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