提交 045fa1b1 authored 作者: James Bergstra's avatar James Bergstra

changes to index

上级 d6f86538
...@@ -6,18 +6,20 @@ Theano is a Python library that allows you to define, optimize, and ...@@ -6,18 +6,20 @@ Theano is a Python library that allows you to define, optimize, and
evaluate mathematical expressions involving multi-dimensional evaluate mathematical expressions involving multi-dimensional
arrays efficiently. Theano features: arrays efficiently. Theano features:
* **tight integration with numpy** * **tight integration with numpy** -- Use `numpy.ndarray` in Theano-compiled functions.
* **near-transparent use of a GPU** to accelerate for intense calculations [JAN 2010]. * **near-transparent use of a GPU** -- Accelerate data-intensive calculations [JAN 2010].
* **symbolic differentiation** * **symbolic differentiation** -- Let Theano do your derivatives.
* **speed and stability optimizations**: write ``log(1+exp(x))`` and get the right answer. * **speed and stability optimizations** -- Write ``log(1+exp(x))`` and get the right answer.
* **dynamic C code generation** for faster expression evaluation * **dynamic C code generation** -- Evaluate expressions faster.
Theano has been powering large-scale computationally intensive scientific investigations
since 2007. But it is also approachable enough to be used in the classroom
(IFT6266 at the University of Montreal).
Download Download
======== ========
In April 2009 we made declared the creation of a `0.1 release <http://pylearn.org/theano/downloads/Theano-0.1.tar.gz>`_. We recommend the latest development version, available via::
Development has continued non-stop since then.
The current version is available via::
hg clone http://hg.assembla.com/theano Theano hg clone http://hg.assembla.com/theano Theano
...@@ -27,13 +29,26 @@ installation and configuration, see :ref:`installing Theano <install>`. ...@@ -27,13 +29,26 @@ installation and configuration, see :ref:`installing Theano <install>`.
Documentation Documentation
============= =============
Roughly in order of what you'll want to check out:
* :ref:`introduction` -- what is Theano?
* :ref:`tutorial` -- learn the basics
* :ref:`libdoc` -- Theano's functionality, module by module
* :ref:`extending` -- how to add a Type, Op, or graph optimization
* :ref:`internal` -- maintaining Theano, LISA-specific tips, and more
You can download the latest `PDF documentation <http://pylearn.org/theano/theano.pdf>`_, rather than reading it online. You can download the latest `PDF documentation <http://pylearn.org/theano/theano.pdf>`_, rather than reading it online.
* If you have no idea what Theano is read the :ref:`introduction <introduction>`. Community
* :ref:`learn the basics <tutorial>` =========
* :ref:`library reference <libdoc>`
* :ref:`extending Theano <extending>` with new Types, and Ops * Register and post to `theano-users`_ if you want to talk to all Theano users.
* :ref:`internal docs <internal>`
* Register and post to `theano-dev`_ if you want to talk to the developers.
* We try to stay organized with `Theano's Trac <trac/>`__
* Come visit us in Montreal! Most of the developers are students in the LISA_ group at the `University of Montreal`_.
.. toctree:: .. toctree::
:maxdepth: 1 :maxdepth: 1
...@@ -54,17 +69,6 @@ You can download the latest `PDF documentation <http://pylearn.org/theano/theano ...@@ -54,17 +69,6 @@ You can download the latest `PDF documentation <http://pylearn.org/theano/theano
LICENSE LICENSE
Community
=========
* Register and post to `theano-users`_ if you want to talk to all Theano users.
* Register and post to `theano-dev`_ if you want to talk to the developers.
* We try to stay organized with `Theano's Trac <trac/>`__
* Come visit us in Montreal! Most of the developers are students in the LISA_ group at the `University of Montreal`_.
.. _theano-dev: http://groups.google.com/group/theano-dev .. _theano-dev: http://groups.google.com/group/theano-dev
......
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