Modified network property

>>> import neurolab as nl
>>> # Create network
>>> net = nl.net.newff([[-1, 1]], [5, 1])
>>> # Default train function (train_gdx)
>>> print net.trainf
Trainer(TrainGDX)
>>> # Change train function
>>> net.trainf = nl.train.train_bfgs
>>> # Change init function
>>> for l in net.layers:
...     l.initf = nl.init.InitRand([-2., 2.], 'wb')
>>> # new inicialized
>>> net.init()
>>> # Change error function
>>> net.errorf = nl.error.MSE()
>>> # Change weight of input layer
>>> net.layers[0].np['w'][:] = 0.0
>>> net.layers[0].np['w']
>>> array([[ 0.],
           [ 0.],
           [ 0.],
           [ 0.],
           [ 0.]])
>>> # Change bias of input layer
>>> net.layers[0].np['b'][:] = 1.0
>>> net.layers[0].np['b']
array([ 1.,  1.,  1.,  1.,  1.])
>>> # Save network in file
>>> net.save('test.net')
>>> # Load network
>>> net = nl.load('test.net')