On-Device Machine Learning for Mobile Apps with Tensorflow
Hands-on course for training Machine Learning models and deploying in Mobile Apps with Tensorflow & Tensorflow Lite
5.00 (1 reviews)
87
students
19.5 hours
content
Feb 2025
last update
$54.99
regular price
What you will learn
Train Machine Learning & Deep Learning models, Optimize & use them in Mobile Apps to build On-Device ML Powered Apps
Integrate trained models into mobile applications using frameworks like Flutter(Android& IOS), Native Android(Kotlin) & Native IOS(Swift)
Train image classification models and optimize them for mobile deployment.
Collect and annotate data, train an object detection model, and convert it to TensorFlow Lite.
Build and train a linear regression model and prepare it for mobile use with TensorFlow Lite.
Understand the basics of machine learning, its types, and how it’s applied in real-world scenarios.
Gain foundational knowledge in deep learning and how artificial neural networks work.
Build functional apps that leverage ML models, such as prediction apps, image classifiers, and object detectors with image and video processing.
Learn key Python syntax and data science libraries, including NumPy, Pandas, and Matplotlib.
Master TensorFlow for model training and TensorFlow Lite for model optimization and deployment on mobile.
Train more advanced models like fuel efficiency and house price predictions, then convert them to TensorFlow Lite.
Screenshots
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udemy ID
9/27/2024
course created date
11/6/2024
course indexed date
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