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amacgregor/snn_06.py

Last active May 22, 2016 22:12
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snn_06.py
from numpy import exp, array, random, dot
ts_inputs = array([[0, 0, 0], [0, 0, 1], [0, 1, 1], [1, 0, 1], [1, 1, 1]])
ts_outputs = array([[0, 0, 0, 1, 1]]).T
#unknown input
un_input = array([1, 0, 0])
# initialize synapse_weights
random.seed(1)
sy_weights = 2 * random.random((3,1)) - 1
# output without untrained neuron
print 1 / (1 + exp(-(dot(un_input, sy_weights))))
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