Python Deep Learning library
Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano. It was developed with a focus on enabling fast experimentation. Being able to go from idea to result with the least possible delay is key to doing good research.
Use Keras if you need a deep learning library that:
Allows for easy and fast prototyping (through user friendliness, modularity, and extensibility).
Supports both convolutional networks and recurrent networks, as well as combinations of the two.
Runs seamlessly on CPU and GPU.
Read the documentation at Keras.io.
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Source Files
| Filename | Size | Changed |
|---|---|---|
| _multibuild | 0000000053 53 Bytes | |
| keras-2.6.0-py2.py3-none-any.whl | 0001296331 1.24 MB | |
| keras-2.6.0.tar.gz | 0002178056 2.08 MB | |
| python-Keras.changes | 0000003487 3.41 KB | |
| python-Keras.spec | 0000003758 3.67 KB |
Revision 18 (latest revision is 21)
Benjamin Greiner (bnavigator)
accepted
request 921349
from
Benjamin Greiner (bnavigator)
(revision 18)
- Update to 2.6.0
* Keras 2.6.0 is the first release of TensorFlow implementation
of Keras in the present repo.
* The code under tensorflow/python/keras is considered legacy and
will be removed in future releases (tf 2.7 or later). For any
user who import tensorflow.python.keras, please update your
code to public tf.keras instead.
* The API endpoints for tf.keras stay unchanged, but are now
backed by the keras PIP package. All Keras-related PRs and
issues should now be directed to the GitHub repository
keras-team/keras.
* For the detailed release notes about tf.keras behavior changes,
please take a look for tensorflow release notes.
- This is required by tensorflow2 again boo#1190856
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