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I would actually recommend Tensorflow 2 as it is the most popular, and that it has a distributed network training model that may be useful in some way.
Just checked the popularity of Tensorflow 2 over PyTorch, and they are on par with one another...
Are there any Keras-like libraries that support both TF and PyTorch?
(I guess the game is on between Google's TF and Facebook's PyTorch)
Just checked the popularity of Tensorflow 2 over PyTorch, and they are on par with one another...
Are there any Keras-like libraries that support both TF and PyTorch?
(I guess the game is on between Google's TF and Facebook's PyTorch)
maybe, there's no library that supports both of them as i know.
I also think TF2 is popular than pytorch 1.x.
But, in the aspect of developing the GANs, i also think pure keras framework is not suitable and tricky to implement for controlling the low-level stuffs than pytorch. So, now i'm considering between them : ).
So I would make that claim that whatever is more popular and easier to implement the underlying features should be used, that would be Tensorflow in this case.
Currently, all of the codes are based on
tensorflow 1.x
, which is legacy.so, rework all codes to pytorch code, instead of
tensorflow 2.x
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