Explain in detail 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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 A perceptron is: a) a single layer feed-forward neural network with pre-processing b) an auto-associative neural network c) a double layer auto-associative neural network d) a neural network that contains feedback

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Explain Generative Adversarial Network.

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The name for the function in question 16 is a) Step function b) Heaviside function c) Logistic function d) Perceptron function

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Which is the similar operation performed by the drop-out in neural network?

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Who is concerned with nns?

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What is artificial intelligence neural networks?

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How does an LSTM network work?

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 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 back propagation? a) It is another name given to the curvy function in the perceptron b) It is the transmission of error back through the network to adjust the inputs c) It is the transmission of error back through the network to allow weights to be adjusted so that the network can learn. d) None of the mentioned

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List some commercial practical applications of artificial neural networks?

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