Mercurial > pylearn
view doc/index.txt @ 1056:19033ef1636d
some more details on my approach
author | Razvan Pascanu <r.pascanu@gmail.com> |
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date | Thu, 09 Sep 2010 11:28:24 -0400 |
parents | 8837535006f1 |
children | be53f56b37b8 |
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Welcome ======= Pylearn is a Python library for machine learning, built on top of Theano, our library for defining, optimizing and evaluating mathematical expressions involving multi-dimensional arrays. This documentation is under construction, but you can already access the automatically-generated API doc, along with more extensive explanations for some modules. Download ======== We recommend the latest development version, available via:: hg clone http://hg.assembla.com/pylearn Pylearn The ``pylearn`` subfolder should be on your ``$PYTHONPATH``. Documentation ============= For the moment, the following documentation is available. * :doc:`io.SeriesTables module <seriestables>` -- Saves error series and other statistics during training * `API <api/>`_ -- The automatically-generated API documentation You can download the latest `PDF documentation <http://deeplearning.net/software/pylearn/pylearn.pdf>`_, rather than reading it online.