提交 5c24da0b authored 作者: notoraptor's avatar notoraptor

Update Theano's general description @lamblin .

上级 472d52f7
......@@ -66,8 +66,7 @@ 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).
* transparent use of a GPU: perform data-intensive computations much faster than on a CPU.
* efficient symbolic differentiation: Theano can compute derivatives
for functions of one or many inputs.
* speed and stability optimizations: avoid nasty bugs when computing
......
......@@ -7,7 +7,7 @@ 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)
* **transparent use of a GPU** -- Perform data-intensive computations much faster than on a CPU.
* **efficient symbolic differentiation** -- 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.
* **dynamic C code generation** -- Evaluate expressions faster.
......
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