BioFluff_Simple neural network

[martinius77]

from numpy import exp, array, random, dot training_set_inputs = array([[0, 0, 1], [1, 1, 1], [1, 0, 1], [0, 1, 1]]) training_set_outputs = array([[0, 1, 1, 0]]).T random.seed(1) synaptic_weights = 2 random.random((3, 1)) - 1 for iteration in xrange(10000): output = 1 / (1 + exp(-(dot(training_set_inputs, synaptic_weights)))) synaptic_weights += dot(training_set_inputs.T, (training_set_outputs - output) output * (1 - output)) print 1 / (1 + exp(-(dot(array([1, 0, 0]), synaptic_weights))))

[martinius77]

Import library

Import pandas, import numpy, import torches