描述：
是否要构建基于机器学习的Android和IOS应用程序？那么欢迎参加“Tensorflow lite for Flutter智能手机APP开发课程”。该课程将教您使用Tensorflow lite模型构建功能强大的基于ML的Flutter应用程序。
我的名字叫Muhammad Hamza Asif，我是移动机器学习讲师和AI企业家。在过去的三年中，我正在向50,000多名学生教授在移动设备中使用ML（机器学习）和计算机视觉的方法。
MP4 | 视频：h264，1280×720 | 音频：AAC，44.1 KHz，2声道
类型：在线学习| 语言：英语+ .srt | 时长：52堂课（4h 12m）| 大小：1.74 GB
您将学到的内容：
- 在Flutter中使用Tensorflow lite模型
- 在Flutter中使用回归模型
- 训练图像分类模型
- 构建实时Feed对象检测Flutter应用程序
- 构建实时Feed图像分类，姿势估计Flutter应用程序
- Building 10+ Flutter ML Applications
- Training水果识别模型
- 狗品种识别应用
要求
Flutter的一些基本知识
本课程的对象：
初级Flutter开发人员，对Flutter中的移动应用程序开发了解很少。
中级Flutter开发人员想要在Flutter中构建基于功能强大的基于机器学习的应用程序。
有经验的Flutter开发人员想要在其应用程序中使用机器学习模型。
之前参加过基础flutter移动应用程序开发课程的任何人（例如angela yu的flutter应用程序开发课程或其他此类课程）。
本课程适合
初学者Flutter开发人员，希望在Flutter中学习使用机器学习中级Flutter开发人员希望提高他们的技能
Flutter专业开发人员想要构建最先进的应用程序
Flutter开发人员想要在Flutter中学习Tensorflow lite模型
Live feed Object detection , Image classification , Pose Estimation | Regression | Training ML models | 10+ Apps
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 52 lectures (4h 12m) | Size: 1.74 GB
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
Description
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
