Answer / clara

a

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

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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 is the advantage of pooling layer in convolutional neural networks?

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What is the role of activation functions in a Neural Network?

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How artificial neurons learns?

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Why use artificial neural networks? What are its advantages?

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A 4-input neuron has weights 1, 2, 3 and 4. The transfer function is linear with the constant of proportionality being equal to 2. The inputs are 4, 10, 5 and 20 respectively. The output will be: a) 238 b) 76 c) 119 d) 123

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What are the disadvantages of artificial neural networks?

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How are layers counted?

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How neural networks became a universal function approximators?

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

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