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This section includes 7 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. |
What is plasticity in neural networks? |
A. | input pattern keeps on changing |
B. | input pattern has become static |
C. | output pattern keeps on changing |
D. | output is static |
Answer» B. input pattern has become static | |
2. |
Example of a unsupervised feature map? |
A. | text recognition |
B. | voice recognition |
C. | image recognition |
D. | none of the mentioned |
Answer» C. image recognition | |
3. |
Does for feature mapping there s need of supervised learning? |
A. | yes |
B. | no |
Answer» C. | |
4. |
Does pattern classification & grouping involve same kind of learning? |
A. | yes |
B. | no |
Answer» C. | |
5. |
In pattern mapping problem in neural nets, is there any kind of generalization involved between input & output? |
A. | yes |
B. | no |
Answer» B. no | |
6. |
What s the main point of difference between human & machine intelligence? |
A. | human perceive everything as a pattern while machine perceive it merely as data |
B. | human have emotions |
C. | human have more IQ & intellect |
D. | human have sense organs |
Answer» B. human have emotions | |
7. |
Why do we need biological neural networks? |
A. | to solve tasks like machine vision & natural language processing |
B. | to apply heuristic search methods to find solutions of problem |
C. | to make smart human interactive & user friendly system |
D. | all of the mentioned |
Answer» E. | |