Getting Started with Tensorflow.js

提供方
Coursera Project Network
在此指导 项目中,您将:

Set up a browser-based project using script tags and an HTML body

Import pre-trained Keras models into a Tensorflow.js web app

Code a prototype Web app using Tensorflow.js

Clock2 hours
Intermediate中级
Cloud无需下载
Video分屏视频
Comment Dots英语(English)
Laptop仅限桌面

By the end of this project, you will learn how to code a smart webcam to detect people and other everyday objects using a pre-trained COCO-SSD image recognition model with Tensorflow.js. Based on an older library called deeplearn.js, Tensorflow.js is a deep learning library that leverages Tensorflow to create, train and run inference on artificial neural network models directly in a web browser, utilizing the client's GPU/CPU resources (accelerated using WebGL). Tensorflow.js brings Tensorflow to the web! JavaScript/Typescript experience is heavily recommended. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

您要培养的技能

Deep LearningHtmlWeb ApplicationTensorflowJavaScript

分步进行学习

在与您的工作区一起在分屏中播放的视频中,您的授课教师将指导您完成每个步骤:

  1. Getting Familiar with Tensorflow.js

  2. Using ml5js

  3. Setting up a Tensorflow.js Project

  4. We are going to very briefly cover CSS styling in the p5js editor

指导项目工作原理

您的工作空间就是浏览器中的云桌面,无需下载

在分屏视频中,您的授课教师会为您提供分步指导

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