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Can anyone explain the reasoning behind this post?


Why could my SVR prediction be offset, but still follow the actual pattern?Type-II error in Hypothesis TestingWhy do we convert skewed data into a normal distributionPrediction Intervals Using XGBoostEpoch greedy algorithm for contextual banditsCreating a posterior distribution for classic coin flipping in python using grid searchNeural network only converges when data cloud is close to 0High RMSE and MAE and low MAPELink Prediction based Similarity IndicesIntuitive Explanation of R-squared













1












$begingroup$


I am reading THIS blog post,
and I do not understand the logic behind this part:



Pic from Post



Why is the relu here max(0, Xavg - X) ? And even so, it does not really explain the values obtained in the two situations where X1 = X2 = 0, X1 = 1 and X2 = 0, and X1 = X2 = 1.



Can someone please explain this in more detail?










share|improve this question









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    1












    $begingroup$


    I am reading THIS blog post,
    and I do not understand the logic behind this part:



    Pic from Post



    Why is the relu here max(0, Xavg - X) ? And even so, it does not really explain the values obtained in the two situations where X1 = X2 = 0, X1 = 1 and X2 = 0, and X1 = X2 = 1.



    Can someone please explain this in more detail?










    share|improve this question









    $endgroup$




    bumped to the homepage by Community 5 mins ago


    This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.

















      1












      1








      1





      $begingroup$


      I am reading THIS blog post,
      and I do not understand the logic behind this part:



      Pic from Post



      Why is the relu here max(0, Xavg - X) ? And even so, it does not really explain the values obtained in the two situations where X1 = X2 = 0, X1 = 1 and X2 = 0, and X1 = X2 = 1.



      Can someone please explain this in more detail?










      share|improve this question









      $endgroup$




      I am reading THIS blog post,
      and I do not understand the logic behind this part:



      Pic from Post



      Why is the relu here max(0, Xavg - X) ? And even so, it does not really explain the values obtained in the two situations where X1 = X2 = 0, X1 = 1 and X2 = 0, and X1 = X2 = 1.



      Can someone please explain this in more detail?







      predictive-modeling regression statistics






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Feb 20 at 10:39









      QubixQubix

      1114




      1114





      bumped to the homepage by Community 5 mins ago


      This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.







      bumped to the homepage by Community 5 mins ago


      This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.






















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          $begingroup$

          "Weight of 4" seems to be the key thing you're missing. Translating a little, the neuron's value is $operatornamerelu(5-4x_1-4x_2)$.



          Oh, and there seems to be a typo in the post:
          "Then, if X2 also gets switched to 0 1,"






          share|improve this answer









          $endgroup$












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            $begingroup$

            "Weight of 4" seems to be the key thing you're missing. Translating a little, the neuron's value is $operatornamerelu(5-4x_1-4x_2)$.



            Oh, and there seems to be a typo in the post:
            "Then, if X2 also gets switched to 0 1,"






            share|improve this answer









            $endgroup$

















              0












              $begingroup$

              "Weight of 4" seems to be the key thing you're missing. Translating a little, the neuron's value is $operatornamerelu(5-4x_1-4x_2)$.



              Oh, and there seems to be a typo in the post:
              "Then, if X2 also gets switched to 0 1,"






              share|improve this answer









              $endgroup$















                0












                0








                0





                $begingroup$

                "Weight of 4" seems to be the key thing you're missing. Translating a little, the neuron's value is $operatornamerelu(5-4x_1-4x_2)$.



                Oh, and there seems to be a typo in the post:
                "Then, if X2 also gets switched to 0 1,"






                share|improve this answer









                $endgroup$



                "Weight of 4" seems to be the key thing you're missing. Translating a little, the neuron's value is $operatornamerelu(5-4x_1-4x_2)$.



                Oh, and there seems to be a typo in the post:
                "Then, if X2 also gets switched to 0 1,"







                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Feb 20 at 15:11









                Ben ReinigerBen Reiniger

                31819




                31819



























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