CURRENNT

CUDA-enabled machine learning library for recurrent neural networks

Add a Review
6 Downloads (This Week)
Last Update:
Download currennt-0.1a.zip
Browse All Files
Windows Linux

Screenshots

Description

CURRENNT is a machine learning library for Recurrent Neural Networks (RNNs) which uses NVIDIA graphics cards to accelerate the computations.

The library implements uni- and bidirectional Long Short-Term Memory (LSTM) architectures and supports deep networks as well as very large data sets that do not fit into main memory.

CURRENNT Web Site

Features

  • Uni- and bidirectional Long Short-Term Memory (LSTM) layers with forget gates and peepholes
  • Feedforward layers with tanh, logistic sigmoid and softmax activation functions
  • Deep neural network architectures supported
  • Cached on-line learning from large data sets (training data does not need to fit in main memory)
  • Reads training data from NetCDF files
  • Gradient descent with momentum
  • Supports on-line, batch and hybrid on-line/batch learning
  • Minimization of cross-entropy and squared error objectives
  • Supports regression and binary/multiclass classification tasks
  • Training with input activation noise for improved generalization
  • Autosave after each training epoch

Update Notifications





Write a Review

User Reviews

Be the first to post a review of CURRENNT!

Additional Project Details

Intended Audience

Science/Research

User Interface

Command-line

Programming Language

C++

Registered

2013-07-08
Screenshots can attract more users to your project.
Features can attract more users to your project.

Icons must be PNG, GIF, or JPEG and less than 1 MiB in size. They will be displayed as 48x48 images.