![]() ![]() Research since 2007, but it is also approachable enough to be used in theĬlassroom (IFT6266 at the University of Montreal). Theano has been powering large-scale computationally intensive scientific Speed and stability optimizations: avoid nasty bugs when computing expressions such as log(1 + exp(x)) for large values of x.ĭynamic C code generation: evaluate expressions faster.Įxtensive unit-testing and self-verification: includes tools for detecting and diagnosing bugs and/or potential problems. ![]() ![]() Transparent use of a GPU: perform data-intensive computations up to 140x faster than on a CPU (support for float32 only).Įfficient symbolic differentiation: Theano can compute derivatives for functions of one or many inputs. numpy.ndarrays are also used internally in Theano-compiled functions. Tight integration with NumPy: a similar interface to NumPy’s. Theano is a Python library that allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays. ![]()
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