Getting Started with Tensorflow.js

提供方
Coursera Project Network
在此指導項目中,您將:

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中級
Cloud無需下載
Video分屏視頻
Comment Dots英語(English)
Laptop僅限桌面

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.

您要培養的技能

Deep LearningHtmlWeb ApplicationTensorflowJavaScript

分步進行學習

在與您的工作區一起在分屏中播放的視頻中,您的授課教師將指導您完成每個步驟:

  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

指導項目工作原理

您的工作空間就是瀏覽器中的雲桌面,無需下載

在分屏視頻中,您的授課教師會為您提供分步指導

常見問題

常見問題

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