返回到 Getting Started with Tensorflow.js
學生對 Coursera Project Network 提供的 Getting Started with Tensorflow.js 的評價和反饋
課程概述
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.
篩選依據：
1 - Getting Started with Tensorflow.js 的 3 個評論（共 3 個）
創建者 Charles I N I
•2021年2月16日
Thorough and informative
創建者 Yi Z
•2021年1月16日
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.
創建者 Lasal J
•2021年3月15日
The content was very lacking. I thought it would be an awesome course but wasn't what I expected. Very basic.
Coursera Footer
© 2022 Coursera Inc.保留所有權利。
