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/

Features

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

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User Reviews

  • 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....

    1 user found this review helpful.
  • Reliable and runs smoothly

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Additional Project Details

Intended Audience

Information Technology, Science/Research

User Interface

Command-line

Programming Language

Python, C++

Registered

2010-07-18