React Native Development With Artificial Intelligence

February 12, 2021 Publish By : EXPERT APP DEVS 5 min read Viewed By : 811
React Native Development With Artificial Intelligence

We all are excited when we listen about topics like - AI, when someone talks about AI, we think about AIs like Siri. Which changes our lives year by year.

A lot of jobs are generated day by day because of AI, AI are becoming smarter every day.
In today’s era AI based movies are released every month mostly in hollywood.

                         Deep Learning With React Native

It covers the basics of AI, how it works, what it does, and everything. There is lot’s of  innovations which are going to happen, for now we will have to start easy and small but things will work out.

Basic information: 
If you want to learn AI, then you must know the math in good terms, like highschool math, gradient optimization and derivation plays the important role for maths part.

React Native Components For AI:
React native Development provides some components for implementing ML in AI., I am listing some of them.

  1. React native tensorflow -  npm i @tensorflow/tfjs-react-native
  2. React native caffe 2 -  npm i react-native-caffe2
  3. React native coreml -  npm i react-native-coreml
  4. React native image ml - npm i react-native-core-ml-image

Machine and Deep learning:

If we talk about AI then how can we forget about machine and deep learning, so we get some little information about this.

Some people might think that machine learning and deep learning is a name of AI, but it’s not true.

Difference Between AI, Machine and Deep learning:

Here I am trying to explain the difference between artificial intelligence, machine learning and deep learning, imagine you have 3 - circles, all are different in size.

The bigger one is AI and the second size circle is machine learning and the third one is the smallest one which is deep learning.                            Difference Between AI - Machine and Deep learning

AI Popularity Example

In 2016 google started a game called “DeepMind AlphaGo” which beat the “Lee-Sedol”  korean game.

From now on the media started covering AI, machine learning and deep learning for explaining how this game works and how google won by using this. 

Machine Learning
ML is a subfield of artificial intelligence, why we call it machine learning, because in this we provide the set of data to a system and that system analyses the data and improves the result.

Machine learning is compared by human brains, so we learn from our surrounding things and make it better by experience.

Example - if you want to write an ML algorithm which differentiate between red and black color, for this you need to do following steps,

  1. Take an color list file as input
  2. Perform some analysis on color basis
  3. And you get the color name as output

So this is a step for ML analysis, i think you get it.
Deep Learning: 
Deep learning is a part of machine learning where we deal with structure and function of the brain, it gets the great result in computer vision and machine learning.

Advantage of deep learning is, it does not require feature engineering, for features we use the pixels of images, it uses the neural network, you can use the tensorflow for neural networks.

Example of AI with React Native Development:
Here we are going to implement the AI, by using the react native caffe2 npm plugin, so let’s start the project and do follow step by step.

Step1 -  
Create a simple react native development project by using this command.

react-native init AIExample                                               

Step2 -  
Now we are going to install the third party npm plugin caffe2 for use React native development service of AI.

npm i react-native-caffe2                                                  

Step3 -  
Import the caffe2 plugin where you want to implement the machine learning code.

import  RNCaffe2 from 'react-native-caffe2'                                

Step4 -  
Now we implement the caffe2 plugin code in our project, open the file where you want to implement machine learning caffe2 plugin. Now you are able to use React Native Development service of AI using caffe2 plugin.

import React, { Component } from 'react';
import {
} from 'react-native';
import RNCaffe2 from 'react-native-caffe2';
export default class toast extends Component {
  constructor(props) {
    this.state = {label: 'react-native-caffe2'};
  render() {
    var json = require('./classes');
    RNCaffe2.classifyImage( 'dog.jpg','exec_net','predict_net',json.classes, (error, label) => { if (error) { console.error(error); } else { this.setState({label: label});}})
return<View style={styles.container}>  <Text style={styles.welcome}> {this.state.label} </Text></View> )}}
const styles = StyleSheet.create({
  container: {
    flex: 1,
    justifyContent: 'center',
    alignItems: 'center',
    backgroundColor: '#F5FCFF',
  welcome: {
    fontSize: 20,
    textAlign: 'center',
    margin: 10,
AppRegistry.registerComponent('appName', () => appName);

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