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]. 1 x1 x2 1 x1 x2 0.4 0.3 -0.5 -0.1 -0.2 0.7 O- O- Softmax y

Database System Concepts
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ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
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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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