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

See All Activity >

License

GNU General Public License version 3.0 (GPLv3)

Follow RNNLIB

RNNLIB Web Site

You Might Also Like
Employee monitoring software with screenshots Icon
Employee monitoring software with screenshots

Clear visibility and insights into how employees work. Even remotely.

Stay productive working at any distance from anywhere with Monitask.
Rate This Project
Login To Rate This Project

User Ratings

★★★★★
★★★★
★★★
★★
1
0
0
0
1
ease 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 3 / 5
features 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 3 / 5
design 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 3 / 5
support 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 3 / 5

User Reviews

There are no 2 star reviews.

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