A scientific python library
Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently.
Theano features:
* tight integration with numpy - Use numpy.ndarray in Theano-compiled functions.
* transparent use of a GPU - Perform data-intensive calculations up to 140x faster than with CPU.(float32 only)
* symbolic differentiation - Let Theano do your derivatives.
* speed and stability optimizations - Get the right answer for log(1+x) even when x is really tiny.
* dynamic C code generation - Evaluate expressions faster.
* extensive unit-testing and self-verification - Detect and diagnose many types of mistake.
Theano has been powering large-scale computationally intensive scientific investigations since 2007. But it is also approachable enough to be used in the classroom (IFT6266 at the University of Montreal).
- Sources inherited from project openSUSE:Backports:SLE-15-SP5
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osc -A https://api.opensuse.org checkout openSUSE:Leap:15.5:Update/python-Theano && cd $_
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Source Files
Filename | Size | Changed |
---|---|---|
Theano-1.0.4.tar.gz | 0002840691 2.71 MB | |
_constraints | 0000000132 132 Bytes | |
_multibuild | 0000000053 53 Bytes | |
python-Theano.changes | 0000004596 4.49 KB | |
python-Theano.rpmlintrc | 0000000208 208 Bytes | |
python-Theano.spec | 0000004284 4.18 KB |
Latest Revision
branch from SP4 Backports
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