Machine Learning use in React Native - The Practical Guide

Build smart Android & IOS applications in React Native | Train Machine Learning Models for React Native , build 10+ Apps

3.15 (15 reviews)
Udemy
platform
English
language
Mobile Apps
category
instructor
149
students
4.5 hours
content
Mar 2022
last update
$49.99
regular price

What you will learn

Use of Machine learning models with images from gallery and camera in React Native

Use of Tensorflow lite models in React Native

Training Machine Learning models for React Native Applications

Live Feed Image classification and Object Detection in React Native

Image Segmentation and Pose Estimation in React Native

Building Machine learning based Realtime React Native Applications

Machine Learning models use in React Native to build Smart Android and IOS Applications

Description

Welcome to the Machine Learning use in React Native - The Practical Guide

Covering all the fundamental concepts of using ML models inside React Native applications, this is the most comprehensive React Native ML course available online.

The important thing is you don't need to know background working knowledge of Machine learning and computer vision to use ML models inside React Native and train them.

Starting from a very simple example course will teach you to use advanced ML models in your React Native ( Android & IOS ) Applications. So after completing this course you will be able to use both simple and advanced Tensorflow lite models in your React Native( Android & IOS ) applications.

Who can take this course

Anyone with a very little knowledge of app development in React Native with Expo or with React Native CLI. We will use React Native CLI but course will also guide you if you just have the expo knowledge.

Course structure

We will start by learning about an important library

  1. Image Picker: to choose images from the gallery or capture images using the camera in React Native

So later we can use a computer vision model with both images and live camera footage in React Native.


Then we will learn the use of popular pre-trained TensorFlow lite models inside React Native applications. So we explore some popular models and build the following React Native applications in this section

  • Image classification React Native application using images of gallery and camera

  • Image classification React Native application using live footage from the camera

  • Object detection React Native application using images of gallery and camera

  • Human pose estimation React Native application using images of gallery and camera

  • Image Segmentation React Native application using images of gallery and camera


After learning the use of pre-trained machine learning models inside React Native we will learn to train our own Image classification models without knowing any background knowledge of Machine Learning. So we will learn to

  • Gether and arrange the data set for the machine learning model training

  • Training Machine learning some platforms with just a few clicks

So in that section, we will

  • Train a dog breed classification model for React Native

  • Build a React Native( Android & IOS ) application to recognize different breeds of dogs

  • Train Fruit recognition model using Transfer learning

  • Building a React Native( Android & IOS ) application to recognize different fruits


So the course is mainly divided  into two major sections

  • Pretrained TensorFlow lite models for React Native

  • Training image classification models for React Native


So in the first section of this course, you will learn about using Tensorflow lite models inside React Native. Tensorflow Lite is a standard format for running ML models on mobile devices. So in this section, you will learn the use of pretrained powered ML models inside React Native for building

  • Image Classification React Native( ImageNet V2 model )

  • Object Detection  React Native( MobileNet model, Tiny YOLO model)

  • Pose Estimation  React Native( PostNet model )

  • Image Segmentation  React Native( Deeplab model )

applications. So not only you will learn to use these models with images but you will also learn to use them with frames of camera footage to build real-time React Native applications.

So after learning the use of Machine Learning models inside React Native using two different approaches in the third section of this course you will learn to train your own Machine Learning models without any background knowledge of machine learning. So in that section, we will explore some platforms that enable us to train machine learning models for mobile devices with just a few clicks. So in the third section, you will learn to

  • Collect and arrange the dataset for model training

  • Training the Machine Learning models from scratch using Teachable-Machine

  • Retraining existing models using Transfer Learning

  • Using those trained models inside React Native Applications

So we will train the models to recognize different breeds of dogs and to recognize different fruits and then build React Native Applications using those models for android and IOS.

By the end of this course, you will be able

  • Use pre-trained Tensorflow lite models inside Android & IOS applications using React Native

  • Train your own Image classification models and build React Native applications.

You'll also have a portfolio of over 10 React Native apps that you can show off to any potential employer.

Sign up today, and look forwards to:

  • HD 1080p video content, everything you'll ever need to succeed as a React Native Machine Learning developer.

  • Building over 10 fully-fledged React Native applications including ones that use Objet detection, Pose estimation models, and much much more.

  • All the knowledge you need to start building Machine Learning-based React Native(Android or IOS) application you want

  • $2000+ Source codes of 10 Applications.

REMEMBER… I'm so confident that you'll love this course that we're offering a FULL money-back guarantee for 30 days! So it's a complete no-brainer, sign up today with ZERO risks and EVERYTHING to gain.

So what are you waiting for? Click the buy now button and join the world's best React Native Machine Learning course.

Who this course is for:

  • Beginner React Native developer with very little knowledge of mobile app development in React Native

  • Intermediate React Native developer wanted to build a powerful Machine Learning-based application in React Native

  • Experienced React Native developers wanted to use Machine Learning models inside their applications.

  • Anyone who took a basic React Native mobile app development course before

  • Anyone with knowledge of React Native App development with expo

  • Anyone with knowledge of React Native App development without expo (CLI)

Content

Setting up the environment

Course Introduction
Setting up the code editor
Android studio and emulator
Creating an Android Emulator

Choosing and capturing images

Creating a new React Native Project
Creating GUI of the Application
Choosing images from gallery in React Native
Capturing images using camera in React Native
Overview

Pretrained Machine Learning Models Use in React Native

Section Introduction
Machine Leaning Introduction
Tensorflow lite Introduction

Image Classification

Section Introduction
Setting up the project
Adding model inside React native project
Performing image classification
Showing predictions on screen
What we have done so far

Image Classification live feed

Quantization
Creating and running a new react native project
Perofrming image classification with live camera footage
Showing live camera footage in react native
Showing predictions of model on screen
Overview and customisation

Object Detection

Object Detection Section Introduction
Setting up the starter application for object detection
Performing object detection in React Native
Understanding output format
Drawing rectangles around detected objects
Showing names of predictions
Object detection using YOLO

Pose Estimation

Pose Estimation Section Introduction
Importing starter application code
Performing pose estimation in react native using posenet model
Showing results to the user

Image Segmentation

Image Segmentation Section Introduction
Setting up the starter project for image segmentation
Performing Image Segmentation using Deeplab model
Clarifying some concepts

Training Machine Learning Models for React Native

Section Introduction
Training Image Classification Model

Training dog breed recognition model for React Native

How to find Image classification datasets
Arranging image classification dataset
Training an Image classification model
Testing and downloading the model
What we have done so far
Dog breed recognition with images

Transfer Learning

Fruit Recognition with Transfer Learning
Getting fruits dataset for model training
Uploading fruits dataset
Google colab
Training fruit recognition model
Saving trained model in drive
Directly uploading dataset on google colab
Exploring notebook further and testing tflite file
Retraining other models
Fruit recognition with Images
Fruit Recognition using live camera footage

Screenshots

Machine Learning use in React Native - The Practical Guide - Screenshot_01Machine Learning use in React Native - The Practical Guide - Screenshot_02Machine Learning use in React Native - The Practical Guide - Screenshot_03Machine Learning use in React Native - The Practical Guide - Screenshot_04

Reviews

Eddy
December 30, 2021
This course is an fake advertising, because the applications does not work in IOS, only with Android. And the audio does not exist in some videos. Very disappointing

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4351854
udemy ID
10/16/2021
course created date
11/4/2021
course indexed date
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