Question

The hidden layer and output layer neurons have outputs given by zj = h (?Di=0 wji(1) xi) and yk = h (?Mi=0 wkj(2) zj) . Assume the network has D = 2 inputs, M = 3 hidden units and K = 2 outputs. The bias units have constant values x0 = z0 = 1 . Assume that the activation functions in the hidden layer are ReLu functions and that the activation functions in the output layer are given by the soft-max function. Suppose that the weights are given by w10(1) = -0.1, w11(1) = -0.8, w12(1) = 0.1 w20(1) = 0.4, w21(1) = 0.9, w22(1) = -0.5 w30(1) = 0.3, w31(1) = 0, w32(1) = -0.1 w10(2) = -1.6, w11(2) = -1.5, w12(2) = 0.2, w13(2) = 1 w20(2) = -1.7, w21(2) = 0.4, w22(2) = -0.3, w23(2) = 1.7 Suppose that the input to this network is given by x1 = -0.8 and x2 = 1 Give the output of the second hidden layer neuron to two decimal places.

          The hidden layer and output layer neurons have outputs given by zj = h (?Di=0 wji(1) xi) and yk = h (?Mi=0 wkj(2) zj) .

Assume the network has D = 2 inputs, M = 3 hidden units and K = 2 outputs. The bias units have constant values x0 = z0 = 1 . Assume that the activation functions in the hidden layer are ReLu functions and that the activation functions in the output layer are given by the soft-max function.

Suppose that the weights are given by
w10(1) = -0.1, w11(1) = -0.8, w12(1) = 0.1
w20(1) = 0.4, w21(1) = 0.9, w22(1) = -0.5
w30(1) = 0.3, w31(1) = 0, w32(1) = -0.1
w10(2) = -1.6, w11(2) = -1.5, w12(2) = 0.2, w13(2) = 1
w20(2) = -1.7, w21(2) = 0.4, w22(2) = -0.3, w23(2) = 1.7

Suppose that the input to this network is given by x1 = -0.8 and x2 = 1

Give the output of the second hidden layer neuron to two decimal places.

The hidden layer and output layer neurons have outputs given by zj = h (?Di=0 wji(1) xi) and yk = h (?Mi=0 wkj(2) zj) .

Assume the network has D = 2 inputs, M = 3 hidden units and K = 2 outputs. The bias units have constant values x0 = z0 = 1 . Assume that the activation functions in the hidden layer are ReLu functions and that the activation functions in the output layer are given by the soft-max function.

Suppose that the weights are given by
w10(1) = -0.1, w11(1) = -0.8, w12(1) = 0.1
w20(1) = 0.4, w21(1) = 0.9, w22(1) = -0.5
w30(1) = 0.3, w31(1) = 0, w32(1) = -0.1
w10(2) = -1.6, w11(2) = -1.5, w12(2) = 0.2, w13(2) = 1
w20(2) = -1.7, w21(2) = 0.4, w22(2) = -0.3, w23(2) = 1.7

Suppose that the input to this network is given by x1 = -0.8 and x2 = 1

Give the output of the second hidden layer neuron to two decimal places.

Added by Jasmine S.

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