Machine Learning use in React Native - The Practical Guide
What you'll 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
- Basic Knowledge of Mobile App development in React Native
- Developer who knows to develop Hello World Application in React Native
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.
We will start by learning about an important library
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)
Who this course is for:
- Anyone who took Basic React Native course before
- Beginner React Native Developer curious about Machine learning and computer vision use in React Native
- Experienced Professional want to add ML models in their React Native Applications
- App developer want to learn use of Machine learning in their React Native Applications
- Intermediate React Native developers looking to enhance their skillset
Experienced Mobile Developer, specialized in Mobile Machine Learning using Tensorflow lite, ML Kit, and Google cloud vision API. Leading Android Machine learning instructor with over 50,000 students from 150 countries.
I am an enthusiastic developer with a strong programming background and possess great app development skills. I have developed a bunch of native and cross-platform apps in the past and satisfied all of my clients. It has been +4 years doing Mobile development and providing support for Android Applications. Empowering mobile Applications using Machine Learning and Computer vision is my core skill.
Powering Android Application with ML really fascinates me. So I learned Android development and then Machine Learning. I developed Android applications for several multinational organizations. Now I want to spread the knowledge I have. I'm always thinking about how to make difficult concepts easy to understand, what kind of projects would make a fun tutorial, and how I can help you succeed through my courses.