Mercurial > pylearn
annotate doc/index.txt @ 966:e88d7b7d53ed
adding algorithms/sparse_coding
author | James Bergstra <bergstrj@iro.umontreal.ca> |
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date | Fri, 20 Aug 2010 13:58:41 -0400 |
parents | 8837535006f1 |
children | be53f56b37b8 |
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1 |
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2 Welcome |
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3 ======= |
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4 |
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5 Pylearn is a Python library for machine learning, built on top of Theano, our |
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6 library for defining, optimizing and evaluating mathematical expressions |
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7 involving multi-dimensional arrays. |
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8 |
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9 This documentation is under construction, but you can already access the |
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10 automatically-generated API doc, along with more extensive explanations for |
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11 some modules. |
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12 |
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13 Download |
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14 ======== |
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16 We recommend the latest development version, available via:: |
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17 |
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18 hg clone http://hg.assembla.com/pylearn Pylearn |
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19 |
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20 The ``pylearn`` subfolder should be on your ``$PYTHONPATH``. |
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21 |
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22 Documentation |
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23 ============= |
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24 |
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25 For the moment, the following documentation is available. |
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26 |
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27 * :doc:`io.SeriesTables module <seriestables>` -- Saves error series and other statistics during training |
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28 * `API <api/>`_ -- The automatically-generated API documentation |
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29 |
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30 You can download the latest `PDF documentation <http://deeplearning.net/software/pylearn/pylearn.pdf>`_, rather than reading it online. |
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32 |