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2021-03-01 20:16:35
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IT & Software Other IT & Software Deep Learning

Deep Learning with React-Native & Python - Build 7 AI Apps

Build 7 Cutting-Edge Deep Learning Mobile Applications with React-Native & Python!
Hot & New
Rating: 4.6 out of 54.6 (19 ratings)
1,747 students
Created by Samuel Boylan-Sajous
Last updated 3/2021
English
English [Auto]
30-Day Money-Back Guarantee

What you'll 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

Requirements

  • Introduction to Programming
  • Know some theory behind Neural Networks
  • Curiosity

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.

Who this course is for:

  • Beginner/Intermediate React-Native developers
  • People that want to learn Deep Learning for mobile development
  • People that want to apply State-of-the-Art Deep Learning Algorithms to mobile apps
  • Want to build State-of-the-Art Deep Learning/A.I. applications

Course content

11 sections • 104 lectures • 8h 2m total length

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  • Introduction & Setting up the Project
    01:40
  • Importing UI Dependencies
    05:40
  • Building the UI
    05:19
  • Allowing the User to Select Multiple Models
    07:07
  • Models Folder
    00:00
  • Configuring TFlite
    03:52
  • Functions for TFlite
    01:44
  • Adding Logic to UI
    02:43
  • Configuring Image-Picker
    04:29
  • Functions and UI for Image-Picker
    03:54
  • Functions for TFlite Predictions
    09:07
  • Functions to go Back
    03:27
  • Setting up Functions for Predictions
    02:55
  • Outputting Prediction Functions - SSD & YOLO
    13:09
  • Outputting Prediction Functions - Segmentation
    08:02
  • Outputting Prediction Functions - Pose Net - Part 1
    07:17
  • Outputting Prediction Functions - Pose Net - Part 2
    03:46

  • Introduction & Setting up the Project
    01:41
  • Importing UI Dependencies
    03:36
  • Creating Class
    05:33
  • Building the UI - Part 1
    04:48
  • Building the UI - Part 2
    01:41
  • Configuring Image-Picker
    04:09
  • Functions for Image-Picker
    02:50
  • Configuring TFlite
    02:35
  • Functions for TFlite
    02:55
  • Building Neural Network in Python - Getting Data
    09:31
  • Building Neural Network in Python - Labels & Transfer Learning
    07:59
  • Building Neural Network in Python - Fitting our Model
    09:48
  • Using our Model in React-Native
    05:17
  • Updating UI with Prediction
    04:39
  • Taking Photo from Device Functionality
    02:26

  • Introduction & Setting up the Project
    01:55
  • Importing UI Dependencies
    02:10
  • Building the UI - Part 1
    04:26
  • Building the UI - Part 2
    05:25
  • Building the UI - Part 3
    02:58
  • Configuring Image-Picker
    04:22
  • Functions for Image-Picker
    02:38
  • Creating State Variables
    01:14
  • Configuring TFlite
    04:34
  • Building our Neural Network - Part 1
    09:05
  • Building our Neural Network - Part 2
    12:47
  • Building our Neural Network - Part 3
    04:41
  • Importing Neural to React-Native
    02:29
  • Making Predictions on User's Image - Part 1
    02:59
  • Making Predictions on User's Image - Part 1
    07:31

  • Introduction & Setting up the Project
    01:39
  • Importing UI Dependencies
    02:29
  • Building the UI - Part 1
    05:34
  • Building the UI - Part 2
    06:45
  • Finding API
    03:23
  • Using API in React-Native
    07:46
  • Outputting Prediction
    08:24

  • Introduction & Setting up the Project
    02:00
  • Building the UI - Part 1
    03:18
  • Building the UI - Part 2
    04:30
  • Building the UI - Part 3
    08:03
  • Configuring Image-Picker
    04:57
  • Functions for Image-Picker
    03:27
  • Creating State Variables
    01:21
  • Setting State Variables
    01:36
  • API
    08:21
  • Showing Output
    16:58
  • Fixing Bug
    02:50
  • Final Touches
    02:04

  • Introduction & Setting up the Project
    01:55
  • Importing UI Dependencies
    03:58
  • Building the UI - Part 1
    03:37
  • Building the UI - Part 2
    05:52
  • Configuring Image-Picker
    04:32
  • Functions for Image-Picker
    05:54
  • Output Page Component
    06:45
  • Go Back Functionality
    01:08
  • Integrating API in our App
    08:21
  • Outputting Prediction Functions - Part 1
    07:35
  • Final Touches
    02:22

Instructor

Samuel Boylan-Sajous
Machine Learning Engineer
Samuel Boylan-Sajous
  • 4.6 Instructor Rating
  • 191 Reviews
  • 12,588 Students
  • 3 Courses

Hey! I’m Samuel Boylan-Sajous. As I see it, machine learning and deep learning are going to change the world in ways we can only imagine. I’m committed to learning all about them by doing practical projects that solve real world problems and sharing what I learn along the way. I have a degree in Computer Science from the University of Guelph and years of programming experience in multiple languages. Let's learn together! :)

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