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Getting Started with Tensorflow.js

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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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"Getting Started with Tensorflow.js" is a professional-level course designed to teach you how to code a smart webcam for object detection using Tensorflow.js and the COCO-SSD model. This deep learning library operates directly in web browsers, utilizing GPU/CPU resources. JavaScript/Typescript experience is recommended. Offered by Coursera, the course lasts 120 minutes and is best suited for learners in North America, with subscriptions starting at the Starter level. Ideal for developers looking to enhance their skills in web-based neural network models.