The meaning of keras layer dot











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I'm using python2 with keras, tensorflow.
I performed this code.



y = dot([(?,32,128),(?,128,1)], axes=1)


I think that dot calculation is not possible but y's shape result is (?,128,1).



What is the meaning of axes?
Why is the result (?,128,1)?










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    up vote
    -1
    down vote

    favorite












    I'm using python2 with keras, tensorflow.
    I performed this code.



    y = dot([(?,32,128),(?,128,1)], axes=1)


    I think that dot calculation is not possible but y's shape result is (?,128,1).



    What is the meaning of axes?
    Why is the result (?,128,1)?










    share|improve this question


























      up vote
      -1
      down vote

      favorite









      up vote
      -1
      down vote

      favorite











      I'm using python2 with keras, tensorflow.
      I performed this code.



      y = dot([(?,32,128),(?,128,1)], axes=1)


      I think that dot calculation is not possible but y's shape result is (?,128,1).



      What is the meaning of axes?
      Why is the result (?,128,1)?










      share|improve this question















      I'm using python2 with keras, tensorflow.
      I performed this code.



      y = dot([(?,32,128),(?,128,1)], axes=1)


      I think that dot calculation is not possible but y's shape result is (?,128,1).



      What is the meaning of axes?
      Why is the result (?,128,1)?







      tensorflow keras layer shapes






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Nov 21 at 9:40









      albert

      2,68721021




      2,68721021










      asked Nov 21 at 8:42









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