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Lib

Project description

This contains Feedforward and Recurrent neural networks

Features

  • 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

Requirements

  • python 2.7 or 3.5
  • numpy 1.9.2
  • matplotlib 1.3.1

Project details


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Filename, size & hash SHA256 hash help File type Python version Upload date
gaunn-1.0.0-py2-none-any.whl (37.4 kB) Copy SHA256 hash SHA256 Wheel py2 Aug 30, 2016
gaunn-1.0.0.tar.gz (32.2 kB) Copy SHA256 hash SHA256 Source None Aug 30, 2016

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