Understanding OutPuts of Neural Network












-2















I have a problem in outputs of neural network.



I have 3 layers and in last layer my activation method is softsign and accuracy of it is 97% but i don't understand output of it.



how can i interpret of it?



array([ 2.7876117e-04, -1.1861416e-04, -1.4989915e-04,  1.0406967e-04,
3.3736855e-04, 2.3964542e-04, -5.1546731e-04, -1.9980034e-05,
-8.2800347e-05, 9.0804613e-01, -3.4179697e-03, 5.5045313e-03,
1.9953583e-05, 2.4235848e-04, -1.0185772e-05, 8.0279395e-04,
-2.2013453e-04, -1.3151007e-03, -7.8655517e-04, 2.5021945e-05,
3.0023622e-04, -1.2777583e-05, 2.2269458e-04], dtype=float32)









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    -2















    I have a problem in outputs of neural network.



    I have 3 layers and in last layer my activation method is softsign and accuracy of it is 97% but i don't understand output of it.



    how can i interpret of it?



    array([ 2.7876117e-04, -1.1861416e-04, -1.4989915e-04,  1.0406967e-04,
    3.3736855e-04, 2.3964542e-04, -5.1546731e-04, -1.9980034e-05,
    -8.2800347e-05, 9.0804613e-01, -3.4179697e-03, 5.5045313e-03,
    1.9953583e-05, 2.4235848e-04, -1.0185772e-05, 8.0279395e-04,
    -2.2013453e-04, -1.3151007e-03, -7.8655517e-04, 2.5021945e-05,
    3.0023622e-04, -1.2777583e-05, 2.2269458e-04], dtype=float32)









    share|improve this question



























      -2












      -2








      -2








      I have a problem in outputs of neural network.



      I have 3 layers and in last layer my activation method is softsign and accuracy of it is 97% but i don't understand output of it.



      how can i interpret of it?



      array([ 2.7876117e-04, -1.1861416e-04, -1.4989915e-04,  1.0406967e-04,
      3.3736855e-04, 2.3964542e-04, -5.1546731e-04, -1.9980034e-05,
      -8.2800347e-05, 9.0804613e-01, -3.4179697e-03, 5.5045313e-03,
      1.9953583e-05, 2.4235848e-04, -1.0185772e-05, 8.0279395e-04,
      -2.2013453e-04, -1.3151007e-03, -7.8655517e-04, 2.5021945e-05,
      3.0023622e-04, -1.2777583e-05, 2.2269458e-04], dtype=float32)









      share|improve this question
















      I have a problem in outputs of neural network.



      I have 3 layers and in last layer my activation method is softsign and accuracy of it is 97% but i don't understand output of it.



      how can i interpret of it?



      array([ 2.7876117e-04, -1.1861416e-04, -1.4989915e-04,  1.0406967e-04,
      3.3736855e-04, 2.3964542e-04, -5.1546731e-04, -1.9980034e-05,
      -8.2800347e-05, 9.0804613e-01, -3.4179697e-03, 5.5045313e-03,
      1.9953583e-05, 2.4235848e-04, -1.0185772e-05, 8.0279395e-04,
      -2.2013453e-04, -1.3151007e-03, -7.8655517e-04, 2.5021945e-05,
      3.0023622e-04, -1.2777583e-05, 2.2269458e-04], dtype=float32)






      python neural-network recurrent-neural-network gated-recurrent-unit






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      edited Nov 8 '18 at 11:58









      SHR

      5,76072341




      5,76072341










      asked Nov 7 '18 at 16:34









      Mahdi.mMahdi.m

      1




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          The output has been given in scientific notation. Here e means exponential. Here 1.2e-2 means 1.2^-2






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            1 Answer
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            1 Answer
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            active

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            The output has been given in scientific notation. Here e means exponential. Here 1.2e-2 means 1.2^-2






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              0














              The output has been given in scientific notation. Here e means exponential. Here 1.2e-2 means 1.2^-2






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                0







                The output has been given in scientific notation. Here e means exponential. Here 1.2e-2 means 1.2^-2






                share|improve this answer













                The output has been given in scientific notation. Here e means exponential. Here 1.2e-2 means 1.2^-2







                share|improve this answer












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                answered Nov 13 '18 at 9:51









                Shubham PanchalShubham Panchal

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