单项课程

Introduction to TensorFlow Lite

by
TensorFlow Lite

Learn how to deploy deep learning models on mobile and embedded devices with TensorFlow Lite.

关于此课程

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.

学费
免费
学习时间
大约 2 个月
难度
中级
你将获得

丰富的教学材料丰富的教学材料

互动随堂练习互动随堂练习

业界专业导师业界专业导师

自主掌握进度自主掌握进度

课程讲师

Daniel Situnayake

Daniel Situnayake

Developer Advocate, Google

Paige Bailey

Paige Bailey

Developer Advocate, Google

Juan Delgado

Juan Delgado

Content Developer, Udacity

你将学到什么

先修知识及要求

General Experience: Some familiarity with the TensorFlow Lite framework, and comfortability with Object Oriented Programming, Python, Swift, Android, and Machine Learning.

查看使用优达学城的 技术要求

为什么学习这门课程?

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.

我将获得什么?
  • 教学视频
  • 随堂练习
  • 专业导师