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
How does an LSTM network work?
What is Pooling in CNN and how does it work?
Neural Networks are complex ______________ with many parameters. a) Linear Functions b) Nonlinear Functions c) Discrete Functions d) Exponential Functions
How many kinds of kohonen networks exist?
How human brain works?
What is the role of activation functions in a Neural Network?
Which of the following is true for neural networks? (i) The training time depends on the size of the network. (ii) Neural networks can be simulated on a conventional computer. (iii) Artificial neurons are identical in operation to biological ones. a) All of the mentioned b) (ii) is true c) (i) and (ii) are true d) None of the mentioned
Explain neural networks?
How are layers counted?
What are the population, sample, training set, design set, validation set, and test set?
How artificial neural networks can be applied in future?
Which is the similar operation performed by the drop-out in neural network?