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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. |
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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/ |
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<intent-filter> | |
<action android:name="android.intent.action.SEND" /> | |
<category android:name="android.intent.category.DEFAULT" /> | |
<data android:mimeType="text/*" /> | |
</intent-filter> |
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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 |
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const bitcoinPrice = [ | |
{ | |
Date: 'Jan 04, 2018', | |
Open: 15270.7, | |
High: 15739.7, | |
Low: 14522.2, | |
Close: 15599.2, | |
Volume: 21783200000, | |
Cap: 256250000000, | |
}, |
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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 } }, | |
] |
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function doAfterDelay(callBackFuntion) { | |
return callBackFuntion(console.log("B")) | |
} | |
(function start() { | |
console.log("A"); | |
setTimeout(function () { | |
doAfterDelay(() => { | |
console.log("C"); |
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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] }, |
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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] }, |
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net.train(ops, { log: true, errorThresh: 0.0001, iterations: 50}); |
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