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Machine Learning for Flutter – The Complete 2023 Guide

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Name:Machine Learning for Flutter – The Complete 2023 Guide
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Description

Welcome to the Machine Learning use in Flutter The Complete 2023 Guide.

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 ( Dart ) and train your custom machine, learning models.

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 advanced Tensorflow lite models along with a Firebase ML Kit in your Flutter ( Android & IOS ) applications.

What we will cover in this course?

   Learning the use of existing machine learning models in Flutter (Android and IOS) applications
   Learn to train your own custom machine-learning models and build Flutter applications
   Train Machine Learning models on Custom datasets for Image Classification & Object Detection
   Choosing images from the gallery ad capturing images using the camera  in Flutter
   Displaying live camera footage and fetching frames of live camera footage in Flutter
   Image classification with images and live camera footage in Flutter (Android and IOS)
   Object Detection with Images and Live Camera footage in Flutter (Android and IOS)
   Image Segmentation to make images transparent in Flutter (Android and IOS)
   Barcode Scanning in Flutter to scan barcodes and QR codes
   Pose Estimation in Flutter to detect human body joints
   Text Recognition in Flutter to recognize text in images
   Text Translation in Flutter to translate between different languages
   Face Detection in Flutter to detect faces, facial landmarks, and facial expressions
   Smart Reply in Flutter
   Digital Ink Recognition in Flutter
   Language Identification in Flutter
   Training image classification models for Flutter (Android and IOS) applications
   Training object detection models for Flutter (Android and IOS) applications
   Retraining existing machine learning models with transfer learning for Flutter (Android and IOS) applications
   Using our custom machine learning models in Flutter (Android and IOS) applications

Course structure

We will start by learning about two important libraries

   Image Picker: to choose images from the gallery or capture images using the camera in Flutter
   Camera: to get live footage from the camera frame by frame in Flutter

So later we can use a computer vision model with both images and live camera footage in Flutter.

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 flutter applications using each feature.

The flutter 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
   Text Recognition Flutter application using live footage from the camera
   Face Detection Flutter application using images of gallery and camera
   Face Detection 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
   Smart Reply Flutter Application to generate smart reply suggestions in chat applications
   Digital Ink Recognition Application to Recognize handwritten text
   Entity Extraction Flutter Application to extract different entities from text
   Pose Detection Flutter application using images of gallery and camera
   Pose Detection Flutter application using live footage from the camera
   Text Translation Flutter Application to translate between any two language
   Language Identification Flutter Application to identify the language of text

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 machine learning models and build the following Google Flutter applications in this section

   Image classification Flutter application using MobileNet & EfficientNet models
   Realtime Image classification Flutter application using MobileNet & EfficientNet models
   Object detection Flutter application using MobileNet & EfficientNet models
   Realtime Object detection Flutter application using MobileNet & EfficientNet models

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 & object detection models without knowing any background knowledge of Machine Learning. So we will learn to

   Gather and arrange the dataset for the machine learning model training
   Train Machine Learning Models for Image Classification & Object Detection
   Test those models
   Convert models into TensorFlow lite format
   Use them in Flutter with Images & Live Camera Footage

So in that section, we will

   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 for Flutter
   Pretrained TensorFlow lite models for Flutter
   Training image classification models for Flutter

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 in Flutter with Images and live camera footage
   Barcode Scanning in Flutter with Images and live camera footage
   Text Recognition in Flutter with Images and live camera footage
   Face Detection in Flutter with Images and live camera footage
   Object Detection in Flutter with Images and live camera footage
   Pose Detection in Flutter with Images and live camera footage
   Smart Reply in Flutter
   Text Translation in Flutter
   Language Identification In Flutter
   Digital Ink Recognition in Flutter
   Entity Extraction in Flutter

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 Flutter ( ImageNet  model & EfficientNet model )
   Object Detection  Flutter ( MobileNet model & EfficientNet 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 flutter 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
   Retraining existing models using Transfer Learning
   Using those trained models inside Google Flutter dart Applications

So we will train the models to recognize different fruits and then build Google Flutter 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 applications using Google Flutter dart
   Train your own Image classification & Object Detection models and build Flutter applications.

You’ll also have a portfolio of over 20 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 20 fully-fledged flutter applications 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 Flutter (Android or IOS) application you want
   $2500+ Source codes of 20 Applications.

REMEMBER… I’m so confident that you’ll love this course and you will also get 30-day money-back guarantee from udemy. So it’s a complete no-brainer, sign up today.

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
   An 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 you or other such courses).
   Developers Who want to train custom Machine Learning models for Image Classification & Object Detection

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

Requirements

   A little Knowledge of App Development in Flutter

Last Updated 11/2022
YouTube Video:
Category:Tutorials
Language:English  English
Total Size:8.10 GB
Info Hash:D3FE2ABD2599EC3BF81E4E80E6AAE5E6A297B745
Added By:tutsnode Verified UploaderVIP
Date Added:2022-12-25 22:24:35
Torrent Status:Torrent Verified


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