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| 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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