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所在平台: Udemy |
课程主页: https://www.udemy.com/course/machine-learning-use-in-flutter-the-complete-guide/
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课程名称：Flutter机器学习 - 完整的Flutter ML指南 概述： 欢迎来到《Flutter机器学习 - 完整的Flutter ML指南》课程。本课程覆盖了在Flutter应用程序中使用机器学习模型的所有基本概念，是在线上最全面的Google Flutter ML课程。重要的是，您无需具备机器学习和计算机视觉的背景知识，即可使用机器学习模型并训练自己的定制模型。课程从简单的示例开始，教您如何在Flutter（Android和iOS）应用程序中使用高级机器学习模型。完成此课程后，您将能够在Flutter应用程序中使用简单和高级的TensorFlow Lite模型以及Firebase ML Kit。 课程内容： 1. 理解如何在Flutter（Android和iOS）应用程序中使用现有的机器学习模型。 2. 学会训练自己的自定义机器学习模型并构建Flutter应用程序。 3. 在自定义数据集上训练机器学习模型进行图像分类和物体检测。 4. 从图库选择图像和使用相机捕捉图像，同时展示实时的相机影像。 5. 进行图像分类、对象检测、图像分割、条形码扫描、姿态估计、文本识别、文本翻译、面部检测等。 课程结构： - 学习使用Image Picker和Camera库，选择图像和获取实时镜头。 - 深入了解Firebase ML Kit及其功能，构建应用程序示例。 - 使用Firebase ML Kit功能，构建图像标签、条形码扫描、文本识别、面部检测、对象检测和其他应用程序。 - 了解如何使用流行的预训练TensorFlow Lite模型，在Flutter应用程序中实现图像分类和对象检测。 - 学习如何收集和整理数据集，利用简单的点击训练模型。 - 用实例训练狗品种识别模型和水果识别模型，构建相应的Flutter应用。 通过本课程，您将能够： - 在Google Flutter（Dart）应用中使用Firebase ML Kit。 - 使用预训练的TensorFlow Lite模型。 - 训练自己的图像分类模型，并构建Flutter应用。 - 建立20多个Flutter应用程序以展示您的技能。 对于初学者、希望提升的中级开发者以及经验丰富的开发者，该课程均适用。课程还提供30天无理由退款保证，零风险，竭诚欢迎您的加入！
Note: Lectures and Resources are updated in April 2024Welcome to the Machine Learning for Flutter - The Complete Flutter ML GuideCovering 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 have background working knowledge of Machine learning and computer vision to use ML models inside Flutter 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) applicationsLearn to train your own custom machine-learning models and build Flutter applicationsTrain Machine Learning models on Custom datasets for Image Classification and object DetectionChoosing images from the gallery and capturing images using the camera in FlutterDisplaying live camera footage and fetching frames of live camera footage in FlutterImage 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 codesPose Estimation in Flutter to detect human body jointsText Recognition in Flutter to recognize text in imagesText Translation in Flutter to translate between different languagesFace Detection in Flutter to detect faces, facial landmarks, and facial expressionsSmart Reply in FlutterDigital Ink Recognition in FlutterLanguage Identification in FlutterTraining image classification models for Flutter (Android and IOS) applicationsTraining object detection models for Flutter (Android and IOS) applicationsRetraining existing machine learning models with transfer learning for Flutter (Android and IOS) applicationsUsing our custom machine learning models in Flutter (Android and IOS) applicationsCourse structureWe will start by learning about two important librariesImage Picker: to choose images from the gallery or capture images using the camera in FlutterCamera: to get live footage from the camera frame by frame in FlutterSo later we can use a computer vision model with both images and live camera footage in FlutterThen 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 areImage labeling Flutter application using images of gallery and cameraImage labeling Flutter application using live footage from the cameraBarcode Scanning Flutter application using images of gallery and cameraBarcode Scanning Flutter application using live footage from the cameraText Recognition Flutter application using images of gallery and cameraText Recognition Flutter application using live footage from the cameraFace Detection Flutter application using images of gallery and cameraFace Detection Flutter application using live footage from the cameraObject Detection Flutter application using images of gallery and cameraObject Detection Flutter application using live footage from the cameraSmart Reply Flutter Application to generate smart reply suggestions in chat applicationsDigital Ink Recognition Application to Recognize handwritten textEntity Extraction Flutter Application to extract different entities from textPose Detection Flutter application using images of gallery and cameraPose Detection Flutter application using live footage from the cameraText Translation Flutter Application to translate between any two languageLanguage Identification Flutter Application to identify the language of textAfter 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 sectionImage classification Flutter application using images of gallery and cameraImage classification Flutter application using live footage from the cameraObject detection Flutter application using images of gallery and cameraObject detection Flutter application using live footage from the cameraAfter 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 having any background knowledge of Machine Learning. So we will learn toGather and arrange the data set for the machine learning model training Training Machine learning on some platforms with just a few clicksSo in that section, we willTrain a dog breed classification model for FlutterBuild a Flutter ( Android & IOS ) application to recognize different breeds of dogsTrain Fruit recognition model using Transfer learningBuilding a Flutter ( Android & IOS ) application to recognize different fruitsSo the course is mainly divided into three major sectionsFirebase ML Kit for FlutterPretrained TensorFlow lite models for Flutter Training image classification models for FlutterIn the first section, we will learn the use of Firebase ML Kit inside the Flutter dart applications for common use cases likeImage Labeling in Flutter with Images and live camera footageBarcode Scanning in Flutter with Images and live camera footageText Recognition in Flutter with Images and live camera footageFace Detection in Flutter with Images and live camera footageText Recognition Flutter with Images and live camera footageObject Detection Flutter application with Images and live camera footageSmart Reply Flutter Application to generate smart reply suggestions in chat based flutter applicationsDigital Ink Recognition Application to Recognize handwritten textEntity Extraction Flutter Application to extract different entities from textPose Detection Flutter application with Images and live camera footageText Translation Flutter Application to translate between any two languageLanguage Identification Flutter Application to identify the language of textSo 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 apart from simple ML-based applications, you will also be able to build real-time face detection and image labeling applications in Google Flutter Dart using the live camera footage. 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 pre-trained powered ML models inside Google Flutter Dart for building Image Classification Flutter Object Detection Flutterapplications. 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 applicationsSo 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 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 toCollect and arrange the dataset for model trainingTraining the Machine Learning models from scratch using Teachable-MachineRetraining existing models using Transfer LearningUsing those trained models inside Google Flutter Dart ApplicationsSo we will train the models to recognize different breeds of dogs and recognize different fruits and then build Google Flutter Applications using those models for Android and IOSBy the end of this course, you will be able Use Firebase ML kit inside Google Flutter dart applications for Android and IOSUse pre-trained Tensorflow lite models inside Android & IOS applications using Google Flutter dartTrain your own Image classification models and build Flutter applicationsYou'll also have a portfolio of over 20 Flutter apps that you can show off to any potential employerSign up today, and look forwards to:HD 1080p video content, everything you'll ever need to succeed as a Google Flutter Machine Learning developerBuilding over 20fully-fledged flutter applications including ones that use Objet detection, Text Recognition, Pose estimation models, and much much moreAll the knowledge you need to start building the Machine Learning-based Flutter (Android or IOS) application you want$2000+ Source codes of 15 ApplicationsREMEMBER… 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 gainSo 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 FlutterIntermediate Flutter ( Dart ) developer wanted to build a powerful Machine Learning-based application in Google FlutterExperienced Flutter ( Dart ) developers wanted to use Machine Learning models inside their applications.
