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vector<float> X {
    5.1, 3.5, 1.4, 0.2,
    4.9, 3.0, 1.4, 0.2,
    6.2, 3.4, 5.4, 2.3,
    5.9, 3.0, 5.1, 1.8
};

vector<float> y {
    0,
    0,

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

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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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vector <float> sigmoid_d (const vector <float>& m1) {
    
    /*  Returns the value of the sigmoid function derivative f'(x) = f(x)(1 - f(x)), 
        where f(x) is sigmoid function.
        Input: m1, a vector.
        Output: x(1 - x) for every element of the input matrix m1.
    */
    
    const unsigned long VECTOR_SIZE = m1.size();
    vector <float> output (VECTOR_SIZE);

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

# Sergei Bugrov
# 7-9-17
#
# Downloads all available books in English language in .txt format from http://www.gutenberg.org,
# unpacks them from .zip archives, saves them to ../books/ folder, and deletes .zip files.
#
# usage : python gutenberg.py
#

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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>