Multi layer perceptron module:
local Perceptron = require(game:GetService("ReplicatedStorage").Perceptron)
local training_data = {
{inputs = {0, 0, 0, 0, 0, 0}, expected_output = {0, 0, 0, 0, 0, 0}},
{inputs = {0, 0, 0, 0, 0, 1}, expected_output = {0, 0, 0, 0, 0, 1}},
{inputs = {0, 0, 0, 0, 1, 0}, expected_output = {0, 0, 0, 0, 1, 0}},
{inputs = {0, 0, 0, 1, 0, 0}, expected_output = {0, 0, 0, 1, 0, 0}},
{inputs = {0, 1, 0, 0, 0, 0}, expected_output = {0, 0, 1, 0, 0, 0}},
{inputs = {1, 1, 1, 1, 1, 1}, expected_output = {1, 1, 1, 1, 1, 1}},
{inputs = {1, 0, 0, 0, 0, 0}, expected_output = {1, 0, 0, 0, 0, 0}},
{inputs = {0, 0, 1, 0, 0, 0}, expected_output = {0, 1, 0, 0, 0, 0}},
{inputs = {0, 0, 0, 0, 1, 1}, expected_output = {0, 0, 0, 0, 1, 1}},
{inputs = {1, 0, 1, 0, 0, 0}, expected_output = {1, 1, 0, 0, 0, 0}},
{inputs = {0, 1, 1, 0, 0, 0}, expected_output = {0, 1, 1, 0, 0, 0}},
{inputs = {0, 0, 0, 1, 1, 0}, expected_output = {0, 0, 1, 1, 0, 0}},
{inputs = {1, 1, 0, 0, 0, 0}, expected_output = {1, 1, 0, 0, 0, 0}},
{inputs = {1, 0, 0, 1, 0, 0}, expected_output = {1, 0, 1, 0, 0, 0}},
{inputs = {0, 1, 0, 1, 0, 0}, expected_output = {0, 1, 1, 0, 0, 0}},
{inputs = {1, 1, 1, 0, 0, 0}, expected_output = {1, 1, 1, 0, 0, 0}},
{inputs = {1, 0, 1, 1, 0, 0}, expected_output = {1, 1, 1, 1, 0, 0}},
{inputs = {0, 0, 1, 1, 1, 0}, expected_output = {0, 1, 1, 1, 0, 0}},
{inputs = {1, 1, 0, 1, 0, 0}, expected_output = {1, 1, 1, 0, 0, 0}},
{inputs = {0, 1, 1, 1, 1, 0}, expected_output = {0, 1, 1, 1, 1, 0}},
{inputs = {1, 0, 0, 0, 1, 1}, expected_output = {1, 0, 0, 1, 1, 0}},
{inputs = {0, 0, 0, 1, 0, 1}, expected_output = {0, 0, 1, 0, 1, 0}},
{inputs = {1, 1, 1, 0, 1, 1}, expected_output = {1, 1, 1, 1, 1, 0}},
{inputs = {0, 1, 0, 0, 1, 1}, expected_output = {0, 1, 1, 0, 1, 0}},
{inputs = {1, 0, 1, 0, 1, 1}, expected_output = {1, 1, 1, 1, 1, 0}},
{inputs = {0, 1, 1, 0, 1, 0}, expected_output = {0, 1, 1, 1, 0, 0}},
{inputs = {1, 1, 0, 0, 1, 1}, expected_output = {1, 1, 1, 1, 1, 0}},
{inputs = {1, 0, 0, 1, 1, 0}, expected_output = {1, 1, 1, 0, 1, 0}},
{inputs = {0, 1, 0, 1, 1, 1}, expected_output = {0, 1, 1, 1, 1, 0}},
{inputs = {1, 0, 1, 1, 1, 1}, expected_output = {1, 1, 1, 1, 1, 1}},
{inputs = {0, 0, 1, 0, 0, 1}, expected_output = {0, 1, 0, 0, 1, 0}},
{inputs = {1, 1, 1, 1, 0, 0}, expected_output = {1, 1, 1, 1, 0, 0}},
{inputs = {1, 0, 1, 0, 0, 1}, expected_output = {1, 1, 0, 0, 1, 0}},
}
local perceptron = Perceptron.new(6, {6}, 0.1)
print("started")
-- Training
for epoch = 1, 7000 do
for _, data in ipairs(training_data) do
perceptron:train(data.inputs, data.expected_output)
end
end
print("finished training!")
--Testing(assume that less than 0.5 is 0 and more is 1,
--i am too lazy to write code for thingy)
for _, data in ipairs(training_data) do
local predicted = perceptron:query(data.inputs)
print(predicted)
end
(7k epoch)
