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 Learning
  • Html
  • Web Application
  • Tensorflow
  • JavaScript

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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