AI Neural Networks Question:
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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

Answer:

b) Because they are the only class of problem that Perceptron can solve successfully
Explanation:
Linearly separable problems of interest of neural network researchers because they are the only class of problem that Perceptron can solve successfully

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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		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