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.
Фильтр по:
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.
Coursera Footer
© Coursera Inc., 2021 Все права защищены.
