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Theano is a Python library that allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays. It is built on top of NumPy. Theano features:
tight integration with NumPy: a similar interface to NumPy’s. numpy.ndarrays are also used internally in Theano-compiled functions.
transparent use of a GPU: perform data-intensive computations up to 140x faster than on a CPU (support for float32 only).
efficient symbolic differentiation: Theano can compute derivatives for functions of one or many inputs.
speed and stability optimizations: avoid nasty bugs when computing expressions such as log(1 + exp(x)) for large values of x.
dynamic C code generation: evaluate expressions faster.
extensive unit-testing and self-verification: includes tools for detecting and diagnosing bugs and/or potential problems.
Theano has been powering large-scale computationally intensive scientific research since 2007, but it is also approachable enough to be used in the classroom (IFT6266 at the University of Montreal).
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Release files for Theano-PyMC 1.1.2
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Source distribution (sdist)
| File | Size | Uploaded | |
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| Theano-PyMC-1.1.2.tar.gz | 1.8 MB | Details |
Release files / Theano-PyMC-1.1.2.tar.gz
| Download URL | Theano-PyMC-1.1.2.tar.gz |
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| Size | 1.8 MB |
| Tags | Source |
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