Ementorhub

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

Skills you'll gain

iOS Development

Android Development

Computer Vision

Tensorflow

Embedded Systems

Mobile Development

Swift Programming

Applied Machine Learning

Machine Learning Methods

There are 4 modules in this course

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 embedded systems using TensorFlow on Raspberry Pi and microcontrollers. This Specialization builds upon our TensorFlow in Practice Specialization. If you are new to TensorFlow, we recommend that you take the TensorFlow in Practice Specialization first. To develop a deeper, foundational understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.

Running a TF model in an Android App

Building the TensorFLow model on IOS

TensorFlow Lite on devices