can be supervised or unsupervised |
| D. | none of the mentioned |
| Answer» B. unsupervised learning | |
| 4. |
Widrows LMS algorithm is also based on error correction learning? |
| A. | yes |
| B. | no |
| Answer» B. no | |
| 5. |
Continuous perceptron learning is also known as delta learning? |
| A. | yes |
| B. | no |
| Answer» B. no | |
| 6. |
What is error correction learning? |
| A. | learning laws which modulate difference between synaptic weight & output signal |
| B. | learning laws which modulate difference between synaptic weight & activation value |
| C. | learning laws which modulate difference between actual output & desired output |
| D. | none of the mentioned |
| Answer» D. none of the mentioned | |
| 7. |
What is differential competitive learning? |
| A. | synaptic strength is proportional to changes of post & presynaptic neuron |
| B. | synaptic strength is proportional to changes of postsynaptic neuron only |
| C. | synaptic strength is proportional to changes of presynaptic neuron only |
| D. | none of the mentioned |
| Answer» E. | |
| 8. |
What is competitive learning? |
| A. | learning laws which modulate difference between synaptic weight & output signal |
| B. | learning laws which modulate difference between synaptic weight & activation value |
| C. | learning laws which modulate difference between actual output & desired output |
| D. | none of the mentioned |
| Answer» B. learning laws which modulate difference between synaptic weight & activation value | |
| 9. |
What is differential hebbian learning? |
| A. | synaptic strength is proportional to correlation between firing of post & presynaptic neuron |
| B. | synaptic strength is proportional to correlation between firing of postsynaptic neuron only |
| C. | synaptic strength is proportional to correlation between firing of presynaptic neuron only |
| D. | synaptic strength is proportional to changes in correlation between firing of post & presynaptic neuron |
| Answer» E. | |
| 10. |
What is hebbian learning? |
| A. | synaptic strength is proportional to correlation between firing of post & presynaptic neuron |
| B. | synaptic strength is proportional to correlation between firing of postsynaptic neuron only |
| C. | synaptic strength is proportional to correlation between firing of presynaptic neuron only |
| D. | none of the mentioned |
| Answer» B. synaptic strength is proportional to correlation between firing of postsynaptic neuron only | |