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Theano is a Python library that allows you to define, optimize, and efficiently evaluate mathematical expressions involving multidimensional 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 Theanocompiled functions.
* **transparent use of a GPU:** perform dataintensive 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 unittesting and selfverification:** includes tools for detecting and diagnosing bugs and/or potential problems.
Theano has been powering largescale computationally intensive scientific
research since 2007, but it is also approachable enough to be used in the
classroom (IFT6266 at the University of Montreal).
.. _NumPy: http://numpy.scipy.org/
