Createdd

<link rel="stylesheet" type="text/css" href="http://fonts.googleapis.com/css?family=Permanent+Marker"> 
<div class="container text-center"style="background: url('https://images.unsplash.com/photo-1448201509143-782c98e5d1c6?ixlib=rb-0.3.5&q=80&fm=jpg&crop=entropy&cs=tinysrgb&s=46099a9141e9db4b463d29120c046555'),black; background-size: cover; color:white; width:100vw; height:100vh; font-family: Verdana, Arial;">
<div style="font-family: Permanent Marker">
    <h1>TicTacToe Game</h1>
    <h3>A Challenge by Free Code Camp</h3>
    <h4>Written by Daniel Deutsch</h4>
</div>
  <div class="row" id="question" style="height:9em; font-family: Arial Black, Arial;">
      <h1>Do you want to be 
      <a class="btn btn-success" id="X">X</a> or 

Createdd

<link rel="stylesheet" type="text/css" href="http://fonts.googleapis.com/css?family=Coda">
<link rel="stylesheet" type="text/css" href="http://fonts.googleapis.com/css?family=Walter+Turncoat">
<div class="rain container">  
    <div id="timer" class="text-center row" style="margin-top:5%;">
      <h2>Time Spend Coding:</h2>
      <span id="days"></span> days
      <span id="hours"></span> hours
      <span id="minutes"></span> minutes
      <span id="seconds"></span> seconds
      <div class="wrapQuotes">

Createdd

const express = require('express');
const morgan = require('morgan');
const path = require('path');
const app = express();
const server = require('http').Server(app);
const io = require('socket.io')(server);
const bodyParser = require('body-parser');
const mongoose = require('mongoose');
require('dotenv').config();

Createdd

import React from 'react';
import PropTypes from 'prop-types';
import { connect } from 'react-redux';
import io from 'socket.io-client';

import Collapsible from './Collapsible';
import { checkDB, newStock, deleteStock } from '../../ducks/stocks';

export class CollapsibleCon extends React.Component {
	constructor(props) {

Createdd

import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data

# Only log errors (to prevent unnecessary cluttering of the console)
tf.logging.set_verbosity(tf.logging.ERROR)

# We use the TF helper function to pull down the data from the MNIST site
mnist = input_data.read_data_sets("MNIST_data/", one_hot=True)

Createdd

import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data

# Only log errors (to prevent unnecessary cluttering of the console)
tf.logging.set_verbosity(tf.logging.ERROR)

# We use the TF helper function to pull down the data from the MNIST site
mnist = input_data.read_data_sets("MNIST_data/", one_hot=True)

Createdd

import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data

# Only log errors (to prevent unnecessary cluttering of the console)
tf.logging.set_verbosity(tf.logging.ERROR)

# We use the TF helper function to pull down the data from the MNIST site
mnist = input_data.read_data_sets("MNIST_data/", one_hot=True)

Createdd

import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data
from datetime import datetime

# Create a subfolder for each log
subFolder = datetime.now().strftime("%Y%m%d-%H%M%S")
logdir = f"./tfb_logs/{subFolder}/"

# Only log errors (to prevent unnecessary cluttering of the console)

Createdd

import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data
from tensorflow.python import debug as tf_debug
from datetime import datetime

# Create a subfolder for each log
subFolder = datetime.now().strftime("%Y%m%d-%H%M%S")
logdir = f"./tfb_logs/{subFolder}/"

Createdd

import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data
from tensorflow.python import debug as tf_debug

# Only log errors (to prevent unnecessary cluttering of the console)
tf.logging.set_verbosity(tf.logging.ERROR)

# We use the TF helper function to pull down the data from the MNIST site
mnist = input_data.read_data_sets("MNIST_data/", one_hot=True)