Which of the following is true?
(i) On average, neural networks have higher computational rates than conventional computers.
(ii) Neural networks learn by example.
(iii) Neural networks mimic the way the human brain works.
a) All of the mentioned are true
b) (ii) and (iii) are true
c) (i), (ii) and (iii) are true
d) None of the mentioned
What can you do with an nn and what not?
What are cases and variables?
Which is the similar operation performed by the drop-out in neural network?
Explain Generative Adversarial Network.
How many kinds of nns exist?
Explain neural networks?
What are the applications of a Recurrent Neural Network (RNN)?
Who is concerned with nns?
What are conjugate gradients, levenberg-marquardt, etc.?
What are the advantages of neural networks over conventional computers? (i) They have the ability to learn by example (ii) They are more fault tolerant (iii)They are more suited for real time operation due to their high ‘computational’ rates a) (i) and (ii) are true b) (i) and (iii) are true c) Only (i) d) All of the mentioned
Which of the following is not the promise of artificial neural network? a) It can explain result b) It can survive the failure of some nodes c) It has inherent parallelism d) It can handle noise
What is the advantage of pooling layer in convolutional neural networks?