What are neural networks and how do they relate to ai?

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What are combination, activation, error, and objective functions?

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The network that involves backward links from output to the input and hidden layers is called as ____. a) Self organizing maps b) Perceptrons c) Recurrent neural network d) Multi layered perceptron

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 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

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How many kinds of nns exist?

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what are some advantages and disadvantages of neural network?

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What are conjugate gradients, levenberg-marquardt, etc.?

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. Why are linearly separable problems of interest of neural network researchers? a) Because they are the only class of problem that network can solve successfully b) Because they are the only class of problem that Perceptron can solve successfully c) Because they are the only mathematical functions that are continue d) Because they are the only mathematical functions you can draw

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How to avoid overflow in the logistic function?

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What is a neural network and what are some advantages and disadvantages of such a network?

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What are the population, sample, training set, design set, validation set, and test set?

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 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

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