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 |
|---|---|---|
| _link | 0000000124 124 Bytes | |
| _multibuild | 0000000053 53 Bytes | |
| keras-2.7.0-py2.py3-none-any.whl | 0001332171 1.27 MB | |
| keras-2.7.0.tar.gz | 0002221030 2.12 MB | |
| python-Keras.changes | 0000003809 3.72 KB | |
| python-Keras.spec | 0000003389 3.31 KB |
Revision 20 (latest revision is 21)
Benjamin Greiner (bnavigator)
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Benjamin Greiner (bnavigator)
(revision 20)
- Update to 2.7.0
* This is for sync with the tensorflow 2.7.0 release
* No release notes besides the reference to TF:
https://github.com/tensorflow/tensorflow/releases/tag/v2.7.0
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