Deep Learning with React-Native & Python - Build 7 AI Apps
Build 7
Cutting-Edge Deep Learning Mobile Applications with React-Native & Python!
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
0 Comments