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What are cases and variables?
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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
How artificial neurons learns?
What is the role of activation functions in a Neural Network?
. 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
What are neural networks? What are the types of neural networks?
Explain in detail Neural Networks?
How to avoid overflow in the logistic function?
How many kinds of nns exist?
How many kinds of kohonen networks exist?
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
What is a Neural Network?
List some commercial practical applications of artificial neural networks?
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