APPLICATION OF SUPERVISED LEARNING
ARTIFICIAL INTELLIGENCE
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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supervised learning
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deep learning
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Either A or B
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None of the above
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Detailed explanation-1: -at IDSIA showed that even deep standard neural networks with many layers can be quickly trained on GPU by supervised learning through the old method known as backpropagation.
Detailed explanation-2: -Perceptron. Developed by Frank Rosenblatt by using McCulloch and Pitts model, perceptron is the basic operational unit of artificial neural networks. It employs supervised learning rule and is able to classify the data into two classes.
Detailed explanation-3: -Backpropagation algorithm is probably the most fundamental building block in a neural network. It was first introduced in 1960s and almost 30 years later (1989) popularized by Rumelhart, Hinton and Williams in a paper called “Learning representations by back-propagating errors”.
Detailed explanation-4: -Ensemble learning combines the predictions from multiple neural network models to reduce the variance of predictions and reduce generalization error.