What are cases and variables?

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What are conjugate gradients, levenberg-marquardt, etc.?

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What are neural networks and how do they relate to ai?

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Explain Generative Adversarial Network.

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How are artificial neural networks different from normal computers?

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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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A 4-input neuron has weights 1, 2, 3 and 4. The transfer function is linear with the constant of proportionality being equal to 2. The inputs are 4, 10, 5 and 20 respectively. The output will be: a) 238 b) 76 c) 119 d) 123

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What are the population, sample, training set, design set, validation set, and test set?

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What are the different layers in CNN?

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A perceptron adds up all the weighted inputs it receives, and if it exceeds a certain value, it outputs a 1, otherwise it just outputs a 0. a) True b) False c) Sometimes – it can also output intermediate values as well d) Can’t say

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Explain neural networks?

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

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