Learn Firebase ML Kit, Tensorflow lite use in Flutter course
Learn the use of Machine Learning in Flutter, Build 15 powerful Flutter applications like Face detection, pose estimation...
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https://www.udemy.com/course/machine-...
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 and only Flutter ML course available online.
We built this course over months, perfecting the curriculum, and covering everything that will help you learn to use Machine Learning models inside flutter applications. This course will teach you to build powerful ML-based applications in Flutter for Android and IOS devices.
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 and train them.
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 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 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 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 Flutter using the live camera footage.
After covering the Google ML Kit, In the second section of this course, you will learn about using Tensorflow lite models inside Flutter. 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 Flutter 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 ML models inside Flutter using two different approaches in the third section of this course you will learn to train your own ML 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 ML models from scratch using Teachable-Machine
Retraining existing models using Transfer Learning
Using those trained models inside Flutter Applications
So we will train the models to recognize different breeds of dogs and to recognize different fruits and then build Flutter Applications using those models for android and IOS.
By the end of this course, you will be able
Use Firebase ML kit inside Flutter applications for Android and IOS
Use pre-trained tflite models inside Android & IOS application using flutter
Train your own Image classification models and build Flutter applications.
You'll also have a portfolio of over 15 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 ML 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 ML-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 Flutter ML course.
Who this course is for:
Beginner Flutter developer with very little knowledge of app development in Flutter
Intermediate Flutter developer wanted to build a powerful ML-based application in Flutter
Experienced Flutter developers wanted to use ML models inside their applications.
Anyone who took a basic flutter development course before.
Смотрите видео Learn Firebase ML Kit, Tensorflow lite use in Flutter course онлайн без регистрации, длительностью часов минут секунд в хорошем качестве. Это видео добавил пользователь Mobile Machine Learning Academy 26 Ноябрь 2020, не забудьте поделиться им ссылкой с друзьями и знакомыми, на нашем сайте его посмотрели 382 раз и оно понравилось 5 людям.