As previously announced, we have discontinued multi-backend Keras to refocus exclusively on the TensorFlow implementation of Keras.
In the future, we will develop the TensorFlow implementation of Keras in the present repo, at keras-team/keras
. For the time being, it is being developed in tensorflow/tensorflow
and distributed as tensorflow.keras
. In this future, the keras
package on PyPI will be the same as tf.keras
.
This release (2.4.0) simply redirects all APIs in the standalone keras
package to point to tf.keras
. This helps address user confusion regarding differences and incompatibilities between tf.keras
and the standalone keras
package. There is now only one Keras: tf.keras
.
- Note that this release may be breaking for some workflows when going from Keras 2.3.1 to 2.4.0. Test before upgrading.
- Note that we still recommend that you import Keras as
from tensorflow import keras
, rather thanimport keras
, for the time being.