OpenANN
1.1.0
An open source library for artificial neural networks.
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Variables | |
tuple | X = numpy.array([[0, 1], [0, 0], [1, 1], [1, 0]]) |
tuple | Y = numpy.array([[1], [0], [0], [1]]) |
list | D = X.shape[1] |
list | F = Y.shape[1] |
list | N = X.shape[0] |
tuple | dataset = DataSet(X, Y) |
tuple | net = Net() |
dictionary | stop_dict = {"minimal_value_differences" : 1e-10} |
tuple | lma = LMA(stop_dict) |
tuple | y = net.predict(X[n]) |
list xor.D = X.shape[1] |
list xor.F = Y.shape[1] |
tuple xor.lma = LMA(stop_dict) |
list xor.N = X.shape[0] |
tuple xor.net = Net() |
dictionary xor.stop_dict = {"minimal_value_differences" : 1e-10} |
tuple xor.X = numpy.array([[0, 1], [0, 0], [1, 1], [1, 0]]) |
tuple xor.Y = numpy.array([[1], [0], [0], [1]]) |
tuple xor.y = net.predict(X[n]) |