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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 von 3 Bewertungen für Getting Started with Tensorflow.js
von Charles I N I
•16. Feb. 2021
Thorough and informative
von Yi Z
•16. Jan. 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.
von Lasal J
•15. März 2021
The content was very lacking. I thought it would be an awesome course but wasn't what I expected. Very basic.
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