APPLICATION OF SUPERVISED LEARNING
DEEP LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Number of output cases depends on what factor?
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number of inputs
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number of distinct classes
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total number of classes
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none of the mentioned
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Explanation:
Detailed explanation-1: -2. On what factor the number of outputs depends? Explanation: Number of outputs depends on number of classes.
Detailed explanation-2: -The amount of output of one unit received by another unit depends on what? Explanation: Activation is sum of wieghted sum of inputs, which gives desired output.. hence output depends on weights.
Detailed explanation-3: -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.
There is 1 question to complete.