lightneuralnetwork

small neural network library written in python.

Uses backpropagation and gradient descent to adjust weights

usage:

git clone url

import lightneuralnetwork
#and gate inputs
example_inputs = [
    [0, 0],
    [0, 1],
    [1, 0],
    [1, 1]
]
#and gate outputs
example_outputs = [
    [0],
    [0],
    [0],
    [1]
]

example_set = [example_inputs, example_outputs]
#create neural network with 2 inputs, 12 hidden nodes, 1 output
net = lightneuralnetwork.Net([2, 12, 1], example_set)
#run with inputs [1, 0] and [0, 0]
net.run([[1,0], [0,0]])
#train with example_set
net.train()
#check examples.py for more details

run tests:

cd lightneuralnetwork/src

./runtests.bat