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      Pylearn2: a machine learning research library

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          Abstract

          Pylearn2 is a machine learning research library. This does not just mean that it is a collection of machine learning algorithms that share a common API; it means that it has been designed for flexibility and extensibility in order to facilitate research projects that involve new or unusual use cases. In this paper we give a brief history of the library, an overview of its basic philosophy, a summary of the library's architecture, and a description of how the Pylearn2 community functions socially.

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          Python for Scientific Computing

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            Acceleration of Stochastic Approximation by Averaging

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              The “independent components” of natural scenes are edge filters

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                Author and article information

                Journal
                19 August 2013
                Article
                1308.4214

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

                Custom metadata
                9 pages
                stat.ML cs.LG cs.MS

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