Which of the following is/are true about the Perceptron classifier? A) It can learn a OR function B) It can learn a AND function C) The obtained separating hyperplane depends on the order in which the points are presented in the training process. D) For a linearly separable problem, there exists some initialization of the weights which might lead to non-convergent cases. You may submit any number of times before the due date. The final submission will be considered for grading.
Answers
Answered by
1
Correct answers are A, B, C
A) It can learn a OR function
B) It can learn a AND function
C) The obtained separating hyperplane depends on the order in which the points are presented in the training process.
Similar questions