An auto-associative network is: a) a neural network that contains no loops b) a neural network that contains feedback c) a neural network that has only one loop d) a single layer feed-forward neural network with pre-processing

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

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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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What learning rate should be used for backprop?

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What is artificial intelligence neural networks?

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Explain neural networks?

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How human brain works?

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what are some advantages and disadvantages of neural network?

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What is backprop?

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Why use artificial neural networks? What are its advantages?

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

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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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