Short Description
Learn how to build a Scalable Deep Learning Mobile Application using Flutter & Python step-by-step!
Description
Do you want to learn how to build a current State of the Art Deep Learning mobile app?
In this course you will learn how to build a Flutter Drawing Application, build a Generative Adverserial Neural Network in Python using Google Colab, building a REST API in Python to make requests to our generator for new sketch images, and generating our images immediately!
After completing this course you will be able to:
- Learn the tools and skills to develop any scalable Machine Learning / A.I. ideas on a mobile phone.
- Understanding how the Pix2Pix Algorithm is implemented and what it is.
- Building a REST API in Python using Flask.
- Generate Humans or anything you have an idea for.
- Build an A.I. Flutter Application.
This course is for you if …
- You’re passionate about Deep Learning/AI or Mobile Development and want to expand your knowledge.
- You enjoy applying cutting-edge algorithms to practical cases.
- Want to learn State-of-the-Art Deep Learning algorithms and how you can use them on a mobile device!
Course prerequisites:
- Flutter Knowledge
- Python Knowledge
- Love learning about applying cutting-edge algorithms to practical cases!
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:
- Intermediate Programmers
- Flutter Developers
- Python Developers
- AI Engineers
- Flutter Machine Learning
- Data Science Practical
Checkout: Flutter course