A multi-layer neural network has its weight as below. All neurons use linear activation function. Calculate the MSE loss, for the input [2,1] that is correspond with the label [1,0]. 0.3 1 x1 x2 1 x1 x2 0.4 -0.5 -0.1 -0.2 0.7 O- Softmax y

Computer Networking: A Top-Down Approach (7th Edition)
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A multi-layer neural network has its weight as below. All neurons use linear activation function. Calculate
the MSE loss, for the input [2.1] that is correspond with the label [1,0].01
1
x1
x2
1
x1
x2
0.4
0.3
-0.5
-0.1
-0.2
0.7
O
CO
Softmax
y
Transcribed Image Text:A multi-layer neural network has its weight as below. All neurons use linear activation function. Calculate the MSE loss, for the input [2.1] that is correspond with the label [1,0].01 1 x1 x2 1 x1 x2 0.4 0.3 -0.5 -0.1 -0.2 0.7 O CO Softmax y
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