Tensorflow lite for Flutter
Duration: 4h12m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 2.04 GB
Genre: eLearning | Language: English
Live feed Object detection , Image classification Flutter Apps | Regression | Training ML models | 10+ Flutter Dart Apps

What you'll learn
Use of Tensorflow lite models in Flutter
Training Image classification model and Building Flutter
Using Regression model in Flutter
Building live feed Object Detection , Image Segmentation Flutter applications
Building live feed image classification , Pose estimation Flutter applications
Training Fruit Recognition model and building Flutter Application
Building Dog breed identification Flutter 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.

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 Google 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 Google Flutter (Dart) application for that model.

After taking this course you will be able to

use pre-trained ML(Machine Learning) models in Google Flutter ( Dart )

train your own Image classification models

10+ powerful ML(Machine Learning)-based Google  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 Google Flutter ( Dart ) ML abilities

Who this course is for:

Beginner Flutter developer with little knowledge of mobile app development in Google Flutter

Intermediate Flutter developer wanted to build a powerful Machine Learning-based application in Google Flutter

Experienced Google  Flutter developers wanted to use Machine Learning models inside their applications.

Anyone who took a basic Google 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

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