Which of the following is an application of NN (Neural Network)? a) Sales forecasting b) Data validation c) Risk management d) All of the mentioned

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What is a Neural Network?

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How to avoid overflow in the logistic function?

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What is Pooling in CNN and how does it work?

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

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What can you do with an nn and what not?

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Explain in detail Neural Networks?

4 Answers   TCS,

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 A 3-input neuron is trained to output a zero when the input is 110 and a one when the input is 111. After generalization, the output will be zero when and only when the input is: a) 000 or 110 or 011 or 101 b) 010 or 100 or 110 or 101 c) 000 or 010 or 110 or 100 d) 100 or 111 or 101 or 001

1 Answers   HCL,

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

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

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 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

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How are weights initialized in a network?

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