Udemy – On-Device Machine Learning : Train Models & Deploy in Mobile 2024-11
Published on: 2024-11-19 12:12:47
Categories: 28
Description
On-Device Machine Learning Course: Train Models & Deploy in Mobile. This comprehensive course offers you the potential of machine learning (ML) and mobile application development in one complete course. Designed for beginners and experienced developers, this course will guide you from basic ML concepts to building and deploying smart mobile apps on Android, Flutter, and iOS. By the end of this course, you’ll have mastered the entire ML workflow—from training models in Python to deploying them in mobile apps. Whether you’re a developer looking to add AI to your apps or a data scientist looking to expand your skills to deploying ML models on mobile, this course is for you.
What you will learn
- Teaching machine learning and deep learning models, optimizing and using them in mobile applications to build ML-based applications on the device
- Integrating trained models into mobile applications using frameworks such as Flutter (Android and iOS), Android Native (Kotlin) and iOS Native (Swift)
- Training image classification models and optimizing them for mobile deployment.
- Collecting and labeling data, training the object recognition model and converting it to TensorFlow Lite.
- Building and training a linear regression model and preparing it for mobile use with TensorFlow Lite.
- Understanding the basics of machine learning, its types and how to apply it in real world scenarios.
- Gain basic knowledge about deep learning and how artificial neural networks work.
- Building practical applications that use ML models, such as prediction applications, image classification, and object recognition with image and video processing.
- Learn key Python syntax and data science libraries, including NumPy, Pandas, and Matplotlib.
- Mastering TensorFlow for model training and TensorFlow Lite for model optimization and mobile deployment.
- Training more advanced models such as predicting fuel consumption and housing prices and then converting them to TensorFlow Lite.
This course is suitable for people who
- Anyone who wants to build smart mobile apps that use ML models for real-world applications.
- Anyone new to machine learning and looking for a hands-on course with practical applications.
- People with a background in data science who want to expand their skills towards deploying ML models on mobile.
- Android, iOS and Flutter developers who want to add machine learning capabilities to their apps.
- Developers interested in learning how to integrate machine learning models into mobile applications.
- Professionals looking to provide machine learning application development services for clients.
Course specifications On-Device Machine Learning: Train Models & Deploy in Mobile
Course headings
Prerequisites of the On-Device Machine Learning course: Train Models & Deploy in Mobile
- No prior experience in machine learning, deep learning, or app development is required, but a willingness to learn these topics will be beneficial.
Course images
Sample video of the course
Installation guide
After Extract, view with your favorite Player.
Subtitle: None
Quality: 720p
download link
Download part 1 – 2 GB
Download part 2 – 2 GB
Download part 3 – 2 GB
Download part 4 – 2 GB
Download part 5 – 2 GB
Download part 6 – 2 GB
Download part 7 – 1.3 GB
File(s) password: www.downloadly.ir
File size
13.3 GB
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