home/scattered_light_subtraction/other_possible_approaches.md

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