RNNLIB

beta
3.7 Stars (3)
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Description

RNNLIB is a recurrent neural network library for sequence learning problems. Applicable to most types of spatiotemporal data, it has proven particularly effective for speech and handwriting recognition.

full installation and usage instructions given at
http://sourceforge.net/p/rnnl/wiki/Home/

RNNLIB Web Site

Features

  • LSTM
  • Multidimensional recurrent neural networks
  • Connectionist temporal classification
  • Adaptive weight noise (stochastic variational inference)

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User Reviews

  • wentaozhu
    1 of 5 2 of 5 3 of 5 4 of 5 5 of 5

    doc is incomplete, and there are a lot of problems such as can not get the predict labels and use the trained model to predict....

    Posted 04/22/2015
  • blakeprice
    1 of 5 2 of 5 3 of 5 4 of 5 5 of 5

    Reliable and runs smoothly

    Posted 10/30/2012
  • coleoconnor
    1 of 5 2 of 5 3 of 5 4 of 5 5 of 5

    Simple. Useful. Light.

    Posted 09/17/2012
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Additional Project Details

Intended Audience

Information Technology, Science/Research

User Interface

Command-line

Programming Language

C++, Python

Registered

2010-07-18
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