.. _examples-miml-neural_network-xor: ************************** XOR with Neural Network ************************** XOR: This example is essentially the "Hello World" of neural network programming. This example shows how to construct an neural network to predict the output from the XOR operator. This example uses backpropagation to train the neural network. == == ======= a b a XOR b == == ======= 1 1 0 0 1 1 1 0 1 0 0 0 == == ======= :: from miml.neural_network import FeedforwardNetwork indata = array([[0,0],[1,0],[0,1],[1,1]]) ideal = array([0,1,1,0]) net = FeedforwardNetwork(5, 'trainlm') net.layers[0].set_activation('tanh') net.train(indata, ideal, isprint=True) print net.predict([0,0]) print net.predict([0,1]) :: >>> run script... Epochs 1: Error=0.666 Epochs 2: Error=0.327 Epochs 3: Error=0.180 Epochs 4: Error=0.018 Epochs 5: Error=0.003 Epochs 6: Error=0.001 array([-0.015162892109416235]) array([0.9941280862563597])