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 neural networks became a universal function approximators?
What are the population, sample, training set, design set, validation set, and test set?
What is a Neural Network?
What is artificial intelligence neural networks?
What is the difference between a Feedforward Neural Network and Recurrent 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
Why use artificial neural networks? What are its advantages?
How does ill-conditioning affect nn training?
What are neural networks? What are the types of neural networks?
What are neural networks and how do they relate to ai?
How to avoid overflow in the logistic function?
What are cases and variables?
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