https://github.com/zueve/neurolab

Neurolab is a simple and powerful Neural Network Library for Python
https://github.com/zueve/neurolab

Last synced: 3 months ago
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Neurolab is a simple and powerful Neural Network Library for Python

• Host: GitHub
• URL: https://github.com/zueve/neurolab
• Owner: zueve
• Created: 2015-03-16T11:34:09.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2020-06-02T20:10:15.000Z (over 4 years ago)
• Last Synced: 2024-05-13T12:33:46.396Z (6 months ago)
• Language: Python
• Homepage:
• Size: 375 KB
• Stars: 161
• Watchers: 22
• Forks: 41
• Open Issues: 14
• Metadata Files:
  • Readme: README
  • Changelog: CHANGELOG

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• awesome-python-machine-learning - neurolab - Neurolab is a simple and powerful Neural Network Library for Python. Contains based neural networks, train algorithms and flexible framework to create and explore other neural network types. (Uncategorized / Uncategorized)

README

        
Neurolab is a simple and powerful Neural Network Library for Python.

Contains based neural networks, train algorithms and flexible framework 

to create and explore other neural network types.

:Features:

    - Pure python + numpy

    - API like Neural Network Toolbox (NNT) from MATLAB

    - Interface to use train algorithms form scipy.optimize

    - Flexible network configurations and learning algorithms. You may change: train, error, initializetion and activation functions

    - Unlimited number of neural layers and number of neurons in layers

    - Variety of supported types of Artificial Neural Network and learning algorithms

:Example:

	>>> import numpy as np

	>>> import neurolab as nl

	>>> # Create train samples

	>>> input = np.random.uniform(-0.5, 0.5, (10, 2))

	>>> target = (input[:, 0] + input[:, 1]).reshape(10, 1)

	>>> # Create network with 2 inputs, 5 neurons in input layer and 1 in output layer

	>>> net = nl.net.newff([[-0.5, 0.5], [-0.5, 0.5]], [5, 1])

	>>> # Train process

	>>> err = net.train(input, target, show=15)

	Epoch: 15; Error: 0.150308402918;

	Epoch: 30; Error: 0.072265865089;

	Epoch: 45; Error: 0.016931355131;

	The goal of learning is reached

	>>> # Test

	>>> net.sim([[0.2, 0.1]]) # 0.2 + 0.1

	array([[ 0.28757596]])

:Links:

    - `Home Page `_

    - `PyPI Page `_

    - `Documentation `_

    - `Examples `_

:Install:

	Install *neurolab* using setuptools/distribute::

		easy_install neurolab

	Or pip::

		pip install neurolab

	Or, if you don't have setuptools/distribute installed, 

	use the download `link `_ 

	at right to download the source package, 

	and install it in the normal fashion: Ungzip and untar the source package, 

	cd to the new directory, and::

		python setup.py install