Mercurial > pylearn
comparison doc/index.txt @ 943:0181459b53a1
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author | James Bergstra <bergstrj@iro.umontreal.ca> |
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date | Wed, 11 Aug 2010 13:16:05 -0400 |
parents | 8837535006f1 |
children | be53f56b37b8 |
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1 | |
2 Welcome | |
3 ======= | |
4 | |
5 Pylearn is a Python library for machine learning, built on top of Theano, our | |
6 library for defining, optimizing and evaluating mathematical expressions | |
7 involving multi-dimensional arrays. | |
8 | |
9 This documentation is under construction, but you can already access the | |
10 automatically-generated API doc, along with more extensive explanations for | |
11 some modules. | |
12 | |
13 Download | |
14 ======== | |
15 | |
16 We recommend the latest development version, available via:: | |
17 | |
18 hg clone http://hg.assembla.com/pylearn Pylearn | |
19 | |
20 The ``pylearn`` subfolder should be on your ``$PYTHONPATH``. | |
21 | |
22 Documentation | |
23 ============= | |
24 | |
25 For the moment, the following documentation is available. | |
26 | |
27 * :doc:`io.SeriesTables module <seriestables>` -- Saves error series and other statistics during training | |
28 * `API <api/>`_ -- The automatically-generated API documentation | |
29 | |
30 You can download the latest `PDF documentation <http://deeplearning.net/software/pylearn/pylearn.pdf>`_, rather than reading it online. | |
31 | |
32 |