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

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

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What learning rate should be used for backprop?

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How are artificial neural networks different from normal computers?

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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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How many kinds of kohonen networks exist?

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How are weights initialized in a network?

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 Which of the following is true? Single layer associative neural networks do not have the ability to: (i) perform pattern recognition (ii) find the parity of a picture (iii)determine whether two or more shapes in a picture are connected or not a) (ii) and (iii) are true b) (ii) is true c) All of the mentioned d) None of the mentioned

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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 is backprop?

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

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