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?
tensorflow keras pytorch
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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?
tensorflow keras pytorch
add a comment |
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?
tensorflow keras pytorch
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
tensorflow keras pytorch
asked Nov 19 at 13:06
user7867665
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17211
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