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Project Description

This contains Feedforward and Recurrent neural networks


  • Feedforward and Recurrent neural nets
  • Contains logistic, tanh, ReLU, softmax neurons
  • Standard loss functions (squared error, cross entropy, sparsity constraints), and support for custom loss functions
  • Different methods to initialize weights
  • Customizable connectivity between layers
  • Inputs can be generated dynamically by some other system (like a simulation)

Quick start

Install the package via:

pip install gaunn


  • python 2.7 or 3.5
  • numpy 1.9.2
  • matplotlib 1.3.1

Release History

This version
History Node


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Filename, Size & Hash SHA256 Hash Help File Type Python Version Upload Date
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Wheel py2 Aug 30, 2016
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Source None Aug 30, 2016

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