Welcome¶ 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.

– Use in Theano-compiled functions. transparent use of a GPU – Perform data-intensive computations much faster than on a CPU.

– Perform data-intensive computations much faster than on a CPU. efficient symbolic differentiation – Theano does your derivatives for functions with one or many inputs.

– Theano does your derivatives for functions with one or many inputs. speed and stability optimizations – Get the right answer for log(1+x) even when x is really tiny.

– Get the right answer for even when is really tiny. dynamic C code generation – Evaluate expressions faster.

– Evaluate expressions faster. extensive unit-testing and self-verification – Detect and diagnose many types of errors. Theano has been powering large-scale computationally intensive scientific investigations since 2007. But it is also approachable enough to be used in the classroom (University of Montreal’s deep learning/machine learning classes).

Download¶ Theano is now available on PyPI, and can be installed via easy_install Theano , pip install Theano or by downloading and unpacking the tarball and typing python setup.py install . Those interested in bleeding-edge features should obtain the latest development version, available via: git clone git : // github . com / Theano / Theano . git You can then place the checkout directory on your $PYTHONPATH or use python setup.py develop to install a .pth into your site-packages directory, so that when you pull updates via Git, they will be automatically reflected the “installed” version. For more information about installation and configuration, see installing Theano.

Community¶ “Thank YOU for correcting it so quickly. I wish all packages I worked with would have such an active maintenance - this is as good as it gets :-)” (theano-users, Aug 2, 2010) Register to theano-announce if you want to be kept informed on important change on theano(low volume).

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We use Github tickets to keep track of issues (however, some old tickets can still be found on Assembla).

Come visit us in Montreal! Most developers are students in the LISA group at the University of Montreal.