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CURRENNT to run in Windows online over Linux online downlo

Free download CURRENNT to run in Windows online over Linux online Windows app to run online win Wine in Ubuntu online, Fedora online or Debian online

This is the Windows app named CURRENNT to run in Windows online over Linux online whose latest release can be downloaded as currennt-0.2-rc1.zip. It can be run online in the free hosting provider OnWorks for workstations.

Download and run online this app named CURRENNT to run in Windows online over Linux online with OnWorks for free.

Follow these instructions in order to run this app:

- 1. Downloaded this application in your PC.

- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 3. Upload this application in such filemanager.

- 4. Start any OS OnWorks online emulator from this website, but better Windows online emulator.

- 5. From the OnWorks Windows OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 6. Download the application and install it.

- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.

Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.

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CURRENNT to run in Windows online over Linux online


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.

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++



This is an application that can also be fetched from https://sourceforge.net/projects/currennt/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.


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