Learn how to create and utilize a machine learning model in an Android application using Tensorflow Lite
IMPORTANT: PLEASE VIEW THE COURSE IN 1080P IN THE PLAYER
Are you interested in Android development?
Are you interested in using machine learning to create novel applications?
Do you have an application idea that could benefit from the use of a machine learning model?
If you answered yes to any of these questions this course is for you!
The goal of this course is to walk through the steps required to create a mobile application that utilizes a machine learning model. The specific application is to control Spotify playback using a gesture recognition machine learning model. The course also teaches how to extend the code created to suit your own application ideas. Therefore at the course completion you will have a useful starting point for you application ideas as well as deep knowledge of how it all fits together.
This course will teach you to take an application idea that utilizes a machine learning image classification model to accomplish a simple task. The application will control Spotify playback using hand gestures interpreted by the image classification model.
Project Steps
Train an image classification model using TensorFlow
Convert the model to a TensorFlow Lite compatible model
Create an Android application that utilizes the classification model, the new Android CameraX API, and the Android Spotify API
If you want to jump into the exciting world of machine learning, and mobile machine learning this course is a great asset for you!
Who this course is for:
- Android developers interested in mobile machine learning
- Machine learning enthusiasts.
Comments
Post a Comment