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Course Curriculum

Course Curriculum

Unit 01: Introduction
Module 01: Course Curriculum 00:02:00
Unit 02: Image Picker and Camera Libraries
Module 01: Image Picker Library for Flutter App Development 00:13:00
Module 02: Flutter Image Picker Application Testing 00:01:00
Module 03: Camera Package Setup for Flutter 00:04:00
Module 04: Flutter Camera Package Code 00:08:00
Unit 03: Firebase ML Kit
Module 01: Firebase ML kit section Introduction 00:01:00
Module 02: Firebase ML Kit introduction 00:02:00
Unit 04: Image Labeling using ML Kit
Module 01: Flutter Image Labeling Section Introduction 00:02:00
Module 02: Importing Starter code for image labeling 00:01:00
Module 03: Image labeling starter code explanation 00:06:00
Module 04: Creating firebase project for image labeling 00:06:00
Module 05: Adding Firebase ML Vision library in Flutter Application 00:10:00
Module 06: Testing Firebase Image labeling application 00:01:00
Module 07: Importing Image Labeling live feed application starter code 00:03:00
Module 08: Flutter Camera Package Code 00:06:00
Module 09: Flutter Image Labeling live feed application code 00:08:00
Module 10: Flutter Image labeling live feed application testing 00:01:00
Unit 05: Section Barcode Scanning
Module 01: Flutter Barcode Scanning Section Introduction 00:02:00
Module 02: Importing Starter code for Flutter Barcode Scanning 00:03:00
Module 03: Flutter Barcode Scanning code 00:11:00
Module 04: Flutter Barcode Scanning Application Testing 00:01:00
Module 05: Flutter Barcode Scanning Live Feed Application code 00:08:00
Module 06: Flutter Barcode Scanning Live feed Application Testing 00:01:00
Unit 06: Section Text Recognition
Module 01: Flutter Text Recognition Section Introduction 00:01:00
Module 02: Importing Starter code for Flutter Text Recognition 00:03:00
Module 03: Writing Flutter Text Recognition Code 00:09:00
Module 04: Testing Flutter Text Recognition Application 00:01:00
Unit 07: Section Face Detection
Module 01: Flutter Face Detection Section Introduction 00:02:00
Module 02: Flutter Face Detection Application Flow 00:01:00
Module 03: Flutter Face Detection code 00:06:00
Module 04: Flutter drawing rectangles around detected faces 00:05:00
Unit 08: Pretrained Tensorflow lite models
Module 01: Pretrained Tensorflow lite models Section Introduction 00:02:00
Unit 09: Section Image Classification
Module 01: Flutter Image classification Section introduction 00:02:00
Module 02: Importing Starter code for Flutter Image classification application 00:03:00
Module 03: Starter code explanation for Flutter Image classification 00:06:00
Module 04: Writing flutter image classification code 00:13:00
Module 05: Testing flutter image classification application 00:02:00
Module 06: Importing Flutter live feed Image classification application starter code 00:03:00
Module 07: Starter code explanation of Flutter Live feed Image classification application 00:05:00
Module 08: Writing Flutter Image classification code 00:11:00
Module 09: Testing live feed image classification flutter application 00:01:00
Unit 10: Section object detection
Module 01: Flutter Object detection section introduction 00:02:00
Module 02: Importing Application code object detection flutter 00:05:00
Module 03: Flutter Object detection code 00:13:00
Module 04: Flutter Drawing Rectangles around detected objects 00:04:00
Module 05: Importing the code for live feed object detection flutter application 00:02:00
Module 06: Testing object detection live feed flutter application 00:01:00
Module 07: Flutter Live feed object detection application code 00:10:00
Unit 11: Section human pose estimation
Module 01: Flutter Pose estimation section introduction 00:02:00
Module 02: Importing Flutter Pose estimation Application code 00:04:00
Module 03: Flutter Pose estimation code 00:10:00
Module 04: Importing pose estimation live feed flutter application code 00:02:00
Module 05: Flutter Live feed pose estimation application demo 00:01:00
Module 06: Using PoseNet model for Flutter Live feed pose estimation application 00:08:00
Unit 12: Image segmentation section
Module 01: Flutter Image Segmentation Section Introduction 00:02:00
Module 02: Importing Flutter Image Segmentation Application code 00:03:00
Module 03: Flutter using DeepLab model for image segmentation 00:09:00
Unit 13: Section Training Image Classification Models
Module 01: Section Introduction 00:02:00
Module 02: Machine Learning and Image classification 00:02:00
Unit 14: Dog Breed Classification
Module 01: Flutter getting the dataset for model training 00:05:00
Module 02: Flutter Training the model 00:06:00
Module 03: Flutter Dog Breed Classification Application 00:18:00
Module 04: Flutter Live feed dog breed classification application 00:03:00
Module 05: Testing live feed dog breed classification application 00:01:00
Unit 15: Fruits Recognition using Transfer Learning
Module 01: Transfer learning introduction 00:02:00
Module 02: Flutter getting the dataset for model training 00:05:00
Module 03: Flutter Training fruit recognition model 00:09:00
Module 04: Flutter Testing Live feed fruits recognition application 00:01:00

Machine Learning in Flutter: Complete Guide

4.6 ( 8 REVIEWS )
300 STUDENTS
$ 249.00
Machine Learning in Flutter: Complete Guide
  • Course Highlights

Learn the smart way of using machine learning in Flutter to build smart android and iOS applications with the Machine Learning in Flutter: Complete Guide course.

Flutter is a software development kit for developing beautiful applications from a single codebase. Moreover, if you can infuse machine learning within Flutter, you can craft wonders. This complete guide aims to provide you with the fundamental knowledge and skills required to use Machine Learning in Flutter to equip you with this phenomenal skill.

This complete guide will give you a solid foundation of the Firebase ML kit as well as a detailed idea about the image picker library and camera package setup for Flutter. You will explore a broad range of flutter widgets like image labelling, face detection, pose estimation and so on. 

Enrol in this Machine Learning in Flutter: Complete Guide course today and build high-quality and functionally-rich apps using machine Learning in Flutter.

  • Learning outcome
  • Gain a solid understanding of Machine learning in Flutter to build android and iOS apps.
  • Explore the image picker library and learn about the camera package setup for Flutter.
  • Get the hang of the Firebase ML Kit and its features.
  • Know about image labelling and barcode scanning in Flutter.
  • Learn in detail about text recognition and face detection in Flutter.
  • Become familiar with the use of Tensorflow lite models in Flutter.
  • Develop the skill of image segmentation and pose estimation in Flutter.
  • Understand the ins and outs of image classification models for Flutter.
  • Requirements
  • No formal qualifications required, anyone from any academic background can take this course.
  • Access to any internet-enabled smart device.
  • Why should I take this course?
  • 5+ hours of on-demand video lectures and downloadable resources.
  • Affordable premium-quality E-learning content, you can learn at your own pace.
  • You will receive a completion certificate upon completing the course.
  • Internationally recognized Accredited Qualification will boost up your resume.
  • You will learn the researched and proven approach adopted by successful salespeople to transform their careers.
  • You will be able to incorporate various practical sales techniques successfully and understand your customers better.

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