RNNLIB

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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License

GNU General Public License version 3.0 (GPLv3)

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darkproger Posted 2023-04-08
5 out of 5 stars

Train LSTMs quickly on the CPU!
wentaozhu Posted 2015-04-22
1 out of 5 stars

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.

Additional Project Details

Operating Systems

Linux, Mac

Intended Audience

Information Technology, Science/Research

User Interface

Command-line

Programming Language

C++, Python

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

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