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

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What is a neural network and what are some advantages and disadvantages of such a network?

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What is simple artificial neuron?

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

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What are batch, incremental, on-line, off-line, deterministic, stochastic, adaptive, instantaneous, pattern, constructive, and sequential learning?

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How human brain works?

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What are the different layers in CNN?

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What are cases and variables?

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 Which of the following is true? (i) On average, neural networks have higher computational rates than conventional computers. (ii) Neural networks learn by example. (iii) Neural networks mimic the way the human brain works. a) All of the mentioned are true b) (ii) and (iii) are true c) (i), (ii) and (iii) are true d) None of the mentioned

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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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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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Neural Networks are complex ______________ with many parameters. a) Linear Functions b) Nonlinear Functions c) Discrete Functions d) Exponential Functions

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