How to avoid overflow in the logistic function?
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How artificial neurons learns?
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
How to avoid overflow in the logistic function?
How artificial neural networks can be applied in future?
Who is concerned with nns?
What are combination, activation, error, and objective functions?
How does ill-conditioning affect nn training?
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
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
Explain Generative Adversarial Network.
What is backprop?
How many kinds of kohonen networks exist?
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