In a simple MLP model with 8 neurons in the input layer, 5 neurons in the hidden layer and 1 neuron in the output layer. What is the size of the weight matrices between hidden output layer and input hidden layer?

Deep Learning - Quiz(MCQ)

[1 X 5] , [5 X 8]

[5 x 1] , [8 X 5]

[8 X 5] , [5 X 1]

[8 X 5] , [ 1 X 5]

Correct Answer : [5 x 1] , [8 X 5]

Explanation : The size of weights between any layer 1 and layer 2 Is given by [nodes in layer 1 X nodes in layer 2].

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A feed forward network with hidden units and probabilistic update

Correct Answer : A feedback network with hidden units and probabilistic update

Explanation : Boltzman machine is a feedback network with hidden units and probabilistic update.

Assume a simple MLP model with 3 neurons and inputs= 1,2,3. The weights to the input neurons are 4,5 and 6 respectively. Assume the activation function is a linear constant value of 3. What will be the output ?

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256

Correct Answer : 96

Explanation : The output will be calculated as 3(1*4+2*5+6*3) = 96

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Correct Answer : True

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