TensorFlow lite course for Android App Development | train tensorflow lite models for android
Our latest Android machine learning course is live now. Over 20 hours of content with more than 20 Android Machine learning applications. So enroll now using below link
Android 15 & Machine Learning with Tensorflow Lite - 2024 Edition
https://www.udemy.com/course/android-...
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🚀🚀🚀🚀🚀🚀Learn Use of Machine Learning & AI in Android with our Android Machine Learning Courses
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1: Android 15 & Machine Learning with Tensorflow Lite - 2025 Edition
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2: Face Recognition and Detection in Android- The 2025 Guide🔥🔥
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3: Train Object Detection Models for Android - The 2025 Guide
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4: Android & Google Gemini - Build AI Powered Smart Android Apps
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5: Train Image Classification Models & build Smart Android Apps 2025
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6: AI for Price Prediction: Build Smart Android Applications
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7: ChatGPT & Android: Build Chatbots & Assistants
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8: Machine Learning use in Android The Complete 2024 Guide
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The complete course is available both in java and kotlin programming language.
Tired of traditional Android App Development courses? Now its time to learn something new and trending for Android. Machine Learning is at its peak and Android App Development is also in demand than what is better than learning both?
1: Python Programming Language
2: Data Science Libraries
3: Basics of Machine Learning and Deep Learning
4: Tensorflow and Tensorflow Lite
Then we will train our first Machine Learning model and Develop an Android Application for it using Android Studio.
The course includes examples from basic to advance
1: A very simple example
2: Example using saved model
3: Example using concrete function
4: Predicting fuel efficiency of automobiles (Regression Example)
5: Recognizing handwritten digits (Classification example)
6: Cats and Dogs classification
7: Rock Paper and Scissors Problem
8: Flowers Recognition Example
9: Stones Recognition Example
10: Fruits Recognition Example
11: Predicting Fitness of a person Practice Activity
12: Human and Horse Practice Activity
For each of these examples, we will firstly train the Machine Learning model then build Android Application
We will start by learning about the basics of the Python programming language. Then we will learn about some famous Machine Learning libraries like Numpy, Matplotlib, and Pandas. After that, we will learn about Machine learning and its types. Then we look at Supervised learning in detail. We will try to understand classification and regression through examples. After we will start Deep learning. We start by looking and the basic structure of neural networks. Then we will understand the working of neural networks through an example.
Then we will learn about the Tensorflow 2.0 library and how we can use it to train Machine Learning models. After that, we will look at Tensorflow lite how we can convert our Machine Learning models to tflite format which will be used inside Android Applications. There are three ways through which you can get a tflite file
1: From Keras Model
2: From Concrete Function
3: From Saved Model
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