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Dave Bennett DaveBben

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This app does not collect any data at all on you. Literally, the only reason I have camera persmission is because you can't do realtime image classification without a camera.
@DaveBben
DaveBben / React Native to Android Studio
Created August 18, 2018 18:25
The console command to use to detach React Native for building and release in Android studio
react-native bundle --platform android --dev false --entry-file index.android.js --bundle-output android/app/src/main/assets/index.android.bundle --assets-dest android/app/src/main/res/
<intent-filter>
<action android:name="android.intent.action.SEND" />
<category android:name="android.intent.category.DEFAULT" />
<data android:mimeType="text/*" />
</intent-filter>
@DaveBben
DaveBben / Bitcoin_Price.csv
Last active January 8, 2018 15:25
Bitcoin CSV of open, high,low,close,volume and market cap from April 2013 to January 2018
1 Jan 04 2018 15270.7 15739.7 14522.2 15599.2 21783200000 256250000000
2 Jan 03 2018 14978.2 15572.8 14844.5 15201 16871900000 251312000000
3 Jan 02 2018 13625 15444.6 13163.6 14982.1 16846600000 228579000000
4 Jan 01 2018 14112.2 14112.2 13154.7 13657.2 10291200000 236725000000
5 Dec 31 2017 12897.7 14377.4 12755.6 14156.4 12136300000 216326000000
6 Dec 30 2017 14681.9 14681.9 12350.1 12952.2 14452600000 246224000000
7 Dec 29 2017 14695.8 15279 14307 14656.2 13025500000 246428000000
8 Dec 28 2017 15864.1 15888.4 13937.3 14606.5 12336500000 265988000000
9 Dec 27 2017 16163.5 16930.9 15114.3 15838.5 12487600000 270976000000
10 Dec 26 2017 14036.6 16461.2 14028.9 16099.8 13454300000 235294000000
@DaveBben
DaveBben / Bitcoin_Price.js
Last active January 8, 2018 15:22
A JSON of bitcoin high, low, close and market cap from APril 2013 to January 2018
const bitcoinPrice = [
{
Date: 'Jan 04, 2018',
Open: 15270.7,
High: 15739.7,
Low: 14522.2,
Close: 15599.2,
Volume: 21783200000,
Cap: 256250000000,
},
var data = [{ input: { v: 1.0, l: 1.0, c: 1.0 }, output: { h: 1 } },
{ input: { v: 0.8, l: 0.75, c: 0.58 }, output: { h: 1 } }, //80k views, 7500 comments 5500 likes
{ input: { v: 0.85, l: 0.9, c: 0.7 }, output: { h: 1 } },
{ input: { v: 0.92, l: 0.83, c: 0.79 }, output: { h: 1 } },
{ input: { v: 0.0, l: 0.0, c: 0.0 }, output: { b: 1 } },
{ input: { v: 0.2, l: 0.34, c: 0.3 }, output: { b: 1 } },
{ input: { v: 0.5, l: 0.1, c: 0.1 }, output: { b: 1 } },
{ input: { v: 0.3, l: 0.3, c: 0.1 }, output: { b: 1 } },
]
function doAfterDelay(callBackFuntion) {
return callBackFuntion(console.log("B"))
}
(function start() {
console.log("A");
setTimeout(function () {
doAfterDelay(() => {
console.log("C");
const brain = require('brain.js');
var net = new brain.NeuralNetwork();
let ops = [
{ input: [.7], output: [.5] },
{ input: [.71], output: [.5] },
{ input: [.708], output: [.5] },
{ input: [.704], output: [.53] },
{ input: [.708], output: [.53] },
const brain = require('brain.js');
var net = new brain.NeuralNetwork();
let ops = [
{ input: [.7], output: [.5] },
{ input: [.71], output: [.5] },
{ input: [.708], output: [.5] },
{ input: [.704], output: [.53] },
{ input: [.708], output: [.53] },
net.train(ops, { log: true, errorThresh: 0.0001, iterations: 50});