Live feed Object detection , Image classification , Pose Estimation | Regression | Training ML models | 10+ Apps
What you'll learn
- Use of Tensorflow lite models in Flutter
- Using regression model in Flutter
- Training Image classification model
- Building live feed object detection Flutter application
- Building live feed image classification, Pose estimation Flutter application
- Building 10+ Flutter ML Applications
- Training Fruit Recognition model
- Building Dog breed identification Application
Requirements
- Some basic Knowledge of Flutter
Description
Do you want to build Machine Learning based Android and IOS applications?
Then welcome to "Tensorflow lite for Flutter, Smart App Development course"
This course will teach you to build powerful ML-based Flutter applications using Tensorflow lite models.
My name is Muhammad Hamza Asif and I am a mobile machine learning instructor and AI entrepreneur. And Over the last three years, I am teaching the use of ML(Machine Learning) and computer vision in mobile devices to over 50,000 students.
Starting from learning the basics of Tensorflow lite you will learn the use of popular pre-trained models for Building
- Image Classification(Using images or live camera footage) for Android and IOS
- Object Detection(Using images or live camera footage) for Android and IOS
- Pose Estimation(Using images or live camera footage) for Android and IOS
- Image Segmentation for Android and IOS
Then we will learn to analyze and use regression models in Flutter(Dart) and build a couple of applications including
- Basic Example for Android and IOS
- Fuel Efficiency predictor for vehicles for Android and IOS
So we will learn to get the dataset from Kaggle. After that, we will train the model to recognize different breeds of dogs and build a Flutter (Dart) application for that model.
Then using a technique called transfer learning we will retrain the mobile net model on our Fruit dataset and build a Flutter(Dart) application for that model.
After taking this course you will be able to
- use pre-trained ML(Machine Learning) models in Flutter(Dart)
- train your own Image classification models
- 10+ powerful ML(Machine Learning)-based Flutter(Dart) Applications to empower your Resume
- boost your mobile app development career
- give your company a huge competitive advantage
- ML(Machine Learning) models in your own application
- Impress potential employers with your Flutter(Dart) ML abilities
Sign up today, and look forwards to:
- HD 1080p video content, everything you'll ever need to succeed as a Flutter(Dart) Machine Learning developer.
- Building over 10 fully-fledged apps including ones that use Objet detection, Pose estimation models, and much much more.
- All the knowledge you need to start building Machine Learning-based app you want
- $2000+ Source codes of 10 Applications.
So what are you waiting for? Click the buy now button and join the world's best Flutter Machine Learning course.
Who this course is for:
- Beginner Flutter developer with little knowledge of mobile app development in Flutter
- Intermediate Flutter developer wanted to build a powerful Machine Learning-based application in Flutter
- Experienced Flutter developers wanted to use Machine Learning models inside their applications.
- Anyone who took a basic flutter mobile app development course before (like flutter app development course by angela yu or other such courses).
Who this course is for:
- Beginner Flutter developer want to learn use of Machine learning in Flutter
- Intermediate Flutter developer looking to enhance their skillset
- Expert Flutter developer want to build state of the art Applications
- Flutter Developers want to learn Tensorflow lite models in Flutter
