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Вернуться к Getting Started with Tensorflow.js

Отзывы учащихся о курсе Getting Started with Tensorflow.js от партнера Coursera Project Network

О курсе

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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1–3 из 3 отзывов о курсе Getting Started with Tensorflow.js

автор: Charles I N I

16 февр. 2021 г.

Thorough and informative

автор: Yi Z

16 янв. 2021 г.

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.

автор: Lasal J

15 мар. 2021 г.

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