Neural networks · Question 50 of 60
Which logical function can a single-layer perceptron learn?
1 answer is correct. Hard
Show answer
Answer
- D The AND function, because it is linearly separable
Explanation
The single-layer perceptron can learn binary classifiers for linearly separable problems by separating the classes with a straight line in the input space. The AND function is linearly separable, so a perceptron can learn it until the error is zero. XOR is not linearly separable and therefore beyond what a single perceptron can do.