This is a pre-production deployment of Warehouse, however changes made here WILL affect the production instance of PyPI.
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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

Release History


This version

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

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Download Files

Download Files

TODO: Brief introduction on what you do with files - including link to relevant help section.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
gaunn-1.0.0-py2-none-any.whl (37.4 kB) Copy SHA256 Checksum SHA256 py2 Wheel Aug 30, 2016
gaunn-1.0.0.tar.gz (32.2 kB) Copy SHA256 Checksum SHA256 Source Aug 30, 2016

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