What are artificial neural networks?

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Explain neural networks?

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Neural Networks are complex ______________ with many parameters. a) Linear Functions b) Nonlinear Functions c) Discrete Functions d) Exponential Functions

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What are neural networks? What are the types of neural networks?

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What are the applications of a Recurrent Neural Network (RNN)?

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What is simple artificial neuron?

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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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What can you do with an nn and what not?

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

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How does ill-conditioning affect nn training?

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

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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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