APPLICATION OF SUPERVISED LEARNING
PERCEPTRON
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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the classifier weights change after every example.
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it computes statistics over the entire dataset, and then sets the weights in a single operation.
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Either A or B
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None of the above
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Detailed explanation-1: -Expert-Verified Answer. Answer: A, B, C are true about the Perceptron classifier. It can learn a OR function, It can learn a AND function, The obtained separating hyperplane depends on the order in which the points are presented in the training process is the Perceptron classifier.
Detailed explanation-2: -Perceptron is a classic online algorithm for learning a classification function.
Detailed explanation-3: -A perceptron model has limitations as follows: The output of a perceptron can only be a binary number (0 or 1) due to the hard limit transfer function. Perceptron can only be used to classify the linearly separable sets of input vectors. If input vectors are non-linear, it is not easy to classify them properly.