APPLICATION OF SUPERVISED LEARNING
DEEP LEARNING
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Question
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Input layer contains “n” inputs, hidden layer has “h” number of nodes. What is the dimensionality of weight matrix (consider presence of “bias term”)?
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(n+1) x h
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n x (h+1)
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n x (h-1)
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(n-1) x h
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Explanation:
Detailed explanation-1: -The number of hidden neurons should be between the size of the input layer and the size of the output layer. The number of hidden neurons should be 2/3 the size of the input layer, plus the size of the output layer. More items
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