Skip to main content

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


Release history Release notifications

This version
History Node

1.0.0

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

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

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging CloudAMQP CloudAMQP RabbitMQ AWS AWS Cloud computing Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page