The console output from a multi-layer neural network.

console_output.txt

Stage 1) Random starting synaptic weights: 
    Layer 1 (4 neurons, each with 3 inputs): 
[[-0.16595599  0.44064899 -0.99977125 -0.39533485]
 [-0.70648822 -0.81532281 -0.62747958 -0.30887855]
 [-0.20646505  0.07763347 -0.16161097  0.370439  ]]
    Layer 2 (1 neuron, with 4 inputs):
[[-0.5910955 ]
 [ 0.75623487]
 [-0.94522481]
 [ 0.34093502]]
Stage 2) New synaptic weights after training: 
    Layer 1 (4 neurons, each with 3 inputs): 
[[ 0.3122465   4.57704063 -6.15329916 -8.75834924]
 [ 0.19676933 -8.74975548 -6.1638187   4.40720501]
 [-0.03327074 -0.58272995  0.08319184 -0.39787635]]
    Layer 2 (1 neuron, with 4 inputs):
[[ -8.18850925]
 [ 10.13210706]
 [-21.33532796]
 [  9.90935111]]
Stage 3) Considering a new situation [1, 1, 0] -> ?: 
[ 0.0078876]