How are artificial neural networks different from normal computers?

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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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How to avoid overflow in the logistic function?

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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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what are some advantages and disadvantages of neural network?

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How many kinds of nns exist?

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How are layers counted?

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 Which of the following is not the promise of artificial neural network? a) It can explain result b) It can survive the failure of some nodes c) It has inherent parallelism d) It can handle noise

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What is the advantage of pooling layer in convolutional neural networks?

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List some commercial practical applications of artificial neural networks?

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What is the difference between a Feedforward Neural Network and Recurrent Neural 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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