currennt

We have hosted the application currennt in order to run this application in our online workstations with Wine or directly.

Quick description about currennt:

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.

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

Audience: Science/Research.
User interface: Command-line.
Programming Language: C++.

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