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pytensor
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4e25da0f
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4e25da0f
authored
3月 31, 2009
作者:
Pascal Lamblin
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3 个修改的文件
包含
6 行增加
和
5 行删除
+6
-5
adding.txt
doc/basic_tutorial/adding.txt
+2
-1
install.txt
doc/install.txt
+3
-3
introduction.txt
doc/introduction.txt
+1
-1
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doc/basic_tutorial/adding.txt
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4e25da0f
.. _adding:
========================================
Baby steps - Adding two numbers together
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@@ -28,7 +29,7 @@ Let's break this down into several steps. The first step is to define
two symbols, or Variables, representing the quantities that you want
to add. Note that from now on, we will use the term :term:`Variable`
to mean "symbol" (in other words, ``x``, ``y``, ``z`` are all Variable
objects). The output of the function ``f`` is a
:api:`numpy.ndarray
`
objects). The output of the function ``f`` is a
``numpy.ndarray`
`
with zero dimensions.
If you are following along and typing into an interpreter, you may have
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doc/install.txt
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4e25da0f
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@@ -40,7 +40,7 @@ The following libraries and software are optional:
Used to build documentation. latex and dvipng
are also necessary for math to show up as images.
`mercurial <http://www.selenic.com/mercurial/>`_
To download bleeding-edge
To download bleeding-edge
version of Theano.
Easy install
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@@ -57,7 +57,7 @@ Manual install
--------------
To install the latest release of Theano from source, visit the `downloads
<http://pylearn.org/theano/downloads/>` page and download the release you
<http://pylearn.org/theano/downloads/>`
_
page and download the release you
want. Unpack the release, and type:
.. code-block:: bash
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@@ -146,7 +146,7 @@ Generating the documentation
You can read the latest HTML documentation `here
<http://pylearn.org/theano/contents.html>`__.
You can download the latest PDF documentation `here
<http://pylearn.org/theano/theano.pdf`__.
<http://pylearn.org/theano/theano.pdf
>
`__.
We recommend you look at the documentation on the website, since it
will be more current than the documentation included with the package.
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doc/introduction.txt
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4e25da0f
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@@ -43,7 +43,7 @@ Theano was written at the LISA_ lab to support the development of
efficient machine learning algorithms while minimizing human time. We
use it especially in gradient-based learning techniques. Theano is
named after the `Greek mathematician`_, who may have been Pythagoras'
wife. Theano is released under a BSD license (:ref:`link <license>`)
wife. Theano is released under a BSD license (:ref:`link <license>`)
.
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