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)

Project Activity

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License

GNU General Public License version 3.0 (GPLv3)

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User Reviews

  • Train LSTMs quickly on the CPU!
  • 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.
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Additional Project Details

Operating Systems

Linux, Mac

Intended Audience

Information Technology, Science/Research

User Interface

Command-line

Programming Language

Python, C++

Related Categories

Python Artificial Intelligence Software, Python Speech Software, Python Handwriting Recognition Software, Python Neural Network Libraries, C++ Artificial Intelligence Software, C++ Speech Software, C++ Handwriting Recognition Software, C++ Neural Network Libraries

Registered

2010-07-18