OpenANN  1.1.0
An open source library for artificial neural networks.
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Variables
sine Namespace Reference

Variables

tuple net = Net()
 
tuple X = numpy.linspace(0, 2*numpy.pi, 500)
 
tuple T = numpy.sin(X)
 
tuple dataset = DataSet(X, T)
 
dictionary stop
 
tuple lma = LMA(stop)
 
tuple Y = net.predict(X)
 

Variable Documentation

tuple sine.dataset = DataSet(X, T)
tuple sine.lma = LMA(stop)
tuple sine.net = Net()
dictionary sine.stop
Initial value:
1 = {
2  "maximal_iterations": 50,
3  "minimal_value_differences": 1e-8
4 }
tuple sine.T = numpy.sin(X)
tuple sine.X = numpy.linspace(0, 2*numpy.pi, 500)
tuple sine.Y = net.predict(X)