Introduction to TensorFlow Lite

Online Course

Udacity

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Prerequisites & Facts
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What is the course about?

Introduction to TensorFlow Lite

The course Introduction to TensorFlow Lite is an online class provided by Udacity. The skill level of the course is Intermediate. It may be possible to receive a verified certification or use the course to prepare for a degree.

Learn how to deploy deep learning models on mobile and embedded devices with TensorFlow Lite. This course was developed by the TensorFlow team and Udacity as a practical approach to model deployment for software developers. You’ll get hands-on experience with the TensorFlow Lite framework as you deploy deep learning models on Android, iOS, and even an embedded Linux platform. By the end of this course, you’ll have all the skills necessary to start deploying your own deep learning models into your apps.

Course description

Introduction to TensorFlow Lite
2 months

Learn how to deploy deep learning models on mobile and embedded devices with TensorFlow Lite.
Build Deep Learning Models Today

Introduction to TensorFlow Lite
TensorFlow Lite on Android
TensorFlow Lite on Swift
TensorFlow Lite on IoT

Learn how TensorFlow works under the hood
Learn how to quantize models
Learn how to test your TF Lite Models in Python
Deploy a TF Lite Model to an Android app that classifies images of cats and dogs
Deploy a TF Lite Model to an Android app that classifies images of various objects
Deploy a TF Lite Model to an Android app that performs object detection
Deploy a TF Lite Model to an Android app that recognizes speech commands
Deploy a TF Lite Model to an iOS app that classifies images of cats and dogs
Deploy a TF Lite Model to an iOS app that classifies images of various objects
Deploy a TF Lite Model to an iOS app that performs object detection
Deploy a TF Lite Model to an iOS app that recognizes speech commands
Deploy a TF Lite Model to a Linux embedded platform that classifies images of cats and dogs
Deploy a TF Lite Model to a Linux embedded platform that classifies images of various objects
Deploy a TF Lite Model to a Linux embedded platform that performs object detection

General Experience: Some familiarity with the TensorFlow Lite framework, and comfortability with Object Oriented Programming, Python, Swift, Android, and Machine Learning.
See the Technology Requirements for using Udacity.

With TensorFlow Lite, the Google TensorFlow team has introduced the next evolution of the TensorFlow Framework, specifically designed to enable machine learning at low latency on mobile and embedded devices. This course was created as a practical approach to model deployment for software developers, providing hands-on experience deploying deep learning models on Android, iOS, and even an embedded Linux platform. Get started today to stay on the cutting-edge of machine learning practices.

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Prerequisites & Facts

Introduction to TensorFlow Lite

Course Topic

Deep Learning

University, College, Institution

Udacity

Course Skill Level

Intermediate

see course summary

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

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Degree & Cost

Introduction to TensorFlow Lite

To obtain a verified certificate from Udacity you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.

Udacity

Introduction to TensorFlow Lite

provided by Udacity

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