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返回到 Getting Started with Tensorflow.js

学生对 Coursera Project Network 提供的 Getting Started with Tensorflow.js 的评价和反馈

课程概述

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....
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1 - Getting Started with Tensorflow.js 的 3 个评论(共 3 个)

创建者 Charles I N I

Feb 16, 2021

Thorough and informative

创建者 Yi Z

Jan 16, 2021

Not recommended.

$9.99 is way more expensive for a session which is uninformative like this one. It is too shallow with simple implementation in the project.

创建者 Lasal J

Mar 15, 2021

The content was very lacking. I thought it would be an awesome course but wasn't what I expected. Very basic.