List of different default parameters between Keras and PyTorch?











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Implementing the same code in Keras and PyTorch gives different results and it's often difficult to debug the differences. Is there a list of gotchas to watch out for when re-writing code from one package to another?



Default parameters of Adam optimizer, definition of loss functions.



Or is there some package that helps compare architectures of neural nets built using the two packages?










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    up vote
    -2
    down vote

    favorite












    Implementing the same code in Keras and PyTorch gives different results and it's often difficult to debug the differences. Is there a list of gotchas to watch out for when re-writing code from one package to another?



    Default parameters of Adam optimizer, definition of loss functions.



    Or is there some package that helps compare architectures of neural nets built using the two packages?










    share|improve this question
























      up vote
      -2
      down vote

      favorite









      up vote
      -2
      down vote

      favorite











      Implementing the same code in Keras and PyTorch gives different results and it's often difficult to debug the differences. Is there a list of gotchas to watch out for when re-writing code from one package to another?



      Default parameters of Adam optimizer, definition of loss functions.



      Or is there some package that helps compare architectures of neural nets built using the two packages?










      share|improve this question













      Implementing the same code in Keras and PyTorch gives different results and it's often difficult to debug the differences. Is there a list of gotchas to watch out for when re-writing code from one package to another?



      Default parameters of Adam optimizer, definition of loss functions.



      Or is there some package that helps compare architectures of neural nets built using the two packages?







      tensorflow keras pytorch






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Nov 19 at 13:06









      user7867665

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