APPLICATION OF SUPERVISED LEARNING
DEEP LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Cannot solve non-linearly separable problem
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Cannot handle very large data
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Assume normal distribution
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Assume independent of features
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Detailed explanation-1: -In the case of a single perceptron-literature states that it cannot be used for seperating non-linear discriminant cases like the XOR function. This is understandable since the VC-dimension of a line (in 2-D) is 3 and so a single 2-D line cannot discriminate outputs like XOR.
Detailed explanation-2: -A single perceptron can only be used to implement linearly separable functions. It takes both real and boolean inputs and associates a set of weights to them, along with a bias (the threshold thing I mentioned above).
Detailed explanation-3: -Explanation: Linearly separable problems of interest of neural network researchers because they are the only class of problem that Perceptron can solve successfully. 4. Which of the following is not the promise of artificial neural network? Explanation: The artificial Neural Network (ANN) cannot explain result.