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# Normalize the magnitude of spectrogram before begin fed into the neural network
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## normalized values between 0 and 1
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Code
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```
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# between 0 and 1
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x_max = torch.amax(X_input)
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| ... | ... | @@ -28,6 +30,46 @@ and comment out the line in the model |
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# x = self.positive(x)
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```
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The output of the training
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```
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0 8.992348739411682e-06 -0.01821168325841427 nan
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1 8.992348739411682e-06 -0.01821168325841427 nan
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2 8.992348739411682e-06 -0.01821168325841427 nan
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3 8.992348739411682e-06 -0.01821168325841427 nan
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4 8.992348739411682e-06 -0.01821168325841427 nan
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5 8.992348739411682e-06 -0.01821168325841427 nan
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6 8.992348739411682e-06 -0.01821168325841427 nan
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7 8.992348739411682e-06 -0.01821168325841427 nan
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8 8.992348739411682e-06 -0.01821168325841427 nan
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9 8.992348739411682e-06 -0.01821168325841427 nan
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10 8.992348739411682e-06 -0.01821168325841427 nan
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11 8.992348739411682e-06 -0.01821168325841427 nan
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12 8.992348739411682e-06 -0.01821168325841427 nan
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13 8.992348739411682e-06 -0.01821168325841427 nan
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14 8.992348739411682e-06 -0.01821168325841427 nan
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15 8.992348739411682e-06 -0.01821168325841427 nan
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16 8.992348739411682e-06 -0.01821168325841427 nan
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17 8.992348739411682e-06 -0.01821168325841427 nan
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18 8.992348739411682e-06 -0.01821168325841427 nan
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19 8.992348739411682e-06 -0.01821168325841427 nan
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20 8.992348739411682e-06 -0.01821168325841427 nan
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21 8.992348739411682e-06 -0.01821168325841427 nan
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22 8.992348739411682e-06 -0.01821168325841427 nan
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23 8.992348739411682e-06 -0.01821168325841427 nan
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24 8.992348739411682e-06 -0.01821168325841427 nan
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25 8.992348739411682e-06 -0.01821168325841427 nan
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26 8.992348739411682e-06 -0.01821168325841427 nan
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27 8.992348739411682e-06 -0.01821168325841427 nan
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28 8.992348739411682e-06 -0.01821168325841427 nan
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29 8.992348739411682e-06 -0.01821168325841427 nan
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30 8.992348739411682e-06 -0.01821168325841427 nan
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31 8.992348739411682e-06 -0.01821168325841427 nan
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32 8.992348739411682e-06 -0.01821168325841427 nan
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33 8.992348739411682e-06 -0.01821168325841427 nan
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34 8.992348739411682e-06 -0.01821168325841427 nan
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35 8.992348739411682e-06 -0.01821168325841427 nan
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```
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## normalized values with mean and the standard deviation
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```
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| ... | ... | |
