Flutter & Tensorflow Lite - Train Image Classification, Object Detection & Linear Regression Models for Flutter Apps

5 min readSep 15, 2024

Training Machine Learning models seems a pro-level task and using your custom Machine Learning models in Mobile Apps seems even complicated. But in reality, it's quite simple and fun.

So, if you want to train Image Classification, Object Detection & Linear Regression models from scratch and use these models in Flutter then we have prepared an exciting course for you.

Flutter & ML: Train Tensorflow Lite models for Flutter Apps

In this course, you will learn to train

Image Classification
Object Detection
Linear Regression

models from scratch and use them in Flutter to build

Fuel Efficiency Predictor App
House Price Prediction App
Fruits Classification App
Brain Tumor Detection App
Fruits Detection App

Enroll Now & avail 92% discount using coupon code “SMARTAPPS2024”

Instructor’s Introduction

I am Muhammad Hamza Asif, a Mobile Machine Learning instructor at udemy. For the last 6 years, I have been teaching the use of Machine Learning and & AI in Mobile Apps to over 56,000 students worldwide.

Course Curriculum

We have divided this course into several modules and each module will take you one step closer to your dream

Module 1: Machine Learning

We will start by learning the basics of machine learning and its types.

Supervised Learning
Unsupervised Learning
Reinforcement Learning

Module 2: Deep Learning & Neural Networks

After that, we will learn about Deep Learning and artificial neural networks using which we train our Machine Learning Models.

Module 3: Python Crash Course

After that, we will learn the basic syntax of Python Programming Language. And later we are going to train our machine-learning models in Python.

Module 4: Data Science Libraries

After learning Python you will learn the use of popular data science libraries like Numpy, Pandas, and Matplotlib in Python. These libraries will help us to prepare and analyze datasets for training our ML models.

Module 5: Tensorflow & TensorFlow Lite

After that, we will learn the use of Tensorflow & Tensorflow Lite libraries. By using Tensorflow we can train Machine Learning models. And by using Tensorflow ite we can convert ML models into mobile-compatible format.

Module 6: Train Your First Machine Learning Model

After learning basics of everything which is required you will learn to train your first machine-learning model of this course. After that, we will convert the model into Tensorflow Lite format and use it in Flutter Application.

Module 7: Fuel Price Prediction

In this section, you will learn to train an advanced linear regression model to predict the fuel efficiency of automobiles. After that, we are going to build our Fuel Efficiency Prediction Flutter Application.

Module 8: House Price Prediction

In this section, you will train your second advanced ML model to predict the prices of houses. After that, we will convert the model into tensorflow lite format and use it in the Flutter App.

Module 9: Image Classification Introduction & Applications

In this section, you will learn the basic introduction of image classification & its real-world applications

Module 10: Data Collection & Classification Model Training

In this section, you will learn to collect datasets for training your first image classification model of this course. After that, we going to train the image classification model using two different approaches.

No Code Approach: Firstly we will train a fruit classification model using a tool. To train the model we don’t need to write any code

Transfer Learning: Secondly you will learn to train image classification models in Python using a technique called transfer learning

Module 11: Fruits Classification Applications

In this section, you will learn to use your own train fruit classification models in Flutter with both

Images
Live Camera Footage

Module 11: Brain Tumor Classification Training & App

After training your first image classification model and using it in Flutter you will have your second assignment of this course. In this assignment, you will train an image classification model to classify brain tumors based on medical images such as MRIs. After that, we are going to use that model in Flutter Apps as well.

Module 13: Object Detection Introduction & Applications

In this section, you will learn the basic introduction of object detection and its application in real world.

Module 14: Object Detection with ML Kit

In this section, you will learn to use the object detection model of Google’s ML Kit library in Flutter with both

Images
Live Camera Footage

Module 15: Object Detection with Own-Trained Models

After building object detection apps with ML Kit you will learn to combine your custom-trained image classification model with the Object detection model of ML Kit to build Fruit Detection Apps. So in these apps object detector will detect the location of objects and an image classification model will be used to classify or recognize those objects.

So By the end of this course, you’ll be equipped to:

Train advanced machine learning models for accurate predictions
Seamlessly integrate tflite models into your Flutter applications
Analyze and use existing regression & vision (ML) models effectively within the Flutter ecosystem

Pre-Requisites

The best part is you don’t need to have any background knowledge of data science and machine learning to take this course
A very little knowledge of App Development in Flutter will be a plus

So what are you waiting for Enroll Now and avail 92% off using coupon code “FLUTTERML92”.

Note: Flutter Machine Learning & AI Courses

If you want to build Machine Learning and AI based smart Flutter apps then check our Mobile Machine Learning courses on udemy. Avail 92% off with coupon code “SMARTAPPS2024” only for limited time