nnsigmoid.py

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
    nnsigmoid
    ~~~~~~~~~
    
    A simple neural network using the sigmoid 
    function in Python.
    
    :copyright: Pancubs.org
    :license: MIT
"""

import numpy as np
import math as math
import random

def dotproduct(inputs, weights):
    return sum(np.multiply(inputs, weights))

class Neuron:
    def __init__(self, weights, bias):
        self.weights = weights
        self.bias = bias
        
    def activate(self, inputs):
        return 1 / (1 + math.exp(-dotproduct(inputs, self.weights)) - self.bias)

class Layers:
    def __init__(self, neurons):
        self.neurons = neurons
    
    def activate(self, inputs):
        return list(neuron.activate(inputs) for neuron in self.neurons)
        
def startlayer(neuronscount, weightscount):
    return Layers(Neuron(np.random.rand(weightscount), random.random()) for _ in range(neuronscount))

class NeuralNetwork:
    def __init__(self, n, m, k):
        self.layers = [startlayer(n, 1), startlayer(m, n), startlayer(k, m)]
        
    def activate(self, inputs):
        return list(layer.activate(inputs) for layer in self.layers)
        

def main():
    NeuralNetwork(1, 2, 1)

if __name__ == '__main__':
    main()