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Comments (2)

GoogleCodeExporter avatar GoogleCodeExporter commented on July 17, 2024
I think problem in net initialization function. Now you may use old init 
function:

import neurolab as nl
input = np.random.uniform(-0.5, 0.5, (100, 1))
target = input
net = nl.net.newff([[-1, 1]],[5, 1],
                    [nl.trans.TanSig(), nl.trans.PureLin()])
net.layers[0].initf = nl.init.initwb_reg
net.layers[1].initf = nl.init.initwb_reg
net.init()
net.trainf = nl.train.train_bfgs
net.train(input, target, epochs=100, show=1, goal=0)

Original comment by [email protected] on 9 Jun 2013 at 5:15

  • Changed state: Started

from neurolab.

GoogleCodeExporter avatar GoogleCodeExporter commented on July 17, 2024
fixed v 0.2.3

Original comment by [email protected] on 9 Jun 2013 at 2:00

  • Changed state: Verified

from neurolab.

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