@fchollet Could you explain the decision of keeping the name "keras" as the default Tensorflow API? I don't really understand why not just exposing a simple `tf` API? Don't you think it introduces unnecessary complexity for newcomers?
It clearly conveys that tf.keras implements the Keras API, is fully compatible with the Keras standard, and will not diverge from it. It's just the same as `mxnet.gluon.*` implementing the Gluon standard (in case you are a MXNet/Gluon user).
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Thank you for your answer, that sounds like a good reason indeed! I guess it's a matter of taste, I'm not a fan of the mxnet.gluon thing either :)
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