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vector <float> operator+(const vector <float>& m1, const vector <float>& m2){
    
    /*  Returns the elementwise sum of two vectors.
        Inputs: 
            m1: a vector
            m2: a vector
        Output: a vector, sum of the vectors m1 and m2.
    */
    
    const unsigned long VECTOR_SIZE = m1.size();

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0.0511965 
0.0696981 
0.931842 
0.899579 

Program ended with exit code: 0

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vector <float> transpose (float *m, const int C, const int R) {
    
    /*  Returns a transpose matrix of input matrix.
        Inputs:
            m: vector, input matrix
            C: int, number of columns in the input matrix
            R: int, number of rows in the input matrix
        Output: vector, transpose matrix mT of input matrix m
    */
    

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vector <float> operator*(const vector <float>& m1, const vector <float>& m2){
    
    /*  Returns the product of two vectors (elementwise multiplication).
        Inputs:
            m1: vector
            m2: vector
        Output: vector, m1 * m2, product of two vectors m1 and m2
    */
    
    const unsigned long VECTOR_SIZE = m1.size();

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int main(int argc, const char * argv[]) {    
    for (unsigned i = 0; i != 10000; ++i) {        
        vector<float> layer_1 = sigmoid(dot(X, W0, 4, 2, 4 ) );
        vector<float> layer_2 = sigmoid(dot(layer_1, W1, 4, 4, 1 ) );        
        vector<float> layer_2_delta = (y - layer_2) * sigmoid_d(layer_2);
        vector<float> layer_1_delta = dot(layer_2_delta, transpose( &W1[0], 4, 1 ), 4, 1, 4) * sigmoid_d(layer_1);        
        W1 = W1 + dot(transpose( &layer_1[0], 4, 4 ), layer_2_delta, 4, 4, 1);
        W0 = W0 + dot(transpose( &X[0], 4, 2 ), layer_1_delta, 2, 4, 4);
    };
    return 0;

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0.0314169
0.97234
0.972556
0.0295431

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0.500027 
0.500029 
0.500029 
0.50003 

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// XOR Dataset
vector<float> X {
    0.0, 0.0,
    0.0, 1.0,
    1.0, 0.0,
    1.0, 1.0};

// Quasi random numbers
vector<float> W0 {
    -0.07555777, -0.04661271, -0.0982434, 0.01800294,

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# -*- coding: utf-8 -*-

# Sergei Bugrov
# 7-10-17
#
# Downloads all available articles from https://www.nytimes.com
#
# usage : python nytimes.py
#
# python version : 3.6.1

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//
//  main.cpp
//  mlperceptron
//
//  Created by Sergei Bugrov on 7/11/17.
//  Copyright © 2017 Sergei Bugrov. All rights reserved.
//

#include <iostream>
#include <vector>