jeongukjae

#include <stdio.h>

int subtraction(int num1, int num2) {
	int num2_inverted = ~num2;                       // invert num2 variable
	int twos_complement_of_num2 = num2_inverted + 1; // create variable of which 
                                                         // value is twos complement of num2	
	return twos_complement_of_num2 + num1;           // add twos complement of num2 and num1
}

int main() {

jeongukjae

#include <stdio.h>

int division(int num1, int num2);

int main() {
	printf("%d", division(300, 5));
	return 0;
}

int division(int num1, int num2) {

jeongukjae

#include <stdio.h>

int multiplication(int num1, int num2);
int multiplication_loop(int num1, int num2, int tmp);

// Multiplication function
int multiplication(int num1, int num2) {
	return multiplication_loop(num1, num2, 0);
}

jeongukjae

#include <SoftwareSerial.h>

SoftwareSerial BTSerial(2, 3); //Connect HC-06. Use your (TX, RX) settings

char buf[50];

void setup()  
{
  pinMode(8, OUTPUT);
  digitalWrite(8,HIGH);

jeongukjae

#!/bin/bash
# initiate

# docker
sudo wget -qO- https://get.docker.com/ | sh

sudo docker rm `sudo docker ps -aq`
sudo docker rmi hello-world

sudo systemctl enable docker.service

jeongukjae

import gym
import tflearn

from gym import wrappers

import numpy as np

# build nueral network

input_layer = tflearn.input_data(shape = [None, 4], name='input')

jeongukjae

# image classifier using nearest neighbor and cifar 10 dataset

import numpy as np
import pickle

# sort dictionary by key
def sort_key(dictionary):
    keys = list(dictionary.keys())
    keys.sort()

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# image classifier using KNN and cifar 10 dataset

import numpy as np
import pickle

# sort dictionary by key
def sort_key(dictionary):
    keys = list(dictionary.keys())
    keys.sort()

jeongukjae

# Image Classifier using Linear Classification method with Softmax and CIFAR 10 dataset

import numpy as np
import pickle
import matplotlib.pyplot as plt

# get batches from file
def get_batches(filename):
    with open(filename, 'rb') as file:
        data = pickle.load(file, encoding='bytes')

jeongukjae

FROM ubuntu:latest

MAINTAINER Jeong Ukjae <jeongukjae@gmail.com>

RUN apt-get update
RUN apt-get upgrade -y --fix-missing

RUN apt-get install build-essential nasm -y