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Device-based Models with TensorFlow Lite
Coursera
Course
Unknown

Device-based Models with TensorFlow Lite

DeepLearning.AI

Bringing a machine learning model into the real world involves a lot more than just modeling. This Specialization will teach you how to navigate various deployment scenarios and use data more effectively to train your model. This second course teaches you how to run your machine learning models in mobile applications. You’ll learn how to prepare models for a lower-powered, battery-operated devices, then execute models on both Android and iOS platforms. Finally, you’ll explore how to deploy on e

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About this Course

Bringing a machine learning model into the real world involves a lot more than just modeling. This Specialization will teach you how to navigate various deployment scenarios and use data more effectively to train your model. This second course teaches you how to run your machine learning models in mobile applications. You’ll learn how to prepare models for a lower-powered, battery-operated devices, then execute models on both Android and iOS platforms. Finally, you’ll explore how to deploy on e

What You'll Learn

  • Prepare models for battery-operated devices
  • Execute models on Android and iOS platforms
  • Deploy models on embedded systems like Raspberry Pi and microcontrollers

Instructors

L

Laurence Moroney

Topics

Android Development
iOS Development
Tensorflow
Model Deployment
Machine Learning
Swift Programming
Mobile Development
Applied Machine Learning
Embedded Systems
Computer Vision

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

Android Development
iOS Development
Tensorflow
Model Deployment
Machine Learning
Swift Programming
Mobile Development
Applied Machine Learning
Embedded Systems
Computer Vision

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