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by kaycebasques 1076 days ago
Can someone ELI5 the relationship between Keras and TensorFlow/Jax/PyTorch/etc? I kinda get the idea the Keras is the "frontend" and TF/Jax/PyTorch are the "backend" but I'm looking to solidify my understanding of the relationship. It might help to also comment on the key differences between TF/Jax/PyTorch/etc. Thank you.
1 comments
_Wintermute 1076 days ago
Keras was a high-level wrapper around Theano or Tensorflow.

The creator of Keras was then employed by Google to work on Keras, who promised everyone Keras would remain backend agnostic.

Keras become part of Tensorflow as a high-level API and did not remain backend agnostic. There was lots of questionable twitter beef about Pytorch by the Keras creator.

Keras is now once again backend agnostic, as a high-level API for Tensorflow/PyTorch/Jax. Likely as them seeing Tensorflow losing traction.

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