APPLICATION OF SUPERVISED LEARNING
PERCEPTRON
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Online Learning ____ batch Learning
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batch Learning ____ Online Learning
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Online Learning ____ Online Learning
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batch Learning ____ batch Learning
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Detailed explanation-1: -A perceptron is a linear threshold function. That means it has a weight vector w, and it outputs w⋅x>t, where x is the input vector and t the threshold. Naïve Bayes makes the assumption that all features are independent (hence the term naïve).
Detailed explanation-2: -Perceptron is an algorithm for Supervised Learning of single layer binary linear classifiers. Optimal weight coefficients are automatically learned. Weights are multiplied with the input features and decision is made if the neuron is fired or not.
Detailed explanation-3: -Perceptron is a machine learning algorithm for supervised learning of binary classifiers. In Perceptron, the weight coefficient is automatically learned. Initially, weights are multiplied with input features, and the decision is made whether the neuron is fired or not.