Udemy – Tensorflow lite for Flutter Smart Mobile app development

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
Applications.
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
After that, we will explore some platforms to train image classification models without knowing any background knowledge of Machine learning.
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
So this course will
boost your mobile app development career
give your company a huge competitive advantage
The underlying motivation for this course is that you can use
ML(Machine Learning) models in your own application
Impress potential employers with your Flutter(Dart) ML abilities
You’ll also have a portfolio of over 10 apps that you can show off to any potential employer.
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.
REMEMBER. I’m so confident that you’ll love this course that we’re offering a FULL money-back guarantee for 30 days! So it’s a complete no-brainer, sign up today with ZERO risks and EVERYTHING to gain.
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

Tensorflow lite for Flutter Smart Mobile app development

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

RAPIDGATOR
https://rapidgator.net/file/a07c7ffdfba4de47ee518bf24c173efd/Tensorflow_lite_for_Flutter_Smart_Mobile_app_development.part1.rar.html
https://rapidgator.net/file/c9e872054adfcea0e32d2b6308b3915b/Tensorflow_lite_for_Flutter_Smart_Mobile_app_development.part2.rar.html
https://rapidgator.net/file/aef6a5a0b77257b22956d2d2e102761d/Tensorflow_lite_for_Flutter_Smart_Mobile_app_development.part3.rar.html
https://rapidgator.net/file/4015f7d23501d2d02be9be34125395a6/Tensorflow_lite_for_Flutter_Smart_Mobile_app_development.part4.rar.html

NITROFLARE
https://nitroflare.com/view/9E885857199F640/Tensorflow_lite_for_Flutter_Smart_Mobile_app_development.part1.rar
https://nitroflare.com/view/287530BF1AB934B/Tensorflow_lite_for_Flutter_Smart_Mobile_app_development.part2.rar
https://nitroflare.com/view/7A6A4A8E42BF6CA/Tensorflow_lite_for_Flutter_Smart_Mobile_app_development.part3.rar
https://nitroflare.com/view/1FAA7504ABE6DB4/Tensorflow_lite_for_Flutter_Smart_Mobile_app_development.part4.rar