![]() T = BackpropTrainer(n,learningrate=0.01,momentum=0. N = buildNetwork(ds.indim,8,8,ds.outdim,recurrent=True) Here is the code from pybrain.datasets import SupervisedDataSetįrom import buildNetworkįrom import BackpropTrainerįrom pybrain.datasets import ClassificationDataSetįrom pybrain.utilities import percentErrorįrom import SoftmaxLayerįrom pylab import ion, ioff, figure, draw, contourf, clf, show, hold, plotįrom scipy import diag, arange, meshgrid, whereįrom numpy.random import multivariate_normalĭata = When i look at the python shell all I see is Total error: 0.119794950183ġ) what does total error mean and what is it doing □ Was this helpful? Please add a comment to show your appreciation or feedback.So I am very new to python and pybrain but I found a code online and ran my own data on it. Join the nixCraft community via RSS Feed or Email Newsletter. He wrote more than 7k+ posts and helped numerous readers to master IT topics. Vivek Gite is the founder of nixCraft, the oldest running blog about Linux and open source. You learned how to extract or open rar file on Linux, macOS, and Unix-like system using the CLI. I scanned my Ubuntu computer using Clamav the following are the results.
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