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Automatically exported from code.google.com/p/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. :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 <http://code.google.com/p/neurolab/>`_ - `PyPI Page <http://pypi.python.org/pypi/neurolab>`_ - `Documentation <http://packages.python.org/neurolab/>`_ - `Examples <http://packages.python.org/neurolab/example.html>`_ :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 <http://code.google.com/p/neurolab/downloads/list>`_ 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
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