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    Machine Learning use in Flutter The Complete Guide

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    Machine Learning use in Flutter The Complete Guide - Online Course Download
    Machine Learning use in Flutter The Complete Guide - Online Course Download
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    Development free online course free udemy paid course freecourse freecoursesite Google Flutter Mobile Development udemy course download udemy free download

    What you'll learn :

    Use of Tensorflow lite models in Flutter
    Image classification and Object Detection in Flutter
    Image Segmentation and Pose Estimation in Flutter
    Training Image classification models for Flutter Applications
    Building Machine learning based Realtime Flutter Applications
    How to integrate Firebase ML Kit in Flutter Applications
    Machine Learning models use in Flutter to build Smart Android and IOS Applications
    Using Regression models in Flutter applications
    Image labeling and Barcode scanning in Flutter
    Text Recognition and Face Detection in Flutter
    Using Machine learning models with images from gallery and camera in Flutter
    Text Translation and Language identification in Flutter

    Requirements :

    Basic Knowledge of App development in Flutter
    Developer who knows to develop Hello World Application in Flutter

    Description :

    Welcome to the Machine Learning use in Flutter, The complete guide course.

    Covering all the fundamental concepts of using ML models inside Flutter applications, this is the most comprehensive Google Flutter ML course available online.

    The important thing is you don’t need to know background working knowledge of Machine learning and computer vision to use ML models inside Flutter 2.0 ( Dart ) and train them.

    Starting from a very simple example course will teach you to use advanced ML models in your Flutter ( Android & IOS ) Applications. So after completing this course you will be able to use both simple and advance Tensorflow lite models along with a Firebase ML Kit in your Flutter ( Android & IOS ) applications.

    Course structure

    We will start by learning about two important libraries

    Image Picker: to chose images from the gallery or capture images using the camera

    Camera: to get live footage from the camera frame by frame

    Then we will learn about the Firebase ML kit and the features it provides. We will explore the features of the Firebase ML Kit and build two applications using each feature.

    The applications we will build in that section are

    Image labeling Flutter application using images of gallery and camera

    Image labeling Flutter application using live footage from the camera

    Barcode Scanning Flutter application using images of gallery and camera

    Barcode Scanning Flutter application using live footage from the camera

    Text Recognition Flutter application using images of gallery and camera

    Face Detection Flutter application using images of gallery and camera

    Face Detection Flutter application using live footage from the camera

    After learning the use of Firebase ML Kit inside Google Flutter (Android& IOS) applications we will learn the use of popular pre-trained TensorFlow lite models inside Google Flutter applications. So we explore some popular models and build the following Google Flutter applications in this section

    Image classification Flutter application using images of gallery and camera

    Image classification Flutter application using live footage from the camera

    Object detection Flutter application using images of gallery and camera

    Object detection Flutter application using live footage from the camera

    Human pose estimation Flutter application using images of gallery and camera

    Human pose estimation Flutter application using live footage from the camera

    Image Segmentation Flutter application using images of gallery and camera

    Image Segmentation Flutter application using live footage from the camera

    After that, we will learn to use Regression models in Google Flutter and build a couple of applications including

    Basic Regression Flutter Application for Android and IOS

    Fuel Efficiency predictor for vehicles in Flutter for Android and IOS

    After learning the use of pre-trained machine learning models using Firebase ML Kit and Tensorflow lite models inside Flutter ( Dart ) we will learn to train our own Image classification models without knowing any background knowledge of Machine Learning. So we will learn to

    Gether and arrange the data set for the machine learning model training

    Training Machine learning some platforms with just a few clicks

    So in that section, we will

    Train dog breed classification model

    Build a Flutter ( Android & IOS ) application to recognize different breeds of dogs

    Train Fruit recognition model using Transfer learning

    Building a Flutter ( Android & IOS ) application to recognize different fruits

    So the course is mainly divided  into three major sections

    Firebase ML Kit

    Pretrained TensorFlow lite models

    Training image classification models

    In the first section, we will learn the use of Firebase ML Kit inside the Flutter dart applications for common use cases like

    Image Labeling

    Barcode Scanning

    Text Recognition

    Face Detection

    So we will explore these features one by one and build Flutter applications. For each of the features of the Firebase ML Kit, we will build two applications. In the first application, we are gonna use the images taken from the gallery or camera, and in the second application, we are gonna use the live camera footage with the Firebase ML model. So you apart from simple ML-based applications you will also be able to build real-time face detection and image labeling application in Google Flutter dart using the live camera footage. So after completing this section you will have a complete grip on Google Firebase ML Kit and also you will be able to use upcoming features of Firebase ML Kit for Google Flutter ( Dart ).

    After covering the Google Firebase ML Kit, In the second section of this course, you will learn about using Tensorflow lite models inside Google Flutter ( Dart ). Tensorflow Lite is a standard format for running ML models on mobile devices. So in this section, you will learn the use of pretrained powered ML models inside Google Flutter dart for building

    Image Classification ( ImageNet V2 model )

    Object Detection ( MobileNet model, Tiny YOLO model)

    Pose Estimation ( PostNet model )

    Image Segmentation ( Deeplab model )

    applications. So not only you will learn to use these models with images but you will also learn to use them with frames of camera footage to build real-time applications.

    So after learning the use of Machine Learning models inside Flutter dart using two different approaches in the third section of this course you will learn to train your own Machine Learning models without any background knowledge of machine learning. So in that section, we will explore some platforms that enable us to train machine learning models for mobile devices with just a few clicks. So in the third section, you will learn to

    Collect and arrange the dataset for model training

    Training the Machine Learning models from scratch using Teachable-Machine

    Retraining existing models using Transfer Learning

    Using those trained models inside Google Flutter dart Applications

    So we will train the models to recognize different breeds of dogs and to recognize different fruits and then build Google Flutter dart Applications using those models for android and IOS.

    By the end of this course, you will be able

    Use Firebase ML kit inside Google Flutter dart applications for Android and IOS

    Use pre-trained Tensorflow lite models inside Android & IOS application using Google Flutter dart

    Train your own Image classification models and build Flutter applications.

    You’ll also have a portfolio of over 15 Flutter 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 Google Flutter Machine Learning developer.

    Building over 15 fully-fledged apps including ones that use Objet detection, Text Recognition, 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 15 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 Google Flutter ( Dart ) Machine Learning course.

    Who this course is for:

    Beginner Flutter ( Dart ) developer with very little knowledge of mobile app development in Google Flutter

    Intermediate Flutter ( Dart ) developer wanted to build a powerful Machine Learning-based application in Google Flutter

    Experienced Flutter ( Dart ) developers wanted to use Machine Learning models inside their applications.

    Anyone who took a basic flutter ( Dart ) mobile app development course before (like Flutter ( Dart ) app development course by angela yu or other such courses).

    Who this course is for :

    Anyone who took Basic Flutter course before
    Beginner Flutter Developer curious about Machine learning and computer vision use in Flutter
    Experienced Professional want to add ML models in their Flutter Applications
    App developer want to learn use of Machine learning in their Flutter Applications
    Intermediate Flutter developers looking to enhance their skillset

    Course Size Details :

    6.5 hours on-demand video
    5 downloadable resources
    Full lifetime access
    Access on mobile and TV
    Assignments
    Certificate of completion

    View Demo

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