Answer / clara

a

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

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How are artificial neural networks different from normal computers?

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

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How are nns related to statistical methods?

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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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How does ill-conditioning affect nn training?

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Explain neural networks?

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Having multiple perceptrons can actually solve the XOR problem satisfactorily: this is because each perceptron can partition off a linear part of the space itself, and they can then combine their results. a) True – this works always, and these multiple perceptrons learn to classify even complex problems. b) False – perceptrons are mathematically incapable of solving linearly inseparable functions, no matter what you do c) True – perceptrons can do this but are unable to learn to do it – they have to be explicitly hand-coded d) False – just having a single perceptron is enough

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What are cases and variables?

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What is a Neural Network?

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What is simple artificial neuron?

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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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