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.
-
4
derived packages
- Download package
-
Checkout Package
osc -A https://api.opensuse.org checkout science:machinelearning/python-Keras && cd $_
- Create Badge
Refresh
Refresh
Source Files
Filename | Size | Changed |
---|---|---|
_link | 0000000124 124 Bytes | |
_multibuild | 0000000053 53 Bytes | |
keras-2.4.0.tar.gz | 0000288947 282 KB | |
python-Keras.changes | 0000001872 1.83 KB | |
python-Keras.spec | 0000004607 4.5 KB |
Revision 14 (latest revision is 21)
Guillaume GARDET (Guillaume_G)
accepted
request 872597
from
Benjamin Greiner (bnavigator)
(revision 14)
- NEP 29: Tumbleweed does not have python36-numpy and depending packages anymore. Skip python36 build.
Comments 0