Build 7 Cutting-Edge Deep Learning Mobile Applications with React-Native & Python!

What you will learn

Learn how to build State-of-the-Art algorithms in Python and then implement them into a React-Native application!

Build any Neural Networks in Python and then export them into your React-Native application.

The tools and skills to develop any AI idea you have onto a mobile phone.

Use different strategies to get Neural Networks with 90%+ accuracy.

Implementing NLP Algorithms in React-Native

React-Native Machine Learning

React-Native Deep Learning

Description

Join the most comprehensive React-Native & Deep Learning course on Udemy and learn how to build amazing state-of-the-art Deep Learning applications!

Do you want to learn about State-of-the-art Deep Learning algorithms and how to apply them to IOS/Android apps? Then this course is exactly for you! You will learn how to apply various State-of-the-art Deep Learning algorithms such as GAN’s, CNN’s, & Natural Language Processing. In this course, we will build 7 Deep Learning apps that will demonstrate the tools and skills used in order to build scalable, State-of-the-Art Deep Learning React-Native applications!

After completing this course you will be able to:

  • Learn the tools and skills to develop any AI idea you have onto a mobile phone.
  • Have a clear understanding of different types of Neural Networks and how you can use them to your advantage.
  • Build any Neural Networks in Python and then export them into your React-Native application.
  • Use different strategies to get neural networks with 90%+ accuracy.

Why should you choose this course?

This course covers all the steps that one should take to create a React-Native application that uses State-of-the-Art Deep Learning approaches.

It is extremely hard to find good tutorials that teach you how to implement these algorithms, so the instructor, Samuel Boylan-Sajous, who has been programming for years, and has a Computer Science degree at the University of Guelph, has decided to share all of his knowledge with other students that are passionate about Deep Learning and building practical A.I. applications.

Here’s what’s included in the course:

  • Building a neural network on Teachable Machine and exporting it into React-Native project
  • Building a neural network in Keras/Python on Google Collab and exporting it into React-Native project
  • Using API’s to perform some Natural Language Processing and implementing those algorithms into our app.
  • Use Generative Adversarial Neural Networks to Generate Art!
  • And much more!

This course is for you if …

  • You’re interested in building real native mobile apps for the two most popular mobile platforms – iOS and Android
  • You’re passionate about Deep Learning/AI or Mobile Development and want to expand your knowledge.
  • You want to expand your Deep Learning/AI portfolio with 7 Cutting Edge Deep Learning apps!
  • Want to learn State-of-the-Art Deep Learning algorithms and how you can use them on a mobile device!

Course prerequisites:

  • Knowing mobile development will help a lot but is not a hard requirement (You would be fine if you only knew CSS/HTML & Object-Oriented Programming, just do some research on what React-Native is)
  • Know some theory behind Neural Networks (Know how data is processed in a Neural Network)

Our Promise

Teaching our students is my job and I am committed to it. If you have any questions about the course content or anything related to any topic, you can always post a question in the course or send me a direct message.

English

Language

Content

Introduction to Course

Introduction to Course

Installing React & VS Code Extensions

Getting development environment ready

VS Code Extensions used in Course

Learn React-Native

Introduction & Setting up the Project

Importing UI Dependencies

Creating Class

Building the UI – Part 1

Building the UI – Part 2

Styling Output

Creating State Variables

Increment Count

Adding State to UI

Not Hotdog App

Introduction & Setting up the Project

Importing UI Dependencies

Creating Class

Building the UI – Part 1

Building the UI – Part 2

Configuring Image-Picker

Functions for Image-Picker

Configuring TFlite

Functions for TFlite

Building our Neural Network in Teachable Machine

Integrating Neural Network in our App

Storing our Prediction

Adding Logic to UI

Taking Photo from Device Functionality

PoseNet, MobileNet, SSD, Segmentation & YOLO Neural Networks App

Introduction & Setting up the Project

Importing UI Dependencies

Building the UI

Allowing the User to Select Multiple Models

Configuring TFlite

Functions for TFlite

Adding Logic to UI

Configuring Image-Picker

Functions and UI for Image-Picker

Functions for TFlite Predictions

Functions to go Back

Setting up Functions for Predictions

Outputting Prediction Functions – SSD & YOLO

Outputting Prediction Functions – Segmentation

Outputting Prediction Functions – Pose Net – Part 1

Outputting Prediction Functions – Pose Net – Part 2


Subscribe to latest coupons on our Telegram channel.

Flower Classifier App

Introduction & Setting up the Project

Importing UI Dependencies

Creating Class

Building the UI – Part 1

Building the UI – Part 2

Configuring Image-Picker

Functions for Image-Picker

Configuring TFlite

Functions for TFlite

Building Neural Network in Python – Getting Data

Building Neural Network in Python – Labels & Transfer Learning

Building Neural Network in Python – Fitting our Model

Using our Model in React-Native

Updating UI with Prediction

Taking Photo from Device Functionality

Gemstone Classifier

Introduction & Setting up the Project

Importing UI Dependencies

Building the UI – Part 1

Building the UI – Part 2

Building the UI – Part 3

Configuring Image-Picker

Functions for Image-Picker

Creating State Variables

Configuring TFlite

Building our Neural Network – Part 1

Building our Neural Network – Part 2

Building our Neural Network – Part 3

Importing Neural to React-Native

Making Predictions on User’s Image – Part 1

Making Predictions on User’s Image – Part 1

Sentiment Analysis App

Introduction & Setting up the Project

Importing UI Dependencies

Building the UI – Part 1

Building the UI – Part 2

Finding API

Using API in React-Native

Outputting Prediction

Black & White Image Colorizer

Introduction & Setting up the Project

Building the UI – Part 1

Building the UI – Part 2

Building the UI – Part 3

Configuring Image-Picker

Functions for Image-Picker

Creating State Variables

Setting State Variables

API

Showing Output

Fixing Bug

Final Touches

Style Transfer App

Introduction & Setting up the Project

Importing UI Dependencies

Building the UI – Part 1

Building the UI – Part 2

Configuring Image-Picker

Functions for Image-Picker

Output Page Component

Go Back Functionality

Integrating API in our App

Outputting Prediction Functions – Part 1

Final Touches