Neurolab is a simple and powerful Neural Network Library for Python
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.
>>> 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]])
Install neurolab using 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